Patrick Lacouture

About

Patrick Lacouture is a leading researcher in humanoid robotics and biomechanics, specializing in the translation of human motion to robotic platforms. His primary contributions lie in developing algorithms that enable humanoid robots to replicate human locomotion with remarkable fidelity. Lacouture’s most influential work, “From human motion capture to humanoid locomotion imitation Application to the robots HRP-2 and HOAP-3” (22 citations), introduced a method using 37 reflective markers to capture full-body human gait, which was then adapted for robots. This approach was further refined in his auto-adaptable algorithm (16 citations), which automatically adjusts captured human trajectories to suit different robot morphologies, making it a versatile tool for the field. His research has been instrumental in advancing human-like walking in robots, with applications ranging from prosthetics to entertainment. Lacouture’s work on the HRP-2 robot, including reproducing a human slalom, demonstrates his ability to bridge the gap between human movement and robotic execution. His contributions have laid a foundation for future studies in motion imitation and human-robot interaction.

Research Focus

Key Achievements

Top Papers

1. 1
   From human motion capture to humanoid locomotion imitation Application to the robots HRP-2 and HOAP-3

   22 citations · 2010
2. 2
   An auto-adaptable algorithm to generate human-like locomotion for different humanoid robots based on motion capture data

   16 citations · 2010
3. 3
   HRP-2 reproducing a human slalom - the whole process

   3 citations · 2009

Key Collaborators

Contact & Links