HALO: CMU-UTA Team's Lyapunov-Based Method Enables Human-Robot Collaboration

Researchers from CMU and UT Arlington presented HALO, accepted as an ICML 2026 Spotlight (Oral), which applies Heterogeneous-Agent Lyapunov policy Optimization so humanoid robots can safely collaborate with unpredictable humans.

2026-10-30 ~ 2026-10-30 · 2 related posts

• HALO (ICML 2026 Spotlight): certified-stable RL keeps humanoids coordinated with unpredictable humans — Scobleizer · 2026-10-30

1 near-duplicate retellings: rohanpaul_ai