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A Bezier curve based path planning in a multi-agent robot soccer system without violating the acceleration limits

机译:多主体机器人足球系统中基于贝塞尔曲线的路径规划,而不会违反加速度限制

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摘要

This paper proposes an efficient, Bezier curve based approach for the path planning of a mobile robot in a multi-agent robot soccer system. The boundary conditions required for defining the Bezier curve are compatible with the estimated initial state of the robot and the ball. The velocity of the robot along the path is varied continuously to its maximum allowable levels by keeping its acceleration within the safe limits. An obstacle avoidance scheme is incorporated for dealing with the stationary and moving obstacles. When the robot is approaching a moving obstacle in the field, it is decelerated and deviated to another Bezier path leading to the estimated target position. The radius of curvature of the path at its end points is determined from the known terminal velocity constraint of the robot.
机译:本文提出了一种基于贝塞尔曲线的高效方法,用于多主体机器人足球系统中移动机器人的路径规划。定义贝塞尔曲线所需的边界条件与估计的机器人和球的初始状态兼容。通过将机器人的加速度保持在安全范围内,机器人沿路径的速度连续变化至其最大允许水平。纳入了避障方案,用于处理固定和移动障碍。当机器人在野外接近移动的障碍物时,它会减速并偏向另一个通往估计目标位置的贝塞尔曲线路径。路径在其端点处的曲率半径由机器人的已知终端速度约束确定。

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