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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 0Source ↗Scholar ↗
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 0Source ↗Scholar ↗
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 43Source ↗Scholar ↗
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 30Source ↗Scholar ↗