David Meger

Rosie Zhao

J. Mach. Learn. Res., 2024

Topological mapping for traversability-aware long-range navigation in off-road terrain.

[BibT_eX]

[DOI]

CoRR, 2024

Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion Models.

[BibT_eX]

[DOI]

Lucas Berry

Axel Brando

CoRR, 2024

Constrained Robotic Navigation on Preferred Terrains Using LLMs and Speech Instruction: Exploiting the Power of Adverbs.

[BibT_eX]

[DOI]

CoRR, 2024

Imitation Learning from Observation through Optimal Transport.

[BibT_eX]

Proceedings of the 1st Reinforcement Learning Conference, 2024

Uncertainty-aware hybrid paradigm of nonlinear MPC and model-based RL for offroad navigation: Exploration of transformers in the predictive model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Learning active tactile perception through belief-space control.

[BibT_eX]

[DOI]

CoRR, 2023

Generalizable Imitation Learning Through Pre-Trained Representations.

[BibT_eX]

[DOI]

Wei-Di Chang

CoRR, 2023

Leveraging World Model Disentanglement in Value-Based Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Zhizun Wang

CoRR, 2023

Escaping the Sample Trap: Fast and Accurate Epistemic Uncertainty Estimation with Pairwise-Distance Estimators.

[BibT_eX]

[DOI]

Lucas Berry

CoRR, 2023

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence.

[BibT_eX]

[DOI]

CoRR, 2023

For SALE: State-Action Representation Learning for Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ANSEL Photobot: A Robot Event Photographer with Semantic Intelligence.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Hypernetworks for Zero-Shot Transfer in Reinforcement Learning.

[BibT_eX]

[DOI]

Charlotte Morissette

François Robert Hogan

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Normalizing Flow Ensembles for Rich Aleatoric and Epistemic Uncertainty Modeling.

[BibT_eX]

[DOI]

Lucas Berry

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

NeurIPS 2022 Competition: Driving SMARTS.

[BibT_eX]

[DOI]

CoRR, 2022

Bayesian Q-learning With Imperfect Expert Demonstrations.

[BibT_eX]

[DOI]

CoRR, 2022

Uncertainty-Driven Active Vision for Implicit Scene Reconstruction.

[BibT_eX]

[DOI]

Adriana Romero-Soriano

CoRR, 2022

IL-flOw: Imitation Learning from Observation using Normalizing Flows.

[BibT_eX]

[DOI]

Wei-Di Chang

CoRR, 2022

Continuous MDP Homomorphisms and Homomorphic Policy Gradient.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Visuotactile-RL: Learning Multimodal Manipulation Policies with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Johanna Hansen

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Distributional Hamilton-Jacobi-Bellman Equations for Continuous-Time Reinforcement Learning.

[BibT_eX]

[DOI]

Harley E. Wiltzer

Marc G. Bellemare

Proceedings of the International Conference on Machine Learning, 2022

Why Should I Trust You, Bellman? The Bellman Error is a Poor Replacement for Value Error.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Adaptive Confidence Calibration.

[BibT_eX]

[DOI]

Jonathan Pearce

Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021

An Autonomous Probing System for Collecting Measurements at Depth from Small Surface Vehicles.

[BibT_eX]

[DOI]

CoRR, 2021

Active 3D Shape Reconstruction from Vision and Touch.

[BibT_eX]

[DOI]

CoRR, 2021

Seeing Through your Skin: Recognizing Objects with a Novel Visuotactile Sensor.

[BibT_eX]

[DOI]

François Robert Hogan

Michael Jenkin

Yogesh A. Girdhar

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Active 3D Shape Reconstruction from Vision and Touch.

[BibT_eX]

[DOI]

Adriana Romero-Soriano

Michal Drozdzal

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Trajectory-Constrained Deep Latent Visual Attention for Improved Local Planning in Presence of Heterogeneous Terrain.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Latent Attention Augmentation for Robust Autonomous Driving Policies.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Multimodal dynamics modeling for off-road autonomous vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Deep Reinforcement Learning Approach to Marginalized Importance Sampling with the Successor Representation.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Assisted Identification of Scenarios Where Network Optimization Algorithms Under-Perform.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2021

Robotic Object Manipulation with Full-Trajectory GAN-Based Imitation Learning.

[BibT_eX]

[DOI]

Haoxu Wang

Proceedings of the 18th Conference on Robots and Vision, 2021

Learning Intuitive Physics with Multimodal Generative Models.

[BibT_eX]

[DOI]

Michael Jenkin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Intervention Design for Effective Sim2Real Transfer.

[BibT_eX]

[DOI]

CoRR, 2020

Vision-Based Goal-Conditioned Policies for Underwater Navigation in the Presence of Obstacles.

[BibT_eX]

[DOI]

Travis Manderson

Stefan Wapnick

Florian Shkurti

Proceedings of the Robotics: Science and Systems XVI, 2020

3D Shape Reconstruction from Vision and Touch.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

An Equivalence between Loss Functions and Non-Uniform Sampling in Experience Replay.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PresSense: Passive Respiration Sensing via Ambient WiFi Signals in Noisy Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning the Latent Space of Robot Dynamics for Cutting Interaction Inference.

[BibT_eX]

[DOI]

Inna Sharf

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning Domain Randomization Distributions for Training Robust Locomotion Policies.

[BibT_eX]

[DOI]

Melissa Mozifian

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning to Drive Off Road on Smooth Terrain in Unstructured Environments Using an On-Board Camera and Sparse Aerial Images.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

View-Invariant Loop Closure with Oriented Semantic Landmarks.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Urban Night Scenery Reconstruction by Day-night Registration and Synthesis.

[BibT_eX]

[DOI]

Andi Dai

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Depth Prediction for Monocular Direct Visual Odometry.

[BibT_eX]

[DOI]

Proceedings of the 17th Conference on Computer and Robot Vision, 2020

Dynamic planning of redundant robots within a set-based task-priority inverse kinematics framework.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020

2019

Detecting GAN generated errors.

[BibT_eX]

[DOI]

CoRR, 2019

Unifying Variational Inference and PAC-Bayes for Supervised Learning that Scales.

[BibT_eX]

[DOI]

CoRR, 2019

Deep learning for Aerosol Forecasting.

[BibT_eX]

[DOI]

Caleb Hoyne

S. Karthik Mukkavilli

CoRR, 2019

Learning Domain Randomization Distributions for Transfer of Locomotion Policies.

[BibT_eX]

[DOI]

Melissa Mozifian

CoRR, 2019

Cascaded Gaussian Processes for Data-efficient Robot Dynamics Learning.

[BibT_eX]

[DOI]

Inna Sharf

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Uncertainty Aware Learning from Demonstrations in Multiple Contexts using Bayesian Neural Networks.

[BibT_eX]

[DOI]

Sanjay Thakur

Herke van Hoof

Proceedings of the International Conference on Robotics and Automation, 2019

Semantic Mapping for View-Invariant Relocalization.

[BibT_eX]

[DOI]

Jimmy Li

Proceedings of the International Conference on Robotics and Automation, 2019

GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Off-Policy Deep Reinforcement Learning without Exploration.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Human Motion Prediction Via Pattern Completion in Latent Representation Space.

[BibT_eX]

[DOI]

Yi Tian Xu

Yaqiao Li

Proceedings of the 16th Conference on Computer and Robot Vision, 2019

2018

Resolving Occlusion in Active Visual Target Search of High-Dimensional Robotic Systems.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2018

3D Object Super-Resolution.

[BibT_eX]

[DOI]

Edward J. Smith

CoRR, 2018

Multi-View Silhouette and Depth Decomposition for High Resolution 3D Object Representation.

[BibT_eX]

[DOI]

Edward J. Smith

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Navigation in the Service of Enhanced Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Synthesizing Neural Network Controllers with Probabilistic Model-Based Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Cost Adaptation for Robust Decentralized Swarm Behaviour.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Eager and Memory-Based Non-Parametric Stochastic Search Methods for Learning Control.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Addressing Function Approximation Error in Actor-Critic Methods.

[BibT_eX]

[DOI]

Herke van Hoof

Proceedings of the 35th International Conference on Machine Learning, 2018

Semantic Scene Models for Visual Localization under Large Viewpoint Changes.

[BibT_eX]

[DOI]

Proceedings of the 15th Conference on Computer and Robot Vision, 2018

Deep Reinforcement Learning That Matters.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

OptionGAN: Learning Joint Reward-Policy Options Using Generative Adversarial Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Robotic Coral Reef Health Assessment Using Automated Image Analysis.

[BibT_eX]

[DOI]

J. Field Robotics, 2017

Bayesian Policy Gradients via Alpha Divergence Dropout Inference.

[BibT_eX]

[DOI]

CoRR, 2017

Benchmark Environments for Multitask Learning in Continuous Domains.

[BibT_eX]

[DOI]

CoRR, 2017

Context-coherent scenes of objects for camera pose estimation.

[BibT_eX]

[DOI]

Jimmy Li

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Adapting learned robotics behaviours through policy adjustment.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Improved Adversarial Systems for 3D Object Generation and Reconstruction.

[BibT_eX]

[DOI]

Edward J. Smith

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Learning to generalize 3D spatial relationships.

[BibT_eX]

[DOI]

Jimmy Li

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Learning legged swimming gaits from experience.

[BibT_eX]

[DOI]

Anqi Xu

Philippe Giguère

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

Towards Autonomous Robotic Coral Reef Health Assessment.

[BibT_eX]

[DOI]

Proceedings of the Field and Service Robotics, 2015

2014

3D trajectory synthesis and control for a legged swimming robot.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

Trajectory Inference Using a Motion Sensing Network.

[BibT_eX]

[DOI]

Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2013

Overcoming unknown occlusions in eye-in-hand visual search.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

2012

The UBC Visual Robot Survey: A Benchmark for Robot Category Recognition.

[BibT_eX]

[DOI]

James J. Little

Proceedings of the Experimental Robotics, 2012

Fine-Grained Categorization for 3D Scene Understanding.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2012

Overcoming occlusions in eye-in-hand visual search.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2012

2011

Mobile 3D object detection in clutter.

[BibT_eX]

[DOI]

James J. Little

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

Explicit Occlusion Reasoning for 3D Object Detection.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2011

2010

Viewpoint detection models for sequential embodied object category recognition.

[BibT_eX]

[DOI]

Ankur Gupta

James J. Little

Proceedings of the IEEE International Conference on Robotics and Automation, 2010

Curious George: An Integrated Visual Search Platform.

[BibT_eX]

[DOI]

Proceedings of the Canadian Conference on Computer and Robot Vision, 2010

Multiple Viewpoint Recognition and Localization.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Semantic Robot Vision Challenge: Current State and Future Directions

[BibT_eX]

[DOI]

CoRR, 2009

Inferring a probability distribution function for the pose of a sensor network using a mobile robot.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

Automated Spatial-Semantic Modeling with Applications to Place Labeling and Informed Search.

[BibT_eX]

[DOI]

Proceedings of the Sixth Canadian Conference on Computer and Robot Vision, 2009

2008

Curious George: An attentive semantic robot.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2008

Heuristic search planning to reduce exploration uncertainty.

[BibT_eX]

[DOI]

Ioannis M. Rekleitis

Proceedings of the 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2008

Informed visual search: Combining attention and object recognition.

[BibT_eX]

[DOI]

Proceedings of the 2008 IEEE International Conference on Robotics and Automation, 2008

2007

Hybrid Inference for Sensor Network Localization Using a Mobile Robot.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

The UBC Semantic Robot Vision System.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006

Simultaneous planning, localization, and mapping in a camera sensor network.

[BibT_eX]

[DOI]

Ioannis M. Rekleitis