Claudio Castellini — accepted AI-conference papers

2025

Back to the Cartesian: Pilot Study for Assessing Human Stiffness in 3D Cartesian Space by Transforming from Muscle Space in a Peg-In-Hole Scenario for Tele-Impedance

Sabine Thürauf, Florian Mehrkens, Claudio Castellini, Marek Sierotowicz

ICRA 2025

For various teleoperation tasks, position-based control is not practical. An impedance-based control is superior e.g. for handling fragile objects, like harvesting fruits or grasping a paper cup. However, only a few researchers have focused on impedance control for teleoperation. In tele-impedance,

Cited by 1 Source ↗Scholar ↗

2022

EMG-Driven Machine Learning Control of a Soft Glove for Grasping Assistance and Rehabilitation

Marek Sierotowicz, Nicola Lotti, Laura Nell, Francesco Missiroli, Ryan Alicea, Xiaohui Zhang +6

RA-L 2022

In the field of rehabilitation robotics, transparent, precise and intuitive control of hand exoskeletons still represents a substantial challenge. In particular, the use of compliant systems often leads to a trade-off between lightness and material flexibility, and control precision. In this letter,

Cited by 49 Source ↗Scholar ↗