Guillaume Gallot

École Centrale de Nantes, Laboratoire des Sciences du Numérique de Nantes

Papers

Total Citations

149

H-Index

About

Guillaume Gallot is a leading figure in the field of bio-inspired robotics, with a primary focus on the dynamic modeling and control of underwater eel-like robots. His most influential work, "Dynamic Modeling and Simulation of a 3-D Serial Eel-Like Robot" (2007), has garnered 84 citations and introduces a pioneering recursive algorithm based on the Newton-Euler equations for both direct and inverse dynamic models. This foundational research, extended in his 2006 paper (27 citations) and a subsequent study on hybrid-structure eels (15 citations), provides critical mathematical frameworks for understanding the complex locomotion of serpentine robots in three-dimensional aquatic environments. Beyond underwater robotics, Gallot has also made notable contributions to industrial teleoperation, as demonstrated in his 2021 paper (23 citations) on improving ROS-based control for Yaskawa robots, addressing critical issues of trajectory tracking errors and latency. His work bridges theoretical dynamics with practical control challenges, offering essential tools for researchers in robotics, control systems, and marine engineering. Through these achievements, Gallot has established himself as a key contributor to the advancement of both soft and rigid robotic systems.