Quadrupeds Cooperate for Super Jumps
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Quadrupeds Cooperate for Super Jumps

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๐Ÿ“„Read original on ArXiv AI

โšก 30-Second TL;DR

What changed

Decentralized multi-agent RL for high-impulse jumps

Why it matters

Pushes legged robot limits through collaboration, foundational for comm-free multi-robot tasks.

What to do next

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Who should care:Researchers & Academics

Co-jump enables two quadrupeds to synchronize jumps up to 1.5m via MAPPO and curriculum, without communication. Achieves 144% height gain over solo robots using proprioception. Transfers from sim to hardware.

Key Points

  • 1.Decentralized multi-agent RL for high-impulse jumps
  • 2.Progressive curriculum overcomes sparse rewards
  • 3.1.1m foot elevation demonstrated

Impact Analysis

Pushes legged robot limits through collaboration, foundational for comm-free multi-robot tasks.

Technical Details

MAPPO handles coupled dynamics; no motion primitives needed; multi-directional platform jumps.

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