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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 6Source ↗Scholar ↗
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 13Source ↗Scholar ↗
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 46Source ↗Scholar ↗