全向车辆的实时、近最优轨迹规划

T. Kalmár-Nagy, P. Ganguly, R. D’Andrea
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引用次数: 0

摘要

在本文中,我们讨论了一种创新的方法,为具有全向驱动能力的机器人生成近最优轨迹,同时考虑了执行器和系统的动力学。放松最优性可以节省大量的计算量,这在动态环境中是至关重要的。特别地,提出了车辆三个自由度的解耦策略,以及协调自由度的方法。车辆的近乎最优轨迹通常可以在不到1000个浮点运算中计算出来,这使得它在动态和不确定环境中的实时控制具有吸引力。
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Real Time, Near-Optimal Trajectory Planning of an Omni-Directional Vehicle
In this paper, we discuss an innovative method of generating near-optimal trajectories for a robot with omni-directional drive capabilities, taking into account the dynamics of the actuators and the system. The relaxation of optimality results in immense computational savings, critical in dynamic environments. In particular, a decoupling strategy for each of the three degrees of freedom of the vehicle is presented, along with a method for coordinating the degrees of freedom. A nearly optimal trajectory for the vehicle can typically be calculated in less than 1000 floating point operations, which makes it attractive for real-time control in dynamic and uncertain environments.
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