2025
Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation.
IEEE Access, 2025
2024
Stein Variational Belief Propagation for Multi-Robot Coordination.
IEEE Robotics Autom. Lett., May, 2024
Learning to Simulate Tree-Branch Dynamics for Manipulation.
IEEE Robotics Autom. Lett., February, 2024
Grasping by parallel shape matching.
CoRR, 2024
Aim My Robot: Precision Local Navigation to Any Object.
CoRR, 2024
Differentiable GPU-Parallelized Task and Motion Planning.
CoRR, 2024
Open-World Task and Motion Planning via Vision-Language Model Inferred Constraints.
CoRR, 2024
Ergodic Trajectory Optimization on Generalized Domains Using Maximum Mean Discrepancy.
CoRR, 2024
FORGE: Force-Guided Exploration for Robust Contact-Rich Manipulation under Uncertainty.
CoRR, 2024
Stein Random Feature Regression.
CoRR, 2024
Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex Environments.
CoRR, 2024
AutoMate: Specialist and Generalist Assembly Policies over Diverse Geometries.
Proceedings of the Robotics: Science and Systems XX, 2024
Stein Variational Ergodic Search.
Proceedings of the Robotics: Science and Systems XX, 2024
Signatures meet dynamic programming: Generalizing Bellman equations for trajectory following.
Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024
Stein Movement Primitives for Adaptive Multi-Modal Trajectory Generation.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Neural Kinodynamic Planning: Learning for KinoDynamic Tree Expansion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
Fast Fourier Bayesian Quadrature.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024
2023
DiSECt: a differentiable simulator for parameter inference and control in robotic cutting.
Auton. Robots, June, 2023
CuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation.
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CoRR, 2023
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent.
CoRR, 2023
Path Signatures for Diversity in Probabilistic Trajectory Optimisation.
CoRR, 2023
IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality.
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Global and Reactive Motion Generation with Geometric Fabric Command Sequences.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
CuRobo: Parallelized Collision-Free Robot Motion Generation.
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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
Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference.
Proceedings of the Conference on Robot Learning, 2023
2022
Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation.
IEEE Robotics Autom. Lett., 2022
Stein ICP for Uncertainty Estimation in Point Cloud Matching.
IEEE Robotics Autom. Lett., 2022
Adaptively Exploits Local Structure With Generalised Multi-Trees Motion Planning.
IEEE Robotics Autom. Lett., 2022
A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation.
IEEE Robotics Autom. Lett., 2022
Bayesian iterative closest point for mobile robot localization.
Int. J. Robotics Res., 2022
Robot Learning From Randomized Simulations: A Review.
Frontiers Robotics AI, 2022
L4KDE: Learning for KinoDynamic Tree Expansion.
CoRR, 2022
Generalized Bayesian quadrature with spectral kernels.
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Batch Bayesian optimisation via density-ratio estimation with guarantees.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Diffeomorphic Transforms for Generalised Imitation Learning.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Adaptive Model Predictive Control by Learning Classifiers.
Proceedings of the Learning for Dynamics and Control Conference, 2022
Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks.
Proceedings of the International Conference on Machine Learning, 2022
Accelerated Policy Learning with Parallel Differentiable Simulation.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming.
Proceedings of the Conference on Robot Learning, 2022
2021
Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control.
IEEE Robotics Autom. Lett., 2021
Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph.
CoRR, 2021
BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with IsaacGym.
CoRR, 2021
Learning ODEs via Diffeomorphisms for Fast and Robust Integration.
CoRR, 2021
Fast Joint Space Model-Predictive Control for Reactive Manipulation.
CoRR, 2021
No-regret approximate inference via Bayesian optimisation.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 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
Dual Online Stein Variational Inference for Control and Dynamics.
Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021
Probabilistic Trajectory Prediction with Structural Constraints.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Trajectory Generation in New Environments from Past Experiences.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
PlannerFlows: Learning Motion Samplers with Normalising Flows.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Fast Uncertainty Quantification for Deep Object Pose Estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
BORE: Bayesian Optimization by Density-Ratio Estimation.
Proceedings of the 38th International Conference on Machine Learning, 2021
Parallelised Diffeomorphic Sampling-based Motion Planning.
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
Bayesian Local Sampling-Based Planning.
IEEE Robotics Autom. Lett., 2020
A User's Guide to Calibrating Robotics Simulators.
CoRR, 2020
Learning to Plan Optimally with Flow-based Motion Planner.
CoRR, 2020
Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion.
CoRR, 2020
Intrinsic Exploration as Multi-Objective RL.
CoRR, 2020
Reinforcement Learning with Probabilistically Complete Exploration.
CoRR, 2020
Active Learning of Conditional Mean Embeddings via Bayesian Optimisation.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Online Domain Adaptation for Occupancy Mapping.
Proceedings of the Robotics: Science and Systems XVI, 2020
Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning.
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
Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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
Estimating Motion Uncertainty with Bayesian ICP.
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
DISCO: Double Likelihood-free Inference Stochastic Control.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 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
Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks.
IEEE Robotics Autom. Lett., 2019
Learning to Plan Hierarchically From Curriculum.
IEEE Robotics Autom. Lett., 2019
Models that learn how humans learn: The case of decision-making and its disorders.
PLoS Comput. Biol., 2019
Variational Hilbert regression for terrain modeling and trajectory optimization.
Int. J. Robotics Res., 2019
Occupancy map building through Bayesian exploration.
Int. J. Robotics Res., 2019
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment.
CoRR, 2019
Bayesian Curiosity for Efficient Exploration in Reinforcement Learning.
CoRR, 2019
IRIS: Implicit Reinforcement without Interaction at Scale for Learning Control from Offline Robot Manipulation Data.
CoRR, 2019
OCTNet: Trajectory Generation in New Environments from Past Experiences.
CoRR, 2019
Local Sampling-based Planning with Sequential Bayesian Updates.
CoRR, 2019
Occ-Traj120: Occupancy Maps with Associated Trajectories.
CoRR, 2019
BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators.
CoRR, 2019
UAV route planning for active disease classification.
Auton. Robots, 2019
Periodic Kernel Approximation by Index Set Fourier Series Features.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators.
Proceedings of the Robotics: Science and Systems XV, 2019
Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps.
Proceedings of the International Conference on Robotics and Automation, 2019
Speeding Up Iterative Closest Point Using Stochastic Gradient Descent.
Proceedings of the International Conference on Robotics and Automation, 2019
Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees.
Proceedings of the International Conference on Robotics and Automation, 2019
Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments.
Proceedings of the International Conference on Robotics and Automation, 2019
Fast Stochastic Functional Path Planning in Occupancy Maps.
Proceedings of the International Conference on Robotics and Automation, 2019
Bayesian Deconditional Kernel Mean Embeddings.
Proceedings of the 36th International Conference on Machine Learning, 2019
Analysis of nematodes in coffee crops at different altitudes using aerial images.
Proceedings of the 27th European Signal Processing Conference, 2019
Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Black Box Quantiles for Kernel Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Bayesian optimisation under uncertain inputs.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Monte Carlo Localization on Gaussian Process Occupancy Maps for Urban Environments.
IEEE Trans. Intell. Transp. Syst., 2018
Learning to reconstruct 3D structures for occupancy mapping from depth and color information.
Int. J. Robotics Res., 2018
Towards real-time 3D continuous occupancy mapping using Hilbert maps.
Int. J. Robotics Res., 2018
Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds.
CoRR, 2018
Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference.
CoRR, 2018
Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels.
CoRR, 2018
Adaptive Sensing for Learning Nonstationary Environment Models.
CoRR, 2018
Removing scanner biases using Generative Adversarial Networks.
CoRR, 2018
Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Directional Grid Maps: Modeling Multimodal Angular Uncertainty in Dynamic Environments.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Continuous State-Action-Observation POMDPs for Trajectory Planning with Bayesian Optimisation.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Improving Reinforcement Learning Pre-Training with Variational Dropout.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018
Learning to Race Through Coordinate Descent Bayesian Optimisation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Egocentric Activity Recognition on a Budget.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Bayesian RL for Goal-Only Rewards.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Unpaired Learning of Dense Visual Depth Estimators for Urban Environments.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Fast 3D Modeling with Approximated Convolutional Kernels.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Building Continuous Occupancy Maps With Moving Robots.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Iterative Continuous Convolution for 3D Template Matching and Global Localization.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
Learning to Navigate by Growing Deep Networks.
CoRR, 2017
Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs.
CoRR, 2017
Stochastic Functional Gradient Path Planning in Occupancy Maps.
CoRR, 2017
Learning to Reconstruct 3D Structures for Occupancy Mapping.
Proceedings of the Robotics: Science and Systems XIII, 2017
Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty.
Proceedings of the Robotics Research, The 18th International Symposium, 2017
Variational Hilbert Regression with Applications to Terrain Modeling.
Proceedings of the Robotics Research, The 18th International Symposium, 2017
Functional Path Optimisation for Exploration in Continuous Occupancy Maps.
Proceedings of the Robotics Research, The 18th International Symposium, 2017
Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017
Learning highly dynamic environments with stochastic variational inference.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Sequential Bayesian optimization as a POMDP for environment monitoring with UAVs.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Stochastic functional gradient for motion planning in continuous occupancy maps.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Online learning for scene segmentation with laser-constrained CRFs.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017
Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017
Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping.
Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017
Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017
2016
Expected similarity estimation for large-scale batch and streaming anomaly detection.
Mach. Learn., 2016
Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent.
Int. J. Robotics Res., 2016
Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Model Predictive Control of a Heavy-Duty Truck Based on Gaussian Process.
Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016
Particle Filter Localization on Continuous Occupancy Maps.
Proceedings of the International Symposium on Experimental Robotics, 2016
Large-scale 3D scene reconstruction with Hilbert Maps.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Urban scene segmentation with laser-constrained CRFs.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016
Road junction detection from 3D point clouds.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Route planning for active classification with UAVs.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
From grids to continuous occupancy maps through area kernels.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Alextrac: Affinity learning by exploring temporal reinforcement within association chains.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016
Simple online and realtime tracking.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Online Adaptation of Deep Architectures with Reinforcement Learning.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016
Kernel Embeddings of Longitudinal Data.
Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016
Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016
2015
Online self-supervised learning for dynamic object segmentation.
Int. J. Robotics Res., 2015
Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015
Non-parametric consistency test for multiple-sensing-modality data fusion.
Proceedings of the 18th International Conference on Information Fusion, 2015
A Nonparametric Online Model for Air Quality Prediction.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
Variational Inference for Nonparametric Bayesian Quantile Regression.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
2014
Integer Programming Relaxations for Integrated Clustering and Outlier Detection.
CoRR, 2014
Sequential Bayesian Optimisation for Spatial-Temporal Monitoring.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Multi-scale Conditional Random Fields for first-person activity recognition.
Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014
On Integrated Clustering and Outlier Detection.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Gaussian Process Occupancy Maps for Dynamic Environments.
Proceedings of the Experimental Robotics, 2014
Bayesian optimisation for active perception and smooth navigation.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Bayesian Optimisation for informative continuous path planning.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Online self-supervised multi-instance segmentation of dynamic objects.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014
Dense motion segmentation for first-person activity recognition.
Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014
Robust multiple-sensing-modality data fusion using Gaussian Process Implicit Surfaces.
Proceedings of the 17th International Conference on Information Fusion, 2014
Transductive Learning for Multi-Task Copula Processes.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014
2013
Unsupervised online learning for long-term autonomy.
Int. J. Robotics Res., 2013
Semi-parametric learning for visual odometry.
Int. J. Robotics Res., 2013
Bayesian Fusion for Multi-Modal Aerial Images.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013
Multi-sensor clustering using Layered Affinity Propagation.
Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013
Bayesian Joint Inversions for the Exploration of Earth Resources.
Proceedings of the IJCAI 2013, 2013
Multi-modal estimation with kernel embeddings for learning motion models.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Online self-supervised segmentation of dynamic objects.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013
Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces.
Proceedings of the Field and Service Robotics, 2013
2012
Inferring laser-scan matching uncertainty with conditional random fields.
Robotics Auton. Syst., 2012
A Bayesian approach for place recognition.
Robotics Auton. Syst., 2012
Gaussian process occupancy maps.
Int. J. Robotics Res., 2012
Real-Time Clustering for Long-Term Autonomy.
Proceedings of the Experimental Robotics, 2012
Bayesian optimisation for Intelligent Environmental Monitoring.
Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012
Automatic rock recognition from drilling performance data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Unsupervised incremental learning for long-term autonomy.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Semi-parametric models for visual odometry.
Proceedings of the IEEE International Conference on Robotics and Automation, 2012
Activity recognition from a wearable camera.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
Unsupervised clustering of people from 'skeleton' data.
Proceedings of the International Conference on Human-Robot Interaction, 2012
Detecting stumbles with a single accelerometer.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012
Learning Non-Stationary Space-Time Models for Environmental Monitoring.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
2011
Learning to close loops from range data.
Int. J. Robotics Res., 2011
Classification and Semantic Mapping of Urban Environments.
Int. J. Robotics Res., 2011
Distributed Anytime MAP Inference.
Proceedings of the UAI 2011, 2011
A single-dependent agent approach for stochastic time-dependent truck dispatching in open-pit mining.
Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011
Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining.
Proceedings of the IJCAI 2011, 2011
Multi-Kernel Gaussian Processes.
Proceedings of the IJCAI 2011, 2011
Multi-task learning of system dynamics with maximum information gain.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
An adaptive data driven model for characterizing rock properties from Drilling data.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Multi-class classification of vegetation in natural environments using an Unmanned Aerial system.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Learning navigational maps by observing human motion patterns.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
Visual odometry learning for unmanned aerial vehicles.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011
A comparison of unsupervised learning algorithms for gesture clustering.
Proceedings of the 6th International Conference on Human Robot Interaction, 2011
Continuous Occupancy Mapping with Integral Kernels.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
IEEE Robotics Autom. Mag., 2010
Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic.
IEEE Geosci. Remote. Sens. Lett., 2010
Airborne vision-based mapping and classification of large farmland environments.
J. Field Robotics, 2010
Multi-task Learning of Visual Odometry Estimators.
Proceedings of the Experimental Robotics, 2010
Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications.
Proceedings of the Experimental Robotics, 2010
Large-scale terrain modeling from multiple sensors with dependent Gaussian processes.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Robust place recognition with stereo cameras.
Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010
Automated rock recognition with wavelet feature space projection and Gaussian Process classification.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
An integrated probabilistic model for scan-matching, moving object detection and motion estimation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Inferring motion uncertainty from shape-Matching.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Modeling and decision making in spatio-temporal processes for environmental surveillance.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Contextual occupancy maps incorporating sensor and location uncertainty.
Proceedings of the IEEE International Conference on Robotics and Automation, 2010
Improving Kernel Methods through Complex Data Mapping.
Proceedings of the ICDM 2010, 2010
2009
Gaussian process modeling of large-scale terrain.
J. Field Robotics, 2009
Robotics: Science and Systems IV.
AI Mag., 2009
Motion clustering and estimation with conditional random fields.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009
A Sparse Covariance Function for Exact Gaussian Process Inference in Large Datasets.
Proceedings of the IJCAI 2009, 2009
Gaussian Process modeling of large scale terrain.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
Contextual occupancy maps using Gaussian processes.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
Learning to detect loop closure from range data.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009
Conditional Random Fields for Rock Characterization Using Drill Measurements.
Proceedings of the International Conference on Machine Learning and Applications, 2009
Efficient Large Scale SLAM Including Data Association using the Combined Filter.
Proceedings of the 4th European Conference on Mobile Robots, 2009
2008
Recognising, Representing and Mapping Natural Features in Unstructured Environments.
PhD thesis, 2008
A Natural Feature Representation for Unstructured Environments.
IEEE Trans. Robotics, 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
Denoising aerial gamma-ray surveying through non-linear dimensionality reduction.
J. Field Robotics, 2007
Shared environment representation for a human-robot team performing information fusion.
J. Field Robotics, 2007
CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching.
Proceedings of the Robotics: Science and Systems III, 2007
A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition.
Proceedings of the Robotics Research - The 13th International Symposium, 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
Recognising and Modelling Landmarks to Close Loops in Outdoor SLAM.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007
2006
Multi-level State Estimation in an Outdoor Decentralised Sensor Network.
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Proceedings of the Experimental Robotics, 2006
Combining Object Recognition and SLAM for Extended Map Representations.
Proceedings of the Experimental Robotics, 2006
Recognising and Segmenting Objects in Natural Environments.
Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006
A Novel Visual Perception Framework.
Proceedings of the Ninth International Conference on Control, 2006
Probabilistic Classification of Hyperspectral Images by Learning Nonlinear Dimensionality Reduction Mapping.
Proceedings of the 9th International Conference on Information Fusion, 2006
Non-Gaussian State Estimation in an Outdoor Decentralised Sensor Network.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2005
Anytime anyspace probabilistic inference.
Int. J. Approx. Reason., 2005
A statistical framework for natural feature representation.
Proceedings of the 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2005
Applying Structural EM in Autonomous Planetary Exploration Missions using Hyperspectral Image Spectroscopy.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005
2004
Generating Random Bayesian Networks with Constraints on Induced Width.
Proceedings of the 16th Eureopean Conference on Artificial Intelligence, 2004