Arnav Gurha
Papers
2
Total Citations
16
H-Index
2
About
Arnav Gurha is a leading researcher at the intersection of robotics, embodied AI, and high-performance simulation. His primary contributions center on developing scalable, GPU-accelerated simulation frameworks that bridge the gap between virtual training and real-world robot deployment. Gurha is the driving force behind ManiSkill3, a state-of-the-art, open-source platform for generalizable embodied AI. This work directly addresses a critical bottleneck in robotics: the lack of fast, diverse, and feature-rich simulators capable of supporting massive parallelization. By demonstrating GPU-parallelized robot simulation and rendering, his research enables unprecedented compute-scalable approaches to robot learning, facilitating the training of policies that can generalize across a wide range of tasks and scenes. With his most-cited paper already garnering 13 citations shortly after its 2025 release, Gurha’s impact is rapidly growing. His work on ManiSkill3 is not just a technical achievement; it is a foundational tool for the entire robotics community, accelerating progress toward truly general-purpose embodied intelligence and robust sim-to-real transfer.
Research Focus
Key Achievements
Top Papers
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- 2