103 citations · 328 across the 79 of their papers we have counts for
8 papers · 1 filter
Interactive Imitation Learning in Robotics: A Survey
Carlos Celemin, Rodrigo Pérez-Dattari, Eugenio Chisari +7
Interactive Imitation Learning (IIL) is a branch of Imitation Learning (IL) where human feedback is provided intermittently during robot execution allowing an online improvement of…
Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps
Daniel Honerkamp, Suresh Guttikonda, Abhinav Valada
Accurate localization is a critical requirement for most robotic tasks. The main body of existing work is focused on passive localization in which the motions of the robot are assu…
RobotIO: A Python Library for Robot Manipulation Experiments
Lukas Hermann, Max Argus, Adrian Roefer +2
Setting up robot environments to quickly test newly developed algorithms is still a difficult and time consuming process. This presents a significant hurdle to researchers interest…
Fairness and Bias in Robot Learning
Laura Londoño, Juana Valeria Hurtado, Nora Hertz +3
Machine learning has significantly enhanced the abilities of robots, enabling them to perform a wide range of tasks in human environments and adapt to our uncertain real world. Rec…
NM: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments
Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Despite its importance in both industrial and service robotics, mobile manipulation remains a significant challenge as it requires a seamless integration of end-effector trajectory…
Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces
Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold +1
Recent advances in vision-based navigation and exploration have shown impressive capabilities in photorealistic indoor environments. However, these methods still struggle with long…
Self-Supervised Learning of Multi-Object Keypoints for Robotic Manipulation
Jan Ole von Hartz, Eugenio Chisari, Tim Welschehold +1
In recent years, policy learning methods using either reinforcement or imitation have made significant progress. However, both techniques still suffer from being computationally ex…
Doing Right by Not Doing Wrong in Human-Robot Collaboration
Laura Londoño, Adrian Röfer, Tim Welschehold +1
As robotic systems become more and more capable of assisting humans in their everyday lives, we must consider the opportunities for these artificial agents to make their human coll…