Papers
5
Total Citations
33
H-Index
3
About
Florent Forget is a robotics researcher whose work centers on the control and actuation of legged and humanoid robots, with a particular focus on enabling dynamic, explosive, and high-payload locomotion. His major contributions lie at the intersection of optimal control and actuator design, where he has developed and validated nonlinear optimal control solvers—such as Differential Dynamic Programming (DDP)—for real-world robotic systems. Forget’s experimental work on the TALOS humanoid robot, for instance, demonstrates how torque control can be effectively applied to manage mechanical constraints during high-payload tasks, a critical step toward practical, heavy-duty humanoid robots. His research also explores novel pneumatic muscle actuators for explosive movements like throwing and kicking, as well as efficient, back-drivable electric actuators for compact, autonomous robots. With his most-cited paper, “Multi-contact Locomotion of Legged Robots in Complex Environments – The Loco3D project,” garnering 14 citations, Forget’s work is recognized internationally for advancing the frontier of robot mobility in challenging terrains. His contributions are particularly valuable for researchers and engineers aiming to bridge the gap between theoretical control methods and robust, real-world robotic performance.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5