Louis Le Lay
locomotion & simulation @ uma

I'm Louis Le Lay. I build learning-based controllers that make humanoid robots walk and move.

At UMA, I own locomotion and simulation for ASTRO, taking Version 0 from bare hardware to walking and whole-body teleoperation. I also deploy the same stack on platforms including the G1 and X2.

Previously, I built the first RL controller to walk PAL Robotics' Kangaroo 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 walking during its reveal by UMA Robotics
ASTRO Version 0 reveal — locomotion & whole-body teleoperation
Kangaroo humanoid walking on real hardware with RL locomotion
Kangaroo at 0.5 m/s — RL replacing 20 years of MPC
G1 robot getting up using reinforcement learning
G1 fall recovery
Tennis motion retargeting to a robot
Motion retargeting

Experience

UMA · Research Engineer Mar 2026 – Present

Own locomotion and simulation for ASTRO — bare hardware to walking and whole-body control. This work was featured in Rémi Cadene's keynote at MACHINA Summit 2026. Also develop locomotion and whole-body control for the G1 and X2.

PAL Robotics · Robotics Engineer Jul 2025 – Mar 2026

Built the full RL sim-to-real locomotion pipeline for the Kangaroo humanoid, replacing the legacy MPC-based walker.

University of Tokyo · Research Intern Jun – Sep 2024
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.

Press & Mentions

Talks

Education