Li Ma

GPUSimBench: Towards Scalable and Reliable GPU-Accelerated Simulators in Embodied AI

Huzhenyu Zhang, Shenghai Yuan, Wenrui Yan, Li Ma, Hengjie Li, Jingcheng Pang, et al.

Data-driven embodied AI is rapidly transitioning into a paradigm that scales training through massively parallel simulation, where GPU-accelerated simulators serve as the foundational data infrastructure. However, as computational throughput scales, the underlying trade-offs betw…Read more