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

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Demonstrating MuJoCo Playground
3 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 11

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago