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CALM: Decentralized Control of Cooperative Aerial Manipulation with Multi-Agent Reinforcement Learning

Jiaxi Huo, Petre Ricioppo, Fausto Francesco Lizzio
From the abstract

Cooperative aerial manipulation is difficult under wind, payload motion, and noisy goal broadcasts because multiple Unmanned Aerial Vehicles (UAVs) are coupled through a shared payload. We present CALM (Cooperative Aerial Learned Manipulation), a decentralized controller for aerial manipulators carrying a basket while tracking a moving ground robot.

From the abstract. Our summary is in progress.

The full text is not republished here because the paper's license does not allow it. Read the original on arXiv.