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Artem Beger

2 accepted papers

2025

Open-loop Deep Reinforcement Learning Control of Soft Robotic In-hand Manipulations

IROS 2025

In-hand manipulation tasks using hand-like robotic grippers offer a promising approach to accomplish various tasks in a human-centered environment. Due to the inherent safety of soft robots, in-hand manipulations performed by soft robots provide great opportunities for future human-robot collaborati

Cited by 0SourceScholar
2024

Multi-Tap Resistive Sensing and FEM Modeling Enables Shape and Force Estimation in Soft Robots

RA-L 2024

We address the challenge of reliable and accurate proprioception in soft robots, specifically soft robots with tight packaging constraints and relying only on internally embedded sensors. While various sensing approaches with single sensors have commonly been tried using a constant curvature assumpt

Cited by 16SourceScholar