Data Party THU
Apr 5, 2026 · Artificial Intelligence
How Sequential World Models Enable Scalable Multi‑Robot Cooperation
SeqWM introduces a sequential causal decomposition of multi‑robot dynamics, allowing each robot to model its marginal contribution conditioned on preceding agents, which simplifies learning, improves sample efficiency, and yields natural collaborative behaviors both in simulation (Bi‑DexHands, Multi‑Quadruped) and real‑world tests on Unitree Go2‑W, outperforming prior methods.
multi-robotreal-robotreinforcement-learning
0 likes · 7 min read