Dieter Fox

Orcid: 0009-0009-4694-9127

Affiliations:
  • University of Washington, Seattle, Washington, USA


According to our database1, Dieter Fox authored at least 384 papers between 1995 and 2024.

Collaborative distances:

Awards

ACM Fellow

ACM Fellow 2020, "For contributions to probabilistic state estimation, RGB-D perception, and learning for robotics and computer vision".

IEEE Fellow

IEEE Fellow 2015, "For contributions to Bayesian state estimation and robotic perception".

Timeline

Legend:

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Online presence:

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Bibliography

2024
Guiding Long-Horizon Task and Motion Planning with Vision Language Models.
CoRR, 2024

Learning to Build by Building Your Own Instructions.
CoRR, 2024

AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation.
CoRR, 2024

OptiGrasp: Optimized Grasp Pose Detection Using RGB Images for Warehouse Picking Robots.
CoRR, 2024

TacSL: A Library for Visuotactile Sensor Simulation and Learning.
CoRR, 2024

FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty.
CoRR, 2024

AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries.
CoRR, 2024

PerAct2: Benchmarking and Learning for Robotic Bimanual Manipulation Tasks.
CoRR, 2024

Manipulate-Anything: Automating Real-World Robots using Vision-Language Models.
CoRR, 2024

3D-MVP: 3D Multiview Pretraining for Robotic Manipulation.
CoRR, 2024

RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics.
CoRR, 2024

RVT-2: Learning Precise Manipulation from Few Demonstrations.
CoRR, 2024

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images.
CoRR, 2024

IntervenGen: Interventional Data Generation for Robust and Data-Efficient Robot Imitation Learning.
CoRR, 2024

ASID: Active Exploration for System Identification in Robotic Manipulation.
CoRR, 2024

AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent.
CoRR, 2024

EVE: Enabling Anyone to Train Robot using Augmented Reality.
CoRR, 2024

Scaling Population-Based Reinforcement Learning with GPU Accelerated Simulation.
CoRR, 2024

THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation.
CoRR, 2024

Fast Explicit-Input Assistance for Teleoperation in Clutter.
CoRR, 2024

EVE: Enabling Anyone to Train Robots using Augmented Reality.
Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology, 2024

ASID: Active Exploration for System Identification in Robotic Manipulation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Implicit Representation for Building Digital Twins of Unknown Articulated Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Partial-View Object View Synthesis via Filtering Inversion.
Proceedings of the International Conference on 3D Vision, 2024

2023
ProgPrompt: program generation for situated robot task planning using large language models.
Auton. Robots, December, 2023

Deep Learning Approaches to Grasp Synthesis: A Review.
IEEE Trans. Robotics, October, 2023

DiSECt: a differentiable simulator for parameter inference and control in robotic cutting.
Auton. Robots, June, 2023

Continuous-Time Fitted Value Iteration for Robust Policies.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

CuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation.
CoRR, 2023

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.
CoRR, 2023

Meta-Policy Learning over Plan Ensembles for Robust Articulated Object Manipulation.
CoRR, 2023

DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability.
CoRR, 2023

Partial-View Object View Synthesis via Filtered Inversion.
CoRR, 2023

Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

AnyTeleop: A General Vision-Based Dexterous Robot Arm-Hand Teleoperation System.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

TerrainNet: Visual Modeling of Complex Terrain for High-speed, Off-road Navigation.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Constrained Generative Sampling of 6-DoF Grasps.
IROS, 2023

CuRobo: Parallelized Collision-Free Robot Motion Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

ProgPrompt: Generating Situated Robot Task Plans using Large Language Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Impossibly Good Experts and How to Follow Them.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

NEWTON: Are Large Language Models Capable of Physical Reasoning?
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Human-to-Robot Handovers from Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

M2T2: Multi-Task Masked Transformer for Object-centric Pick and Place.
Proceedings of the Conference on Robot Learning, 2023

Shelving, Stacking, Hanging: Relational Pose Diffusion for Multi-modal Rearrangement.
Proceedings of the Conference on Robot Learning, 2023

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations.
Proceedings of the Conference on Robot Learning, 2023

Human-in-the-Loop Task and Motion Planning for Imitation Learning.
Proceedings of the Conference on Robot Learning, 2023

STOW: Discrete-Frame Segmentation and Tracking of Unseen Objects for Warehouse Picking Robots.
Proceedings of the Conference on Robot Learning, 2023

RVT: Robotic View Transformer for 3D Object Manipulation.
Proceedings of the Conference on Robot Learning, 2023

AR2-D2: Training a Robot Without a Robot.
Proceedings of the Conference on Robot Learning, 2023

Imitating Task and Motion Planning with Visuomotor Transformers.
Proceedings of the Conference on Robot Learning, 2023

2022
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior.
IEEE Robotics Autom. Lett., 2022

Hierarchical Policies for Cluttered-Scene Grasping With Latent Plans.
IEEE Robotics Autom. Lett., 2022

DefGraspSim: Physics-Based Simulation of Grasp Outcomes for 3D Deformable Objects.
IEEE Robotics Autom. Lett., 2022

iCaps: Iterative Category-Level Object Pose and Shape Estimation.
IEEE Robotics Autom. Lett., 2022

Learning Perceptual Concepts by Bootstrapping From Human Queries.
IEEE Robotics Autom. Lett., 2022

A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation.
IEEE Robotics Autom. Lett., 2022

Sequence-Based Plan Feasibility Prediction for Efficient Task and Motion Planning.
CoRR, 2022

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality.
CoRR, 2022

Neural Fields for Robotic Object Manipulation from a Single Image.
CoRR, 2022

DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations.
CoRR, 2022

Neural Motion Fields: Encoding Grasp Trajectories as Implicit Value Functions.
CoRR, 2022

Correcting Robot Plans with Natural Language Feedback.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Factory: Fast Contact for Robotic Assembly.
Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Model Predictive Control for Fluid Human-to-Robot Handovers.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

StructFormer: Learning Spatial Structure for Language-Guided Semantic Rearrangement of Novel Objects.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

HandoverSim: A Simulation Framework and Benchmark for Human-to-Robot Object Handovers.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Break and Make: Interactive Structural Understanding Using LEGO Bricks.
Proceedings of the Computer Vision - ECCV 2022, 2022

IFOR: Iterative Flow Minimization for Robotic Object Rearrangement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration.
Proceedings of the Conference on Robot Learning, 2022

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation.
Proceedings of the Conference on Robot Learning, 2022

MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare.
Proceedings of the Conference on Robot Learning, 2022

Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming.
Proceedings of the Conference on Robot Learning, 2022

Motion Policy Networks.
Proceedings of the Conference on Robot Learning, 2022

Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation.
Proceedings of the Conference on Robot Learning, 2022

2021
Unseen Object Instance Segmentation for Robotic Environments.
IEEE Trans. Robotics, 2021

PoseRBPF: A Rao-Blackwellized Particle Filter for 6-D Object Pose Tracking.
IEEE Trans. Robotics, 2021

Sim2Real in Robotics and Automation: Applications and Challenges.
IEEE Trans Autom. Sci. Eng., 2021

RMPflow: A Geometric Framework for Generation of Multitask Motion Policies.
IEEE Trans Autom. Sci. Eng., 2021

Learning Composable Behavior Embeddings for Long-Horizon Visual Navigation.
IEEE Robotics Autom. Lett., 2021

Interpreting and predicting tactile signals for the SynTouch BioTac.
Int. J. Robotics Res., 2021

Assistive Tele-op: Leveraging Transformers to Collect Robotic Task Demonstrations.
CoRR, 2021

From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence.
CoRR, 2021

DefGraspSim: Simulation-based grasping of 3D deformable objects.
CoRR, 2021

BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym.
CoRR, 2021

Hierarchical Policies for Cluttered-Scene Grasping with Latent Plans.
CoRR, 2021

Fast Joint Space Model-Predictive Control for Reactive Manipulation.
CoRR, 2021

NeRP: Neural Rearrangement Planning for Unknown Objects.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Robust Value Iteration for Continuous Control Tasks.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reactive Long Horizon Task Execution via Visual Skill and Precondition Models.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Reactive Human-to-Robot Handovers of Arbitrary Objects.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Sim-to-Real for Robotic Tactile Sensing via Physics-Based Simulation and Learned Latent Projections.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Alternative Paths Planner (APP) for Provably Fixed-time Manipulation Planning in Semi-structured Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Object Rearrangement Using Learned Implicit Collision Functions.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Value Iteration in Continuous Actions, States and Time.
Proceedings of the 38th International Conference on Machine Learning, 2021

RGB-D Local Implicit Function for Depth Completion of Transparent Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

DexYCB: A Benchmark for Capturing Hand Grasping of Objects.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

SORNet: Spatial Object-Centric Representations for Sequential Manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

CLIPort: What and Where Pathways for Robotic Manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Semantic Terrain Classification for Off-Road Autonomous Driving.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

LanguageRefer: Spatial-Language Model for 3D Visual Grounding.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

Predicting Stable Configurations for Semantic Placement of Novel Objects.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control.
IEEE Robotics Autom. Lett., 2020

DeepIM: Deep Iterative Matching for 6D Pose Estimation.
Int. J. Comput. Vis., 2020

Perspectives on Sim2Real Transfer for Robotics: A Summary of the R: SS 2020 Workshop.
CoRR, 2020

A User's Guide to Calibrating Robotics Simulators.
CoRR, 2020

Sim-to-Real Task Planning and Execution from Perception via Reactivity and Recovery.
CoRR, 2020

Geometric Fabrics for the Acceleration-based Design of Robotic Motion.
CoRR, 2020

Goal-Auxiliary Actor-Critic for 6D Robotic Grasping with Point Clouds.
CoRR, 2020

RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies.
CoRR, 2020

Watching the World Go By: Representation Learning from Unlabeled Videos.
CoRR, 2020

SymGAN: Orientation Estimation without Annotation for Symmetric Objects.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection.
Proceedings of the Robotics: Science and Systems XVI, 2020

Interpreting and Predicting Tactile Signals via a Physics-Based and Data-Driven Framework.
Proceedings of the Robotics: Science and Systems XVI, 2020

Causal Discovery in Physical Systems from Videos.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Information Theoretic Model Predictive Q-Learning.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Human Grasp Classification for Reactive Human-to-Robot Handovers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Collaborative Interaction Models for Optimized Human-Robot Teamwork.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

6-DOF Grasping for Target-driven Object Manipulation in Clutter.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Scaling Local Control to Large-Scale Topological Navigation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Inferring the Material Properties of Granular Media for Robotic Tasks.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

In-Hand Object Pose Tracking via Contact Feedback and GPU-Accelerated Robotic Simulation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Camera-to-Robot Pose Estimation from a Single Image.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Transferable Task Execution from Pixels through Deep Planning Domain Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Motion Reasoning for Goal-Based Imitation Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Online Replanning in Belief Space for Partially Observable Task and Motion Problems.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Self-supervised 6D Object Pose Estimation for Robot Manipulation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DeepGMR: Learning Latent Gaussian Mixture Models for Registration.
Proceedings of the Computer Vision - ECCV 2020, 2020

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation.
Proceedings of the 4th Conference on Robot Learning, 2020

Multimodal Trajectory Prediction via Topological Invariance for Navigation at Uncontrolled Intersections.
Proceedings of the 4th Conference on Robot Learning, 2020

A User's Guide to Calibrating Robotic Simulators.
Proceedings of the 4th Conference on Robot Learning, 2020

STReSSD: Sim-To-Real from Sound for Stochastic Dynamics.
Proceedings of the 4th Conference on Robot Learning, 2020

Stein Variational Model Predictive Control.
Proceedings of the 4th Conference on Robot Learning, 2020

2019
Contextual Reinforcement Learning of Visuo-tactile Multi-fingered Grasping Policies.
CoRR, 2019

IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
CoRR, 2019

Motion-Nets: 6D Tracking of Unknown Objects in Unseen Environments using RGB.
CoRR, 2019

Trajectory Optimization for Coordinated Human-Robot Collaboration.
CoRR, 2019

BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators.
CoRR, 2019

PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking.
CoRR, 2019

What Should I Do Now? Marrying Reinforcement Learning and Symbolic Planning.
CoRR, 2019

BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators.
Proceedings of the Robotics: Science and Systems XV, 2019

PoseRBPF: A Rao-Blackwellized Particle Filter for6D Object Pose Estimation.
Proceedings of the Robotics: Science and Systems XV, 2019

A Billion Ways to Grasp: An Evaluation of Grasp Sampling Schemes on a Dense, Physics-Based Grasp Data Set.
Proceedings of the Robotics Research, 2019

EARLY FUSION for Goal Directed Robotic Vision.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Representing Robot Task Plans as Robust Logical-Dynamical Systems.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Synthesizing Robot Manipulation Programs from a Single Observed Human Demonstration.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Part Segmentation for Highly Accurate Deformable Tracking in Occlusions via Fully Convolutional Neural Networks.
Proceedings of the International Conference on Robotics and Automation, 2019

Learning Latent Space Dynamics for Tactile Servoing.
Proceedings of the International Conference on Robotics and Automation, 2019

Robust Learning of Tactile Force Estimation through Robot Interaction.
Proceedings of the International Conference on Robotics and Automation, 2019

Prospection: Interpretable plans from language by predicting the future.
Proceedings of the International Conference on Robotics and Automation, 2019

Neural Autonomous Navigation with Riemannian Motion Policy.
Proceedings of the International Conference on Robotics and Automation, 2019

Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing.
Proceedings of the International Conference on Robotics and Automation, 2019

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience.
Proceedings of the International Conference on Robotics and Automation, 2019

6-DOF GraspNet: Variational Grasp Generation for Object Manipulation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Object Discovery in Videos as Foreground Motion Clustering.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

The Best of Both Modes: Separately Leveraging RGB and Depth for Unseen Object Instance Segmentation.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Conditional Driving from Natural Language Instructions.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Re<sup>3</sup>: Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects.
IEEE Robotics Autom. Lett., 2018

The limits and potentials of deep learning for robotics.
Int. J. Robotics Res., 2018

Perceiving and reasoning about liquids using fully convolutional networks.
Int. J. Robotics Res., 2018

RMPflow: A Computational Graph for Automatic Motion Policy Generation.
CoRR, 2018

RMP<i>flow</i>: A Computational Graph for Automatic Motion Policy Generation.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

PoseCNN: A Convolutional Neural Network for 6D Object Pose Estimation in Cluttered Scenes.
Proceedings of the Robotics: Science and Systems XIV, 2018

Real-time 3D Glint Detection in Remote Eye Tracking Based on Bayesian Inference.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Control.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Simulating Action Dynamics with Neural Process Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

IQA: Visual Question Answering in Interactive Environments.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Deep Object Pose Estimation for Semantic Robotic Grasping of Household Objects.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

SPNets: Differentiable Fluid Dynamics for Deep Neural Networks.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Self-Supervised Visual Descriptor Learning for Dense Correspondence.
IEEE Robotics Autom. Lett., 2017

SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control.
CoRR, 2017

Re3 : Real-Time Recurrent Regression Networks for Object Tracking.
CoRR, 2017

DA-RNN: Semantic Mapping with Data Associated Recurrent Neural Networks.
Proceedings of the Robotics: Science and Systems XIII, 2017

Reasoning About Liquids via Closed-Loop Simulation.
Proceedings of the Robotics: Science and Systems XIII, 2017

Self-directed Lifelong Learning for Robot Vision.
Proceedings of the Robotics Research, The 18th International Symposium, 2017

Visual closed-loop control for pouring liquids.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

SE3-nets: Learning rigid body motion using deep neural networks.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Visual Semantic Planning Using Deep Successor Representations.
Proceedings of the IEEE International Conference on Computer Vision, 2017

See the Glass Half Full: Reasoning About Liquid Containers, Their Volume and Content.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Learning Robotic Manipulation of Granular Media.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

Dynamic High Resolution Deformable Articulated Tracking.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Guided Policy Search with Delayed Senor Measurements.
CoRR, 2016

Detection and Tracking of Liquids with Fully Convolutional Networks.
CoRR, 2016

Towards Learning to Perceive and Reason About Liquids.
Proceedings of the International Symposium on Experimental Robotics, 2016

Autonomous question answering with mobile robots in human-populated environments.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

NEOL: Toward Never-Ending Object Learning for robots.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

RGB-D Based Tracking of Complex Objects.
Proceedings of the Understanding Human Activities Through 3D Sensors, 2016

Evaluating Task-Dependent Taxonomies for Navigation.
Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing, 2016

2015
Gaussian Processes for Data-Efficient Learning in Robotics and Control.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

DART: dense articulated real-time tracking with consumer depth cameras.
Auton. Robots, 2015

Designing information gathering robots for human-populated environments.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Building Hierarchies of Concepts via Crowdsourcing.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Graph-Based Inverse Optimal Control for Robot Manipulation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Depth-based tracking with physical constraints for robot manipulation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Exploring the Potential of Information Gathering Robots.
Proceedings of the Tenth Annual ACM/IEEE International Conference on Human-Robot Interaction, 2015

DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Learning hierarchical sparse features for RGB-(D) object recognition.
Int. J. Robotics Res., 2014

Special issue on robotics: science and systems.
Auton. Robots, 2014

DART: Dense Articulated Real-Time Tracking.
Proceedings of the Robotics: Science and Systems X, 2014

Learning to identify new objects.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Hierarchical sparse coded surface models.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

ST-HMP: Unsupervised Spatio-Temporal feature learning for tactile data.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Unsupervised feature learning for 3D scene labeling.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Toward online 3-D object segmentation and mapping.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Multi-task policy search for robotics.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Space-time functional gradient optimization for motion planning.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning predictive models of a depth camera & manipulator from raw execution traces.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Learning from Unscripted Deictic Gesture and Language for Human-Robot Interactions.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
RGB-D Object Recognition: Features, Algorithms, and a Large Scale Benchmark.
Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Change Their Perception: RGB-D for 3-D Modeling and Recognition.
IEEE Robotics Autom. Mag., 2013

Control strategies for the index finger of a tendon-driven hand.
Int. J. Robotics Res., 2013

Multi-Task Policy Search.
CoRR, 2013

Attribute based object identification.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

RGB-D flow: Dense 3-D motion estimation using color and depth.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Multipath Sparse Coding Using Hierarchical Matching Pursuit.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Compact RGBD Surface Models Based on Sparse Coding.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

Patch Volumes: Segmentation-Based Consistent Mapping with RGB-D Cameras.
Proceedings of the 2013 International Conference on 3D Vision, 2013

2012
RGB-D mapping: Using Kinect-style depth cameras for dense 3D modeling of indoor environments.
Int. J. Robotics Res., 2012

Estimation, planning, and mapping for autonomous flight using an RGB-D camera in GPS-denied environments.
Int. J. Robotics Res., 2012

The design and collection of COSINE, a multi-microphone in situ speech corpus recorded in noisy environments.
Comput. Speech Lang., 2012

DuploTrack: a real-time system for authoring and guiding duplo block assembly.
Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology, 2012

Learning to Parse Natural Language Commands to a Robot Control System.
Proceedings of the Experimental Robotics, 2012

Unsupervised Feature Learning for RGB-D Based Object Recognition.
Proceedings of the Experimental Robotics, 2012

Detection-based object labeling in 3D scenes.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Exploiting segmentation for robust 3D object matching.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Interactive singulation of objects from a pile.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012

A Joint Model of Language and Perception for Grounded Attribute Learning.
Proceedings of the 29th International Conference on Machine Learning, 2012

Fine-grained kitchen activity recognition using RGB-D.
Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012

RGB-(D) scene labeling: Features and algorithms.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Probabilistic State Estimation Techniques for Autonomous and Decision Support Systems.
Inform. Spektrum, 2011

Manipulator and object tracking for in-hand 3D object modeling.
Int. J. Robotics Res., 2011

Classification and Semantic Mapping of Urban Environments.
Int. J. Robotics Res., 2011

Learning GP-BayesFilters via Gaussian process latent variable models.
Auton. Robots, 2011

Learning to Control a Low-Cost Manipulator using Data-Efficient Reinforcement Learning.
Proceedings of the Robotics: Science and Systems VII, 2011

Hierarchical Matching Pursuit for Image Classification: Architecture and Fast Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Visual Odometry and Mapping for Autonomous Flight Using an RGB-D Camera.
Proceedings of the Robotics Research, 2011

RGB-D object discovery via multi-scene analysis.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Depth kernel descriptors for object recognition.
Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Gambit: An autonomous chess-playing robotic system.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Sparse distance learning for object recognition combining RGB and depth information.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

A large-scale hierarchical multi-view RGB-D object dataset.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Autonomous generation of complete 3D object models using next best view manipulation planning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Toward object discovery and modeling via 3-D scene comparison.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Interactive 3D modeling of indoor environments with a consumer depth camera.
Proceedings of the UbiComp 2011: Ubiquitous Computing, 13th International Conference, 2011

Object recognition with hierarchical kernel descriptors.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

HeatWave: thermal imaging for surface user interaction.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

A Scalable Tree-Based Approach for Joint Object and Pose Recognition.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation.
Int. J. Robotics Res., 2010

Kernel Descriptors for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

RGB-D Mapping: Using Depth Cameras for Dense 3D Modeling of Indoor Environments.
Proceedings of the Experimental Robotics, 2010

Learning to navigate through crowded environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Following directions using statistical machine translation.
Proceedings of the 5th ACM/IEEE International Conference on Human Robot Interaction, 2010

2009
GP-BayesFilters: Bayesian filtering using Gaussian process prediction and observation models.
Auton. Robots, 2009

3D laser scan classification using web data and domain adaptation.
Proceedings of the Robotics: Science and Systems V, University of Washington, Seattle, USA, June 28, 2009

Anatomically correct testbed hand control: Muscle and joint control strategies.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

COSINE - A corpus of multi-party COnversational Speech In Noisy Environments.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Distributed multirobot exploration, mapping, and task allocation.
Ann. Math. Artif. Intell., 2008

Laser and Vision Based Outdoor Object Mapping.
Proceedings of the Robotics: Science and Systems IV, 2008

Learning to Associate Image Features with CRF-Matching.
Proceedings of the Experimental Robotics, The Eleventh International Symposium, 2008

2007
Extracting Places and Activities from GPS Traces Using Hierarchical Conditional Random Fields.
Int. J. Robotics Res., 2007

Learning and inferring transportation routines.
Artif. Intell., 2007

CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching.
Proceedings of the Robotics: Science and Systems III, 2007

Location-Based Activity Recognition.
Proceedings of the KI 2007: Advances in Artificial Intelligence, 2007

A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition.
Proceedings of the Robotics Research - The 13th International Symposium, 2007

GP-UKF: Unscented kalman filters with Gaussian process prediction and observationmodels.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

A spatio-temporal probabilistic model for multi-sensor object recognition.
Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 29, 2007

Efficient Failure Detection on Mobile Robots Using Particle Filters with Gaussian Process Proposals.
Proceedings of the IJCAI 2007, 2007

Training Conditional Random Fields Using Virtual Evidence Boosting.
Proceedings of the IJCAI 2007, 2007

Voronoi Random Fields: Extracting Topological Structure of Indoor Environments via Place Labeling.
Proceedings of the IJCAI 2007, 2007

WiFi-SLAM Using Gaussian Process Latent Variable Models.
Proceedings of the IJCAI 2007, 2007

CRF-Filters: Discriminative Particle Filters for Sequential State Estimation.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Gaussian Processes and Reinforcement Learning for Identification and Control of an Autonomous Blimp.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006
Distributed Multirobot Exploration and Mapping.
Proc. IEEE, 2006

Recognizing Activities and Spatial Context Using Wearable Sensors.
Proceedings of the UAI '06, 2006

Gaussian Processes for Signal Strength-Based Location Estimation.
Proceedings of the Robotics: Science and Systems II, 2006

Hierarchical Models for Activity Recognition.
Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context from Wearable Sensors.
Proceedings of the Experimental Robotics, 2006

Robust Monte-Carlo Localization Using Adaptive Likelihood Models.
Proceedings of the First European Robotics Symposium 2006, 2006

2005
Location-based activity recognition.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Fine-Grained Activity Recognition by Aggregating Abstract Object Usage.
Proceedings of the Ninth IEEE International Symposium on Wearable Computers (ISWC 2005), 2005

Hierarchical Conditional Random Fields for GPS-Based Activity Recognition.
Proceedings of the Robotics Research: Results of the 12th International Symposium, 2005

Relational Object Maps for Mobile Robots.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Location-Based Activity Recognition using Relational Markov Networks.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Autonomous Terrain Mapping and Classification Using Hidden Markov Models.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

Distributed Multi-Robot Exploration and Mapping.
Proceedings of the Second Canadian Conference on Computer and Robot Vision (CRV 2005), 2005

Large-Scale Localization from Wireless Signal Strength.
Proceedings of the Proceedings, 2005

Probabilistic robotics.
Intelligent robotics and autonomous agents, MIT Press, ISBN: 978-0-262-20162-9, 2005

2004
Real-time particle filters.
Proc. IEEE, 2004

Inferring Activities from Interactions with Objects.
IEEE Pervasive Comput., 2004

Map-Based Multiple Model Tracking of a Moving Object.
Proceedings of the RoboCup 2004: Robot Soccer World Cup VIII, 2004

Bayesian color estimation for adaptive vision-based robot localization.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

Reinforcement learning for sensing strategies.
Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sendai, Japan, September 28, 2004

Mapping and Localization with RFID Technology.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services.
Proceedings of the UbiComp 2004: Ubiquitous Computing: 6th International Conference, 2004

Centibots: Very Large Scale Distributed Robotic Teams.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

Learning and Inferring Transportation Routines.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Bayesian Filtering for Location Estimation.
IEEE Pervasive Comput., 2003

People Tracking with Mobile Robots Using Sample-based Joint Probabilistic Data Association Filters.
Int. J. Robotics Res., 2003

Adapting the Sample Size in Particle Filters Through KLD-Sampling.
Int. J. Robotics Res., 2003

The Revisiting Problem in Mobile Robot Map Building: A Hierarchical Bayesian Approach.
Proceedings of the UAI '03, 2003

A Hierarchical Bayesian Approach to the Revisiting Problem in Mobile Robot Map Building.
Proceedings of the Robotics Research, The Eleventh International Symposium, 2003

Voronoi tracking: location estimation using sparse and noisy sensor data.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

Map merging for distributed robot navigation.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

A practical, decision-theoretic approach to multi-robot mapping and exploration.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

An efficient fastSLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurements.
Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, USA, October 27, 2003

People Tracking with Anonymous and ID-Sensors Using Rao-Blackwellised Particle Filters.
Proceedings of the IJCAI-03, 2003

Adaptive real-time particle filters for robot localization.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Inferring High-Level Behavior from Low-Level Sensors.
Proceedings of the UbiComp 2003: Ubiquitous Computing, 2003

2002
Making Sensor Networks Practical with Robots.
Proceedings of the Pervasive Computing, 2002

An experimental comparison of localization methods continued.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

PlantCare: An Investigation in Practical Ubiquitous Systems.
Proceedings of the UbiComp 2002: Ubiquitous Computing, 4th International Conference, Göteborg, Sweden, September 29, 2002

2001
Integrated Plan-Based Control of Autonomous Robots in Human Environments.
IEEE Intell. Syst., 2001

Robust Monte Carlo localization for mobile robots.
Artif. Intell., 2001

Team Description: UW Huskies-01.
Proceedings of the RoboCup 2001: Robot Soccer World Cup V, 2001

KLD-Sampling: Adaptive Particle Filters.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Tracking Multiple Moving Targets with a Mobile Robot using Particle Filters and Statistical Data Association.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001

Tracking Multiple Moving Objects with a Mobile Robot.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

Particle Filters for Mobile Robot Localization.
Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

2000
Web interfaces for mobile robots in public places.
IEEE Robotics Autom. Mag., 2000

Particle Filters and their Application to Mobile Robot Localization.
Künstliche Intell., 2000

Markov Lokalisierung: Ein probalistisches Verfahren zur Lokalisierung und Navigation mobiler Roboter.
Künstliche Intell., 2000

Probabilistic Algorithms and the Interactive Museum Tour-Guide Robot Minerva.
Int. J. Robotics Res., 2000

A Probabilistic Approach to Collaborative Multi-Robot Localization.
Auton. Robots, 2000

Vision-Based Localization in RoboCup Environments.
Proceedings of the RoboCup 2000: Robot Soccer World Cup IV, 2000

Coordinated deployment of multiple, heterogeneous robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2000

A Real-Time Algorithm for Mobile Robot Mapping With Applications to Multi-Robot and 3D Mapping.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Collaborative Multi-Robot Exploration.
Proceedings of the 2000 IEEE International Conference on Robotics and Automation, 2000

Monte Carlo Localization with Mixture Proposal Distribution.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

Coordination for Multi-Robot Exploration and Mapping.
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, July 30, 2000

1999
Markov Localization for Mobile Robots in Dynamic Environments.
J. Artif. Intell. Res., 1999

Experiences with an Interactive Museum Tour-Guide Robot.
Artif. Intell., 1999

MINERVA: A Tour-Guide Robot that Learns.
Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

Collaborative Multi-robot Localization.
Proceedings of the KI-99: Advances in Artificial Intelligence, 1999

MINERVA: A Second-Generation Museum Tour-Guide Robot.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999

Coastal Navigation: Mobile Robot Navigation with Uncertainty in Dynamic Environments.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999

Monte Carlo Localization for Mobile Robots.
Proceedings of the 1999 IEEE International Conference on Robotics and Automation, 1999

Monte Carlo Hidden Markov Models: Learning Non-Parametric Models of Partially Observable Stochastic Processes.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Sonar-Based Mapping of Large-Scale Mobile Robot Environments using EM.
Proceedings of the Sixteenth International Conference on Machine Learning (ICML 1999), Bled, Slovenia, June 27, 1999

Using the Condensation Algorithm for Robust, Vision-based Mobile Robot Localization.
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999

Monte Carlo Localization: Efficient Position Estimation for Mobile Robots.
Proceedings of the Sixteenth National Conference on Artificial Intelligence and Eleventh Conference on Innovative Applications of Artificial Intelligence, 1999

1998
Active Markov localization for mobile robots.
Robotics Auton. Syst., 1998

Integrating active localization into high-level robot control systems.
Robotics Auton. Syst., 1998

A Probabilistic Approach to Concurrent Mapping and Localization for Mobile Robots.
Mach. Learn., 1998

Verbesserte Brandfrüherkennung im Steinkohlenbergbau durch Vorhersage von CO-Konzentrationen.
Künstliche Intell., 1998

An experimental comparison of localization methods.
Proceedings of the Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, 1998

Integrating global position estimation and position tracking for mobile robots: the dynamic Markov localization approach.
Proceedings of the Proceedings 1998 IEEE/RSJ International Conference on Intelligent Robots and Systems. Innovations in Theory, 1998

Probabilistic Mapping of an Environment by a Mobile Robot.
Proceedings of the IEEE International Conference on Robotics and Automation, 1998

A Hybrid Collision Avoidance Method for Mobile Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 1998

Markov Localization for Reliable Robot Navigation and People Detection.
Proceedings of the Sensor Based Intelligent Robots, International Workshop, Dagstuhl Castle, Germany, September 28, 1998

The Museum Tour-Guide Robot RHINO.
Proceedings of the Autonome Mobile Systeme 1998, 14. Fachgespräch, Karlsruhe, 30. November, 1998

Integrating Topological and Metric Maps for Mobile Robot Navigation: A Statistical Approach.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Position Estimation for Mobile Robots in Dynamic Environments.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

The Interactive Museum Tour-Guide Robot.
Proceedings of the Fifteenth National Conference on Artificial Intelligence and Tenth Innovative Applications of Artificial Intelligence Conference, 1998

Markov localization - a probabilistic framework for mobile robot localization and navigation.
PhD thesis, 1998

1997
The dynamic window approach to collision avoidance.
IEEE Robotics Autom. Mag., 1997

Fast Grid-Based Position TRacking for Mobile Robots.
Proceedings of the KI-97: Advances in Artificial Intelligence, 1997

Active Mobile Robot Localization.
Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997

1996
Controlling synchro-drive robots with the dynamic window approach to collision avoidance.
Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS 1996, 1996

Knowledge-Enhanced CO-monitoring in Coal-Mines.
Proceedings of the Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1996

Logic Programming Tools Applied to Fire Detection in Hard-coal Mines (Poster Abstract).
Proceedings of the Logic Programming, 1996

Estimating the Absolute Position of a Mobile Robot Using Position Probability Grids.
Proceedings of the Thirteenth National Conference on Artificial Intelligence and Eighth Innovative Applications of Artificial Intelligence Conference, 1996

1995
The Mobile Robot RHINO.
AI Mag., 1995


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