activity
20152026
most citedRoBoa: Construction and Evaluation of a Steerable Vine Robot for Search and Rescue Applications

87 citations · 452 across the 47 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

cs.RO2024

VQ-ACE: Efficient Policy Search for Dexterous Robotic Manipulation via Action Chunking Embedding

Chenyu Yang, Davide Liconti, Robert K. Katzschmann

Dexterous robotic manipulation remains a significant challenge due to the high dimensionality and complexity of hand movements required for tasks like in-hand manipulation and obje…

cs.RO2024

An Open-Source Soft Robotic Platform for Autonomous Aerial Manipulation in the Wild

Erik Bauer, Marc Blöchlinger, Pascal Strauch +3

Aerial manipulation combines the versatility and speed of flying platforms with the functional capabilities of mobile manipulation, which presents significant challenges due to the…

cs.RO2024★ 1 cited

Leveraging Pretrained Latent Representations for Few-Shot Imitation Learning on a Dexterous Robotic Hand

Davide Liconti, Yasunori Toshimitsu, Robert Katzschmann

In the context of imitation learning applied to dexterous robotic hands, the high complexity of the systems makes learning complex manipulation tasks challenging. However, the nume…

cs.RO2024

High-Frequency Capacitive Sensing for Electrohydraulic Soft Actuators

Michel R. Vogt, Maximilian Eberlein, Clemens C. Christoph +6

The need for compliant and proprioceptive actuators has grown more evident in pursuing more adaptable and versatile robotic systems. Hydraulically Amplified Self-Healing Electrosta…

cs.RO2024★ 3 cited

Self-Sensing Feedback Control of an Electrohydraulic Robotic Shoulder

Clemens C. Christoph, Amirhossein Kazemipour, Michel R. Vogt +2

The human shoulder, with its glenohumeral joint, tendons, ligaments, and muscles, allows for the execution of complex tasks with precision and efficiency. However, current robotic…

cs.RO2024★ 21 cited

Sim-to-Real of Soft Robots with Learned Residual Physics

Junpeng Gao, Mike Yan Michelis, Andrew Spielberg +1

Accurately modeling soft robots in simulation is computationally expensive and commonly falls short of representing the real world. This well-known discrepancy, known as the sim-to…