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Conflict Detection for Multi-agent Motion Planning using Mathematical Analysis of Extended Collision Map

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로봇학회논문지 (The Journal of Korea Robotics Society)
한국로봇학회 (Korea Robotics Society)
초록

Effective tools which can alleviate the complexity and computational load problem in collision-free motion planning for multi-agent system have steadily been demanded in robotics field. To reduce the complexity, the extended collision map (ECM) which adopts decoupled approach and prioritization is already proposed. In ECM, the collision regions which represent the potential collision of robots are calculated using the computational power; the complexity problem is not resolved completely. In this paper, we propose a mathematical analysis of the extended collision map; as a result, we formulate the collision region as an equation with 5–8 variables. For mathematical analysis, we introduce realistic assumptions as follows; the paths of robots can be approximated to a straight line or an arc and the robots move with uniform velocity or constant acceleration near the intersection between paths. Our result reduces the computational complexity in comparison with the previous result without losing optimality, because we use simple but exact equations of the collision regions. This result can be widely applicable to coordinated multi-agent motion planning.

저자
  • 윤영환 | Y.H.Yoon
  • 최정식 | J.S.Choi
  • 이범희 | B.H.Lee