Robin Arbaud — accepted AI-conference papers

2025

Assisting Gait Stability in Walking Aid Users Exploiting Biomechanical Variables Correlation

Andrea Fortuna, Marta Lorenzini, Younggeol Cho, Robin Arbaud, Stefano Filippo Castiglia, Mariano Serrao +3

RA-L 2025

Walking aids for individuals with musculoskeletal frailty or motor disabilities must ensure adequate physical support and assistance to their users. To this end, sensor-enabled human state monitoring and estimation are crucial. This paper proposes an innovative approach to assessing users' stability

Cited by 0 Source ↗Scholar ↗

2025

Learning and Online Replication of Grasp Forces from Electromyography Signals for Prosthetic Finger Control

Robin Arbaud, Elisa Motta, Marco Domenico Avaro, Stefano Picinich, Marta Lorenzini, Arash Ajoudani

ICRA 2025

Partial hand amputations significantly affect the physical and psychosocial well-being of individuals, yet intuitive control of externally powered prostheses remains an open challenge. To address this gap, we developed a force-controlled prosthetic finger activated by electromyography (EMG) signals.

Cited by 0 Source ↗Scholar ↗

2024

Pushing in the Dark: A Reactive Pushing Strategy for Mobile Robots Using Tactile Feedback

Idil Ozdamar, Doganay Sirintuna, Robin Arbaud, Arash Ajoudani

RA-L 2024

For mobile robots, navigating cluttered or dynamic environments often necessitates non-prehensile manipulation, particularly when faced with objects that are too large, irregular, or fragile to grasp. The unpredictable behavior and varying physical properties of these objects significantly complicat

Cited by 10 Source ↗Scholar ↗