13 citations · 31 across the 17 of their papers we have counts for
18 papers
HydroelasticTouch: Simulation of Tactile Sensors with Hydroelastic Contact Surfaces
David P. Leins, Florian Patzelt, Robert Haschke
Thanks to recent advancements in the development of inexpensive, high-resolution tactile sensors, touch sensing has become popular in contact-rich robotic manipulation tasks. With…
Precision-Focused Reinforcement Learning Model for Robotic Object Pushing
Lara Bergmann, David Leins, Robert Haschke +1
Non-prehensile manipulation, such as pushing objects to a desired target position, is an important skill for robots to assist humans in everyday situations. However, the task is ch…
Adaptive Kinematic Modeling for Improved Hand Posture Estimates Using a Haptic Glove
Kathrin Krieger, David P. Leins, Thorben Markmann +4
Most commercially available haptic gloves compromise the accuracy of hand-posture measurements in favor of a simpler design with fewer sensors. While inaccurate posture data is oft…
Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge
Sriram Yenamandra, Arun Ramachandran, Mukul Khanna +42
In order to develop robots that can effectively serve as versatile and capable home assistants, it is crucial for them to reliably perceive and interact with a wide variety of obje…
UniTeam: Open Vocabulary Mobile Manipulation Challenge
Andrew Melnik, Michael Büttner, Leon Harz +6
This report introduces our UniTeam agent - an improved baseline for the "HomeRobot: Open Vocabulary Mobile Manipulation" challenge. The challenge poses problems of navigation in un…
Language-Conditioned Semantic Search-Based Policy for Robotic Manipulation Tasks
Jannik Sheikh, Andrew Melnik, Gora Chand Nandi +1
Reinforcement learning and Imitation Learning approaches utilize policy learning strategies that are difficult to generalize well with just a few examples of a task. In this work,…