Microrobot navigation policies trained in under 10 minutes via 8192 parallel sims
bravo_abad · x · 2026-10-03
- Sun and colleagues train microrobot navigation policies with PPO; the key innovation is how training experience is generated: thousands of simulated environments run in parallel, with robot motion, obstacle sensing, and collision checks all computed concurrently.
- A telling comparison: computing robots' views of nearby obstacles for the same number of simulated steps takes 100 seconds with 16 parallel environments, versus 0.2 seconds with 8,192.
- The full system — this simulator plus carefully designed rewards — trains navigation policies in under 10 minutes on a single GPU, offering a template for breaking the simulation bottleneck in microrobot RL.
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