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Franck Geffard

4 accepted papers

2025

Using Artificial Demonstrations Emulating Human Movement Variability for a Learning-Based Exoskeleton Flow Controller

RA-L 2025

Robotic exoskeletons hold great potential for reducing physical effort and mitigating work-related musculoskeletal disorders. Nevertheless, designing exoskeletons that assist users without disrupting their natural movement remains challenging, as these devices must align seamlessly with human motor

Cited by 0SourceScholar
2022

Controller design of a robotic assistant for the transport of large and fragile objects

IROS 2022poster

This paper deals with the design of a robotic assistant for the transport of large and fragile objects. We propose a new collaborative robotic controller that fulfills the main requirements of co-transportation tasks of large and fragile objects: to execute any trajectory in a collaborative mode whi…

Cited by 0SourceScholar
2020

Controlling an upper-limb exoskeleton by EMG signal while carrying unknown load

ICRA 2020poster

Implementing an intuitive control law for an upper-limb exoskeleton dedicated to force augmentation is a challenging issue in the field of human-robot collaboration. The aim of this study is to design an innovative approach to assist carrying an unknown load without using force sensors or specific h…

Cited by 43SourceScholar
2018

Interacting with a “Transparent” Upper-Limb Exoskeleton: A Human Motor Control Approach

IROS 2018poster

Establishing a symbiotic relationship between a human and a exoskeleton is the end goal in many applications in order to provide benefits to the user. However, the literature focusing on the human side of human-exoskeleton interaction has remained less exhaustive than the literature focusing on the…

Cited by 30SourceScholar