activity
20182026
most citedRBO Hand 3 -- A Platform for Soft Dexterous Manipulation

133 citations · 237 across the 9 of their papers we have counts for

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11 papers · 1 filter

cs.RO2026

Motion Generation With Environmental Constraints

Előd Páll, Oliver Brock

Robot motion planning faces challenges in high-dimensional spaces and uncertain environments, often constrained by the need for collision-free motions. We advocate an alternative a…

cs.RO2026

Acoustic Sensing for Universal Jamming Grippers

Lion Weber, Theodor Wienert, Martin Splettstößer +2

Universal jamming grippers excel at grasping unknown objects due to their compliant bodies. Traditional tactile sensors can compromise this compliance, reducing grasping performanc…

cs.RO2023

In-Hand Cube Reconfiguration: Simplified

Sumit Patidar, Adrian Sieler, Oliver Brock

We present a simple approach to in-hand cube reconfiguration. By simplifying planning, control, and perception as much as possible, while maintaining robust and general performance…

cs.RO2023

Dexterous Soft Hands Linearize Feedback-Control for In-Hand Manipulation

Adrian Sieler, Oliver Brock

This paper presents a feedback-control framework for in-hand manipulation (IHM) with dexterous soft hands that enables the acquisition of manipulation skills in the real-world with…

cs.RO2022

Augmentation for Learning From Demonstration with Environmental Constraints

Xing Li, Manuel Baum, Oliver Brock

We introduce a Learning from Demonstration (LfD) approach for contact-rich manipulation tasks with articulated mechanisms. The extracted policy from a single human demonstration ge…

cs.RO2022

"The World Is Its Own Best Model": Robust Real-World Manipulation Through Online Behavior Selection

Manuel Baum, Oliver Brock

Robotic manipulation behavior should be robust to disturbances that violate high-level task-structure. Such robustness can be achieved by constantly monitoring the environment to o…