Samuel Holt
Papers
1
Total Citations
3
H-Index
1
About
Samuel Holt is a leading researcher in robot learning and simulation-to-real (sim-to-real) transfer, with a focus on accelerating the development of deployable robotic systems. His most notable contribution is the creation of MuJoCo Playground, a fully open-source framework built on MJX that dramatically simplifies the pipeline from simulation to training to real-world robot deployment. By enabling researchers to train policies in minutes on a single GPU with a simple `pip install playground`, Holt has lowered the barrier to entry for cutting-edge robot learning. This work has already garnered early citations and is poised to become a foundational tool in the field. Holt’s research bridges the gap between high-performance simulation and practical robotics, making him a key figure in democratizing advanced robot learning. His achievements reflect a commitment to open science and efficient, scalable solutions for embodied AI.
Research Focus
Key Achievements
Top Papers
- 1Demonstrating MuJoCo Playground3 citations · 2025