Fabio Ramos

Lidia Gianne Souza da Rocha

IEEE Robotics Autom. Lett., February, 2024

Dynamic Q-planning for Online UAV Path Planning in Unknown and Complex Environments.

[BibT_eX]

[DOI]

Kenny Anderson Queiroz Caldas

Marco Henrique Terra

CoRR, 2024

2023

DiSECt: a differentiable simulator for parameter inference and control in robotic cutting.

[BibT_eX]

[DOI]

Auton. Robots, June, 2023

Signatures Meet Dynamic Programming: Generalizing Bellman Equations for Trajectory Following.

[BibT_eX]

[DOI]

CoRR, 2023

Stein Variational Belief Propagation for Multi-Robot Coordination.

[BibT_eX]

[DOI]

Jana Pavlasek

Joshua Jing Zhi Mah

Ruihan Xu

Odest Chadwicke Jenkins

CoRR, 2023

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

[BibT_eX]

[DOI]

Krishna Murthy Jatavallabhula

Siva Kumar Sastry Hari

CoRR, 2023

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent.

[BibT_eX]

[DOI]

Yewon Lee

Philip Huang

CoRR, 2023

Path Signatures for Diversity in Probabilistic Trajectory Optimisation.

[BibT_eX]

[DOI]

CoRR, 2023

IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to Reality.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Global and Reactive Motion Generation with Geometric Fabric Command Sequences.

[BibT_eX]

[DOI]

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

CuRobo: Parallelized Collision-Free Robot Motion Generation.

[BibT_eX]

[DOI]

Siva Kumar Sastry Hari

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

DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets.

[BibT_eX]

[DOI]

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

Ready, Set, Plan! Planning to Goal Sets Using Generalized Bayesian Inference.

[BibT_eX]

[DOI]

Jana Pavlasek

Stanley Robert Lewis

Tucker Hermans

Proceedings of the Conference on Robot Learning, 2023

2022

Stein Particle Filter for Nonlinear, Non-Gaussian State Estimation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Stein ICP for Uncertainty Estimation in Point Cloud Matching.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Adaptively Exploits Local Structure With Generalised Multi-Trees Motion Planning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

A Bayesian Treatment of Real-to-Sim for Deformable Object Manipulation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Bayesian iterative closest point for mobile robot localization.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2022

Robot Learning From Randomized Simulations: A Review.

[BibT_eX]

[DOI]

Frontiers Robotics AI, 2022

L4KDE: Learning for KinoDynamic Tree Expansion.

[BibT_eX]

[DOI]

CoRR, 2022

Generalized Bayesian quadrature with spectral kernels.

[BibT_eX]

[DOI]

Houston Warren

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Batch Bayesian optimisation via density-ratio estimation with guarantees.

[BibT_eX]

[DOI]

Louis C. Tiao

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.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2022

Adaptive Model Predictive Control by Learning Classifiers.

[BibT_eX]

[DOI]

Rel Guzman Apaza

Proceedings of the Learning for Dynamics and Control Conference, 2022

Renaissance Robot: Optimal Transport Policy Fusion for Learning Diverse Skills.

[BibT_eX]

[DOI]

Julia Tan

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

LTR*: Rapid Replanning in Executing Consecutive Tasks with Lazy Experience Graph.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation.

[BibT_eX]

[DOI]

Eric Heiden

Christopher E. Denniston

David Millard

Gaurav S. Sukhatme

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

Bayesian Optimisation for Robust Model Predictive Control under Model Parameter Uncertainty.

[BibT_eX]

[DOI]

Rel Guzman Apaza

Krishna Murthy Jatavallabhula

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

Learning Efficient and Robust Ordinary Differential Equations via Invertible Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Accelerated Policy Learning with Parallel Differentiable Simulation.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Bayesian Object Models for Robotic Interaction with Differentiable Probabilistic Programming.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

2021

Heteroscedastic Bayesian Optimisation for Stochastic Model Predictive Control.

[BibT_eX]

[DOI]

Rel Guzman Apaza

IEEE Robotics Autom. Lett., 2021

Rapid Replanning in Consecutive Pick-and-Place Tasks with Lazy Experience Graph.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Learning ODEs via Diffeomorphisms for Fast and Robust Integration.

[BibT_eX]

[DOI]

CoRR, 2021

Fast Joint Space Model-Predictive Control for Reactive Manipulation.

[BibT_eX]

[DOI]

Mohak Bhardwaj

CoRR, 2021

No-regret approximate inference via Bayesian optimisation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Dual Online Stein Variational Inference for Control and Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Probabilistic Trajectory Prediction with Structural Constraints.

[BibT_eX]

[DOI]

Weiming Zhi

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

Trajectory Generation in New Environments from Past Experiences.

[BibT_eX]

[DOI]

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

PlannerFlows: Learning Motion Samplers with Normalising Flows.

[BibT_eX]

[DOI]

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

Anticipatory Navigation in Crowds by Probabilistic Prediction of Pedestrian Future Movements.

[BibT_eX]

[DOI]

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

Fast Uncertainty Quantification for Deep Object Pose Estimation.

[BibT_eX]

[DOI]

Animashree Anandkumar

Yuke Zhu

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

BORE: Bayesian Optimization by Density-Ratio Estimation.

[BibT_eX]

[DOI]

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

Parallelised Diffeomorphic Sampling-based Motion Planning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Mohak Bhardwaj

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Bayesian Local Sampling-Based Planning.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2020

A User's Guide to Calibrating Robotics Simulators.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Plan Optimally with Flow-based Motion Planner.

[BibT_eX]

[DOI]

CoRR, 2020

Multi-Objective Bayesian Optimisation and Joint Inversion for Active Sensor Fusion.

[BibT_eX]

[DOI]

Sebastian Haan

Dietmar Müller

CoRR, 2020

Intrinsic Exploration as Multi-Objective RL.

[BibT_eX]

[DOI]

CoRR, 2020

Reinforcement Learning with Probabilistically Complete Exploration.

[BibT_eX]

[DOI]

CoRR, 2020

Active Learning of Conditional Mean Embeddings via Bayesian Optimisation.

[BibT_eX]

[DOI]

Sayak Ray Chowdhury

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Online Domain Adaptation for Occupancy Mapping.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XVI, 2020

Semi-supervised Learning Approach to Generate Neuroimaging Modalities with Adversarial Training.

[BibT_eX]

[DOI]

Harrison Nguyen

Simon Luo

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Online BayesSim for Combined Simulator Parameter Inference and Policy Improvement.

[BibT_eX]

[DOI]

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

Inferring the Material Properties of Granular Media for Robotic Tasks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Estimating Motion Uncertainty with Bayesian ICP.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

DISCO: Double Likelihood-free Inference Stochastic Control.

[BibT_eX]

[DOI]

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

A User's Guide to Calibrating Robotic Simulators.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

STReSSD: Sim-To-Real from Sound for Stochastic Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Stein Variational Model Predictive Control.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Spatiotemporal Learning of Directional Uncertainty in Urban Environments With Kernel Recurrent Mixture Density Networks.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Learning to Plan Hierarchically From Curriculum.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Models that learn how humans learn: The case of decision-making and its disorders.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2019

Variational Hilbert regression for terrain modeling and trajectory optimization.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2019

Occupancy map building through Bayesian exploration.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2019

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environment.

[BibT_eX]

[DOI]

CoRR, 2019

Bayesian Curiosity for Efficient Exploration in Reinforcement Learning.

[BibT_eX]

[DOI]

Tom Blau

CoRR, 2019

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

[BibT_eX]

[DOI]

CoRR, 2019

OCTNet: Trajectory Generation in New Environments from Past Experiences.

[BibT_eX]

[DOI]

CoRR, 2019

Local Sampling-based Planning with Sequential Bayesian Updates.

[BibT_eX]

[DOI]

CoRR, 2019

Occ-Traj120: Occupancy Maps with Associated Trajectories.

[BibT_eX]

[DOI]

Weiming Zhi

CoRR, 2019

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

[BibT_eX]

[DOI]

Rafael Carvalhaes Possas

CoRR, 2019

UAV route planning for active disease classification.

[BibT_eX]

[DOI]

Thiago H. Martinelli

Matheus Della Croce Oliveira

Jefferson R. Souza

Denis F. Wolf

Auton. Robots, 2019

Periodic Kernel Approximation by Index Set Fourier Series Features.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

BayesSim: Adaptive Domain Randomization Via Probabilistic Inference for Robotics Simulators.

[BibT_eX]

[DOI]

Rafael Possas

Proceedings of the Robotics: Science and Systems XV, 2019

Continuous Occupancy Map Fusion with Fast Bayesian Hilbert Maps.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Speeding Up Iterative Closest Point Using Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Balancing Global Exploration and Local-connectivity Exploitation with Rapidly-exploring Random disjointed-Trees.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Dynamic Hilbert Maps: Real-Time Occupancy Predictions in Changing Environments.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Fast Stochastic Functional Path Planning in Occupancy Maps.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Bayesian Deconditional Kernel Mean Embeddings.

[BibT_eX]

[DOI]

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

Analysis of nematodes in coffee crops at different altitudes using aerial images.

[BibT_eX]

[DOI]

Alexandre J. Oliveira

Gleice A. de Assis

Elaine R. Faria

Jefferson R. Souza

Caio César Teodoro Mendes

Denis F. Wolf

Proceedings of the 27th European Signal Processing Conference, 2019

Kernel Trajectory Maps for Multi-Modal Probabilistic Motion Prediction.

[BibT_eX]

[DOI]

Weiming Zhi

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Black Box Quantiles for Kernel Learning.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Bayesian optimisation under uncertain inputs.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Monte Carlo Localization on Gaussian Process Occupancy Maps for Urban Environments.

[BibT_eX]

[DOI]

Alberto Y. Hata

Denis F. Wolf

IEEE Trans. Intell. Transp. Syst., 2018

Learning to reconstruct 3D structures for occupancy mapping from depth and color information.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Towards real-time 3D continuous occupancy mapping using Hilbert maps.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2018

Hyperparameter Learning for Conditional Mean Embeddings with Rademacher Complexity Bounds.

[BibT_eX]

[DOI]

Richard Nock

CoRR, 2018

Cycle-Consistent Adversarial Learning as Approximate Bayesian Inference.

[BibT_eX]

[DOI]

Louis C. Tiao

Edwin V. Bonilla

CoRR, 2018

Index Set Fourier Series Features for Approximating Multi-dimensional Periodic Kernels.

[BibT_eX]

[DOI]

CoRR, 2018

Adaptive Sensing for Learning Nonstationary Environment Models.

[BibT_eX]

[DOI]

Sahil Garg

Amarjeet Singh

CoRR, 2018

Removing scanner biases using Generative Adversarial Networks.

[BibT_eX]

[DOI]

Harrison Nguyen

Richard W. Morris

Anthony W. Harris

Mayuresh S. Korgoankar

CoRR, 2018

Hyperparameter Learning for Conditional Kernel Mean Embeddings with Rademacher Complexity Bounds.

[BibT_eX]

[DOI]

Richard Nock

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Integrated accounts of behavioral and neuroimaging data using flexible recurrent neural network models.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Improving Reinforcement Learning Pre-Training with Variational Dropout.

[BibT_eX]

[DOI]

Tom Blau

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

Learning to Race Through Coordinate Descent Bayesian Optimisation.

[BibT_eX]

[DOI]

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

Egocentric Activity Recognition on a Budget.

[BibT_eX]

[DOI]

Rafael Possas

Sheila M. Pinto-Caceres

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Automorphing Kernels for Nonstationarity in Mapping Unstructured Environments.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Bayesian RL for Goal-Only Rewards.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Unpaired Learning of Dense Visual Depth Estimators for Urban Environments.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Fast 3D Modeling with Approximated Convolutional Kernels.

[BibT_eX]

[DOI]

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

Fourier Feature Approximations for Periodic Kernels in Time-Series Modelling.

[BibT_eX]

[DOI]

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

Building Continuous Occupancy Maps With Moving Robots.

[BibT_eX]

[DOI]

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

Iterative Continuous Convolution for 3D Template Matching and Global Localization.

[BibT_eX]

[DOI]

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

2017

Learning to Navigate by Growing Deep Networks.

[BibT_eX]

[DOI]

Thushan Ganegedara

CoRR, 2017

Sequential Bayesian Optimisation as a POMDP for Environment Monitoring with UAVs.

[BibT_eX]

[DOI]

CoRR, 2017

Stochastic Functional Gradient Path Planning in Occupancy Maps.

[BibT_eX]

[DOI]

CoRR, 2017

Learning to Reconstruct 3D Structures for Occupancy Mapping.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems XIII, 2017

Bayesian Optimisation for Safe Navigation Under Localisation Uncertainty.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Variational Hilbert Regression with Applications to Terrain Modeling.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Functional Path Optimisation for Exploration in Continuous Occupancy Maps.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research, The 18th International Symposium, 2017

Markovian jump linear systems-based filtering for visual and GPS aided inertial navigation system.

[BibT_eX]

[DOI]

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

Learning highly dynamic environments with stochastic variational inference.

[BibT_eX]

[DOI]

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

Sequential Bayesian optimization as a POMDP for environment monitoring with UAVs.

[BibT_eX]

[DOI]

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

Stochastic functional gradient for motion planning in continuous occupancy maps.

[BibT_eX]

[DOI]

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

Online learning for scene segmentation with laser-constrained CRFs.

[BibT_eX]

[DOI]

Charika De Alvis

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

Malicious Software Classification Using Transfer Learning of ResNet-50 Deep Neural Network.

[BibT_eX]

[DOI]

Edmar R. S. De Rezende

Guilherme C. S. Ruppert

Tiago J. Carvalho

Paulo L. de Geus

Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Bayesian Hilbert Maps for Dynamic Continuous Occupancy Mapping.

[BibT_eX]

[DOI]

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

Unsupervised Feature Learning for 3D Scene Reconstruction with Occupancy Maps.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Expected similarity estimation for large-scale batch and streaming anomaly detection.

[BibT_eX]

[DOI]

Markus Schneider

Wolfgang Ertel

Mach. Learn., 2016

Hilbert maps: Scalable continuous occupancy mapping with stochastic gradient descent.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2016

Spatio-Temporal Hilbert Maps for Continuous Occupancy Representation in Dynamic Environments.

[BibT_eX]

[DOI]

Fernando Henrique Morais Da Rocha

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.

[BibT_eX]

[DOI]

Valdir Grassi Jr.

Proceedings of the XIII Latin American Robotics Symposium and IV Brazilian Robotics Symposium, 2016

Particle Filter Localization on Continuous Occupancy Maps.

[BibT_eX]

[DOI]

Alberto Yukinobu Hata

Denis Fernando Wolf

Proceedings of the International Symposium on Experimental Robotics, 2016

Large-scale 3D scene reconstruction with Hilbert Maps.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Urban scene segmentation with laser-constrained CRFs.

[BibT_eX]

[DOI]

Charika De Alvis

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Road junction detection from 3D point clouds.

[BibT_eX]

[DOI]

Danilo Habermann

Carlos E. O. Vido

Fernando Santos Osório

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Route planning for active classification with UAVs.

[BibT_eX]

[DOI]

Matheus Della Croce Oliveira

Thiago H. Martinelli

Denis Fernando Wolf

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

From grids to continuous occupancy maps through area kernels.

[BibT_eX]

[DOI]

Carlos E. O. Vido

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

Alextrac: Affinity learning by exploring temporal reinforcement within association chains.

[BibT_eX]

[DOI]

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

Simple online and realtime tracking.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Online Adaptation of Deep Architectures with Reinforcement Learning.

[BibT_eX]

[DOI]

Thushan Ganegedara

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.

[BibT_eX]

[DOI]

Darren Shen

Proceedings of the AI 2016: Advances in Artificial Intelligence, 2016

Predicting Spatio-Temporal Propagation of Seasonal Influenza Using Variational Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Online self-supervised learning for dynamic object segmentation.

[BibT_eX]

[DOI]

Caio César Teodoro Mendes

Int. J. Robotics Res., 2015

Automatic detection of Ceratocystis wilt in Eucalyptus crops from aerial images.

[BibT_eX]

[DOI]

Jefferson R. Souza

Adimara Colturato

Marcos Paul Gerardo-Castro

Denis Fernando Wolf

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

Non-parametric consistency test for multiple-sensing-modality data fusion.

[BibT_eX]

[DOI]

Thierry Peynot

Robert Fitch

Proceedings of the 18th International Conference on Information Fusion, 2015

A Nonparametric Online Model for Air Quality Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Variational Inference for Nonparametric Bayesian Quantile Regression.

[BibT_eX]

[DOI]

Sachinthaka Abeywardana

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Integer Programming Relaxations for Integrated Clustering and Outlier Detection.

[BibT_eX]

[DOI]

CoRR, 2014

Sequential Bayesian Optimisation for Spatial-Temporal Monitoring.

[BibT_eX]

[DOI]

Scott Sanner

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Multi-scale Conditional Random Fields for first-person activity recognition.

[BibT_eX]

[DOI]

Kai Zhan

Steven Faux

Proceedings of the IEEE International Conference on Pervasive Computing and Communications, 2014

On Integrated Clustering and Outlier Detection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2014

Bayesian optimisation for active perception and smooth navigation.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Bayesian Optimisation for informative continuous path planning.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Online self-supervised multi-instance segmentation of dynamic objects.

[BibT_eX]

[DOI]

Alex Bewley

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Dense motion segmentation for first-person activity recognition.

[BibT_eX]

[DOI]

Kai Zhan

Marcos Paul Gerardo-Castro

Proceedings of the 13th International Conference on Control Automation Robotics & Vision, 2014

Robust multiple-sensing-modality data fusion using Gaussian Process Implicit Surfaces.

[BibT_eX]

[DOI]

Thierry Peynot

Robert Fitch

Proceedings of the 17th International Conference on Information Fusion, 2014

Transductive Learning for Multi-Task Copula Processes.

[BibT_eX]

[DOI]

Markus Schneider

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.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2013

Semi-parametric learning for visual odometry.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2013

Bayesian Fusion for Multi-Modal Aerial Images.

[BibT_eX]

[DOI]

Alistair Reid

Salah Sukkarieh

Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

Multi-sensor clustering using Layered Affinity Propagation.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013

Bayesian Joint Inversions for the Exploration of Earth Resources.

[BibT_eX]

[DOI]

Alistair Reid

Proceedings of the IJCAI 2013, 2013

Multi-modal estimation with kernel embeddings for learning motion models.

[BibT_eX]

[DOI]

Lachlan McCalman

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

Online self-supervised segmentation of dynamic objects.

[BibT_eX]

[DOI]

Marcos Paul Gerardo-Castro

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

Laser-Radar Data Fusion with Gaussian Process Implicit Surfaces.

[BibT_eX]

[DOI]

Thierry Peynot

Proceedings of the Field and Service Robotics, 2013

2012

Inferring laser-scan matching uncertainty with conditional random fields.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2012

A Bayesian approach for place recognition.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2012

Gaussian process occupancy maps.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2012

Real-Time Clustering for Long-Term Autonomy.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2012

Bayesian optimisation for Intelligent Environmental Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2012

Automatic rock recognition from drilling performance data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Unsupervised incremental learning for long-term autonomy.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Semi-parametric models for visual odometry.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2012

Activity recognition from a wearable camera.

[BibT_eX]

[DOI]

Kai Zhan

Mohamed Nabil Hajj Chehade

Steven Faux

Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012

Unsupervised clustering of people from 'skeleton' data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Human-Robot Interaction, 2012

Detecting stumbles with a single accelerometer.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Sahil Garg

Amarjeet Singh

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Learning to close loops from range data.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2011

Classification and Semantic Mapping of Urban Environments.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2011

Distributed Anytime MAP Inference.

[BibT_eX]

[DOI]

Joop van de Ven

Proceedings of the UAI 2011, 2011

A single-dependent agent approach for stochastic time-dependent truck dispatching in open-pit mining.

[BibT_eX]

[DOI]

Guilherme Sousa Bastos

Luiz E. Souza

Carlos H. C. Ribeiro

Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems, 2011

Learning 3D Geological Structure from Drill-Rig Sensors for Automated Mining.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

Multi-Kernel Gaussian Processes.

[BibT_eX]

[DOI]

Arman Melkumyan

Jose F. Zubizarreta-Rodriguez

Proceedings of the IJCAI 2011, 2011

Multi-task learning of system dynamics with maximum information gain.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

An adaptive data driven model for characterizing rock properties from Drilling data.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Multi-class classification of vegetation in natural environments using an Unmanned Aerial system.

[BibT_eX]

[DOI]

Alistair Reid

Salah Sukkarieh

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Learning navigational maps by observing human motion patterns.

[BibT_eX]

[DOI]

Surya P. N. Singh

Alen Alempijevic

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

Visual odometry learning for unmanned aerial vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2011

A comparison of unsupervised learning algorithms for gesture clustering.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Human Robot Interaction, 2011

Continuous Occupancy Mapping with Integral Kernels.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

A Mine on Its Own.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2010

Rock Recognition From MWD Data: A Comparative Study of Boosting, Neural Networks, and Fuzzy Logic.

[BibT_eX]

[DOI]

Ali Kadkhodaie-Ilkhchi

Sildomar T. Monteiro

Peter Hatherly

IEEE Geosci. Remote. Sens. Lett., 2010

Airborne vision-based mapping and classification of large farmland environments.

[BibT_eX]

[DOI]

J. Field Robotics, 2010

Multi-task Learning of Visual Odometry Estimators.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2010

Cost-Effective Mapping Using Unmanned Aerial Vehicles in Ecology Monitoring Applications.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2010

Large-scale terrain modeling from multiple sensors with dependent Gaussian processes.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2010

Robust place recognition with stereo cameras.

[BibT_eX]

[DOI]

Cesar Dario Cadena Lerma

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.

[BibT_eX]

[DOI]

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

An integrated probabilistic model for scan-matching, moving object detection and motion estimation.

[BibT_eX]

[DOI]

Joop van de Ven

Gian Diego Tipaldi

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

Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling.

[BibT_eX]

[DOI]

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

Inferring motion uncertainty from shape-Matching.

[BibT_eX]

[DOI]

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

Modeling and decision making in spatio-temporal processes for environmental surveillance.

[BibT_eX]

[DOI]

Amarjeet Singh

William J. Kaiser

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

Contextual occupancy maps incorporating sensor and location uncertainty.

[BibT_eX]

[DOI]

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

Improving Kernel Methods through Complex Data Mapping.

[BibT_eX]

[DOI]

Hang Zhou

Proceedings of the ICDM 2010, 2010

2009

Gaussian process modeling of large-scale terrain.

[BibT_eX]

[DOI]

J. Field Robotics, 2009

Robotics: Science and Systems IV.

[BibT_eX]

[DOI]

Oliver Brock

Jeff Trinkle

AI Mag., 2009

Motion clustering and estimation with conditional random fields.

[BibT_eX]

[DOI]

Gian Diego Tipaldi

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.

[BibT_eX]

[DOI]

Arman Melkumyan

Proceedings of the IJCAI 2009, 2009

Gaussian Process modeling of large scale terrain.

[BibT_eX]

[DOI]

Allan Blair

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

Contextual occupancy maps using Gaussian processes.

[BibT_eX]

[DOI]

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

Learning to detect loop closure from range data.

[BibT_eX]

[DOI]

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

Conditional Random Fields for Rock Characterization Using Drill Measurements.

[BibT_eX]

[DOI]

Sildomar T. Monteiro

Peter Hatherly

Proceedings of the International Conference on Machine Learning and Applications, 2009

Efficient Large Scale SLAM Including Data Association using the Combined Filter.

[BibT_eX]

Cesar Dario Cadena Lerma

José Neira

Proceedings of the 4th European Conference on Mobile Robots, 2009

2008

Recognising, Representing and Mapping Natural Features in Unstructured Environments.

[BibT_eX]

[DOI]

PhD thesis, 2008

A Natural Feature Representation for Unstructured Environments.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2008

Laser and Vision Based Outdoor Object Mapping.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems IV, 2008

Learning to Associate Image Features with CRF-Matching.

[BibT_eX]

[DOI]

Mohammed Waleed Kadous

Proceedings of the Experimental Robotics, The Eleventh International Symposium, 2008

2007

Denoising aerial gamma-ray surveying through non-linear dimensionality reduction.

[BibT_eX]

[DOI]

Bruce Dickson

J. Field Robotics, 2007

Shared environment representation for a human-robot team performing information fusion.

[BibT_eX]

[DOI]

J. Field Robotics, 2007

CRF-Matching: Conditional Random Fields for Feature-Based Scan Matching.

[BibT_eX]

[DOI]

Proceedings of the Robotics: Science and Systems III, 2007

A Spatio-Temporal Probabilistic Model for Multi-Sensor Multi-Class Object Recognition.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research - The 13th International Symposium, 2007

A spatio-temporal probabilistic model for multi-sensor object recognition.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Juan I. Nieto

Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006

Multi-level State Estimation in an Outdoor Decentralised Sensor Network.

[BibT_eX]

[DOI]

Proceedings of the Experimental Robotics, 2006

Combining Object Recognition and SLAM for Extended Map Representations.

[BibT_eX]

[DOI]

Juan I. Nieto

Proceedings of the Experimental Robotics, 2006

Recognising and Segmenting Objects in Natural Environments.

[BibT_eX]

[DOI]

Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006

A Novel Visual Perception Framework.

[BibT_eX]

[DOI]

Proceedings of the Ninth International Conference on Control, 2006

Probabilistic Classification of Hyperspectral Images by Learning Nonlinear Dimensionality Reduction Mapping.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Information Fusion, 2006

Non-Gaussian State Estimation in an Outdoor Decentralised Sensor Network.

[BibT_eX]

[DOI]

Proceedings of the 45th IEEE Conference on Decision and Control, 2006

2005

Anytime anyspace probabilistic inference.

[BibT_eX]

[DOI]

Fábio Gagliardi Cozman

Int. J. Approx. Reason., 2005

A statistical framework for natural feature representation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

X. Rosalind Wang

Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004

Generating Random Bayesian Networks with Constraints on Induced Width.

[BibT_eX]

Jaime Shinsuke Ide

Fábio Gagliardi Cozman