Renaud Detry

CoRR, 2024

Domain Generalization for In-Orbit 6D Pose Estimation.

[BibT_eX]

[DOI]

CoRR, 2024

Leveraging Neural Radiance Fields for Pose Estimation of an Unknown Space Object during Proximity Operations.

[BibT_eX]

[DOI]

CoRR, 2024

Robot Trajectron: Trajectory Prediction-based Shared Control for Robot Manipulation.

[BibT_eX]

[DOI]

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

2022

Human-Scale Mobile Manipulation Using RoMan.

[BibT_eX]

[DOI]

Field Robotics, March, 2022

Grasping and Transport of Unstructured Collections of Massive Objects.

[BibT_eX]

[DOI]

Joseph Bowkett

Sisir Karumanchi

Field Robotics, March, 2022

Editorial: Robotic In-Situ Servicing, Assembly and Manufacturing.

[BibT_eX]

[DOI]

Craig R. Carignan

Mini Chakravarthini Saaj

Giacomo Marani

Joshua Vander Hook

Frontiers Robotics AI, 2022

End-to-end Neural Estimation of Spacecraft Pose with Intermediate Detection of Keypoints.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Machine Vision based Sample-Tube Localization for Mars Sample Return.

[BibT_eX]

[DOI]

CoRR, 2021

2020

Assistive Relative Pose Estimation for On-orbit Assembly using Convolutional Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Tactile Sensing and Control of Robotic Manipulator Integrating Fiber Bragg Grating Strain-Sensor.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, 2019

Invariant Feature Mappings for Generalizing Affordance Understanding Using Regularized Metric Learning.

[BibT_eX]

[DOI]

CoRR, 2019

2018

Guest Editorial Open Discussion of Robot Grasping Benchmarks, Protocols, and Metrics.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2018

2017

Task-oriented grasping with semantic and geometric scene understanding.

[BibT_eX]

[DOI]

Jeremie Papon

Larry H. Matthies

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

Estimating tactile data for adaptive grasping of novel objects.

[BibT_eX]

[DOI]

Emil Hyttinen

Danica Kragic

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017

2016

One-shot learning and generation of dexterous grasps for novel objects.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2016

Probabilistic consolidation of grasp experience.

[BibT_eX]

[DOI]

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

2015

Cognitive Robotics Systems - Concepts and Applications.

[BibT_eX]

[DOI]

J. Intell. Robotic Syst., 2015

Learning Human Priors for Task-Constrained Grasping.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision Systems - 10th International Conference, 2015

Learning the tactile signatures of prototypical object parts for robust part-based grasping of novel objects.

[BibT_eX]

[DOI]

Emil Hyttinen

Danica Kragic

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

2014

Learning dexterous grasps that generalise to novel objects by combining hand and contact models.

[BibT_eX]

[DOI]

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

Representations for cross-task, cross-object grasp transfer.

[BibT_eX]

[DOI]

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

Modelling Primate Control of Grasping for Robotics Applications.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Unsupervised learning of predictive parts for cross-object grasp transfer.

[BibT_eX]

[DOI]

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

Sparse summarization of robotic grasping data.

[BibT_eX]

[DOI]

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

Learning a dictionary of prototypical grasp-predicting parts from grasping experience.

[BibT_eX]

[DOI]

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

2012

Improving generalization for 3D object categorization with Global Structure Histograms.

[BibT_eX]

[DOI]

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

Generalizing grasps across partly similar objects.

[BibT_eX]

[DOI]

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

2011

Learning grasp affordance densities.

[BibT_eX]

[DOI]

Paladyn J. Behav. Robotics, 2011

Learning visual representations for perception-action systems.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2011

Learning tactile characterizations of object- and pose-specific grasps.

[BibT_eX]

[DOI]

Yasemin Bekiroglu

Danica Kragic

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

What a successful grasp tells about the success chances of grasps in its vicinity.

[BibT_eX]

[DOI]

Proceedings of the 1st International Conference on Development and Learning and on Epigenetic Robotics, 2011

2010

Learning Continuous Grasp Affordances by Sensorimotor Exploration.

[BibT_eX]

[DOI]

Proceedings of the From Motor Learning to Interaction Learning in Robots, 2010

Learning of Multi-Dimensional, Multi-Modal Features for Robotic Grasping.

[BibT_eX]

[DOI]

PhD thesis, 2010

Development of Object and Grasping Knowledge by Robot Exploration.

[BibT_eX]

[DOI]

IEEE Trans. Auton. Ment. Dev., 2010

Combining active learning and reactive control for robot grasping.

[BibT_eX]

[DOI]

Robotics Auton. Syst., 2010

Adapting Preshaped Grasping Movements Using Vision Descriptors.

[BibT_eX]

[DOI]

Proceedings of the From Animals to Animats 11, 2010

Learning probabilistic discriminative models of grasp affordances under limited supervision.

[BibT_eX]

[DOI]

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

Refining grasp affordance models by experience.

[BibT_eX]

[DOI]

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

Grasping with Vision Descriptors and Motor Primitives.

[BibT_eX]

Proceedings of the ICINCO 2010, 2010

Continuous Surface-Point Distributions for 3D Object Pose Estimation and Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

A Probabilistic Framework for 3D Visual Object Representation.

[BibT_eX]

[DOI]

Nicolas Pugeault

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Learning Visual Representations for Interactive Systems.

[BibT_eX]

[DOI]

Proceedings of the Robotics Research - The 14th International Symposium, 2009

Active learning using mean shift optimization for robot grasping.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Learning Objects and Grasp Affordances through Autonomous Exploration.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision Systems, 2009

2008

Probabilistic Pose Recovery Using Learned Hierarchical Object Models.

[BibT_eX]

[DOI]

Nicolas Pugeault