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Yves Zimmermann

4 accepted papers

2023

Trajectory Optimization Framework for Rehabilitation Robots With Multi-Workspace Objectives and Constraints

RA-L 2023

Robot-assisted neurorehabilitation requires trajectories between arbitrary poses in the patient's range of motion. Data-driven optimization methods, such as Learning by Demonstration, are well suited to replicate complex multi-joint movements. However, these methods lack individualization to patient

Cited by 6SourceScholar
2020

Physical Human-Robot Interaction with Real Active Surfaces using Haptic Rendering on Point Clouds

IROS 2020poster

During robot-assisted therapy of hemiplegic patients, interaction with the patient must be intrinsically safe. Straight-forward collision avoidance solutions can provide this safety requirement with conservative margins. These margins heavily reduce the robot's workspace and make interaction with th…

Cited by 13SourceScholar
2020

Towards Dynamic Transparency: Robust Interaction Force Tracking Using Multi-Sensory Control on an Arm Exoskeleton

IROS 2020poster

A high-quality free-motion rendering is one of the most vital traits to achieve an immersive human-robot interaction. Rendering free-motion is notably challenging for rehabilitation exoskeletons due to their relatively high weight and powerful actuators required for strength training and support. In…

Cited by 46SourceScholar