誰と通信すべきか：マルチロボット衝突回避のための効率的通信学習
With Whom to Communicate: Learning Efficient Communication for Multi-Robot Collision Avoidance
マルチロボット衝突回避において、各ロボットが将来の衝突リスクを考慮して通信のタイミングと相手を学習により決定する効率的通信手法を提案し、4機のクアッドロータのシミュレーションで非通信・ブロードキャスト・距離ベース手法と比較評価した。
著者: Álvaro Serra-Gómez, Bruno Brito, Hai Zhu, Jen Jen Chung, Javier Alonso-Mora
分類: cs.RO, cs.AI, cs.MA
原文アブストラクト
Decentralized multi-robot systems typically perform coordinated motion planning by constantly broadcasting their intentions as a means to cope with the lack of a central system coordinating the efforts of all robots. Especially in complex dynamic environments, the coordination boost allowed by communication is critical to avoid collisions between cooperating robots. However, the risk of collision between a pair of robots fluctuates through their motion and communication is not always needed. Additionally, constant communication makes much of the still valuable information shared in previous time steps redundant. This paper presents an efficient communication method that solves the problem of "when" and with "whom" to communicate in multi-robot collision avoidance scenarios. In this approach, every robot learns to reason about other robots' states and considers the risk of future collisions before asking for the trajectory plans of other robots. We evaluate and verify the proposed communication strategy in simulation with four quadrotors and compare it with three baseline strategies: non-communicating, broadcasting and a distance-based method broadcasting information with quadrotors within a predefined distance.
