PeopleofSuperintelligence

Researcher

Jing Yuan Luo

Jing-Yuan Luo’s shared research studies robot learning and control. Luo’s shared research includes residual policy learning and the MuJoCo Playground simulation framework. Luo co-authored a study of perceptive quadruped control with differentiable simulation. The paper learns a residual over a baseline policy and studies locomotion and pixel-based navigation. Luo is one of the thirteen authors of MuJoCo Playground. The paper presents a framework built with MJX that joins physics simulation, rendering and training environments for robot-policy learning and transfer to real hardware.

Works
2
Citations
10
h-index
1

Publication numbers from OpenAlex, as of 14 October 2026.

Timeline

  1. 2024

    Residual policy learning

    Luo co-authored a study of perceptive quadruped control with differentiable simulation. The paper learns a residual over a baseline policy and studies locomotion and pixel-based navigation.

  2. 2025

    An open robot-learning framework

    Luo is one of the thirteen authors of MuJoCo Playground. The paper presents a framework built with MJX that joins physics simulation, rendering and training environments for robot-policy learning and transfer to real hardware.

Sources and credits

Photo: We have no published photo of Jing Yuan Luo yet. Send us a free-licensed photo.

  1. [2410.03076] Residual Policy Learning for Perceptive Quadruped Control Using Differentiable Simulation arxiv.org. Checked 13 October 2026.
  2. [2502.08844] MuJoCo Playground arxiv.org. Checked 13 October 2026.