Louis Le Lay
locomotion & simulation @ uma

I'm Louis Le Lay. I build learning-based controllers to make humanoid robots agile and useful.

At UMA, I lead locomotion and simulation for ASTRO, from bare hardware to walking and whole-body teleoperation. I deploy the same stack across the Unitree G1, AgiBot X2, and Booster K1.

Previously, I built the first RL locomotion controller for PAL Robotics' Kangaroo, a serial-parallel humanoid, replacing its legacy MPC walker. I am also a co-author of mjlab and an active contributor to Isaac Lab.

GitHub · LinkedIn · Twitter · E-mail · Scholar

Louis Le Lay
ASTRO Version 0 demonstrating whole-body teleoperation during its reveal
ASTRO 0 at the MACHINA Summit reveal
Kangaroo humanoid walking on real hardware with RL locomotion
Kangaroo at 0.5 m/s
G1 robot getting up using reinforcement learning
G1 fall recovery
Tennis motion retargeting to a robot
Motion retargeting

Experience

UMA · Founding Research Engineer Mar 2026 – Present

Leading sim-to-real robot learning across humanoid platforms.

PAL Robotics · Robotics Engineer Intern Jul 2025 – Mar 2026

Built the complete sim-to-real RL locomotion stack for Kangaroo, a serial-parallel humanoid. Supervised by Sai Kishor Kothakota.

University of Tokyo · Research Intern Jun – Sep 2024

Multimodal perception for legged robots. Supervised by Prof. An.

Airbus · Robotics Engineer Intern Sep 2023 – Jun 2024

Publications

For a complete and up-to-date list, see my Google Scholar.

Kevin Zakka, Qiayuan Liao, Brent Yi, Louis Le Lay, Koushil Sreenath, Pieter Abbeel
arXiv preprint, Jan 2026

Software

PAL Robotics' robots in mjlab. Standard RL interface for Kangaroo, Talos, and TIAGo.
Isaac Lab API on MuJoCo Warp. Led by Kevin Zakka.
Isaac Lab training to real Kinova Gen3 deployment via ROS 2.
RL manipulation tasks for SO‑ARM100/101 in Isaac Lab.

Talks

Press & Mentions

Education