activity
20192023
most citedSelf-Paced Contextual Reinforcement Learning

9 citations · 24 across the 8 of their papers we have counts for

collaborators
Showing cs.ROShow all

5 papers · 1 filter

cs.RO2024

What Matters for Active Texture Recognition With Vision-Based Tactile Sensors

Alina Böhm, Tim Schneider, Boris Belousov +6

This paper explores active sensing strategies that employ vision-based tactile sensors for robotic perception and classification of fabric textures. We formalize the active samplin…

cs.RO2022

Active Exploration for Robotic Manipulation

Tim Schneider, Boris Belousov, Georgia Chalvatzaki +3

Robotic manipulation stands as a largely unsolved problem despite significant advances in robotics and machine learning in recent years. One of the key challenges in manipulation i…

cs.RO2021

Continuous-Time Fitted Value Iteration for Robust Policies

Michael Lutter, Boris Belousov, Shie Mannor +3

Solving the Hamilton-Jacobi-Bellman equation is important in many domains including control, robotics and economics. Especially for continuous control, solving this differential eq…

cs.RO2020

Underactuated Waypoint Trajectory Optimization for Light Painting Photography

Christian Eilers, Jonas Eschmann, Robin Menzenbach +3

Despite their abundance in robotics and nature, underactuated systems remain a challenge for control engineering. Trajectory optimization provides a generally applicable solution,…

cs.RO2019

Building a Library of Tactile Skills Based on FingerVision

Boris Belousov, Alymbek Sadybakasov, Bastian Wibranek +3

Camera-based tactile sensors are emerging as a promising inexpensive solution for tactile-enhanced manipulation tasks. A recently introduced FingerVision sensor was shown capable o…