Autonomous Trajectory Generation for Mobile Robots with Non-Holonomic and Steering Angle Constraints

Frangois G. Pin, H. Vasseur
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引用次数: 33

Abstract

This paper presents an approach to the trajectory planning of mobile platforms characterized by non-holonomic constraints and constraints on the steering angle and steering angle rate. The approach is based on geometric reasoning and provides deterministic trajectories for all pairs of initial and final configurations (position x, y, and orientation {theta}) of the robot. Furthermore, the method generates trajectories taking into account the forward and reverse mode of motion of the vehicle, or combination of these when complex maneuvering is involved or when the environment is obstructed with obstacles. The trajectory planning algorithm is described, and examples of trajectories generated for a variety of environmental conditions are presented. The generation of the trajectories only takes a few milliseconds of run time on a micro Vax, making the approach quite attractive for use as a real-time motion planner for teleoperated or sensor-based autonomous vehicles in complex environments. 10 refs., 11 figs.
具有非完整和转向角约束的移动机器人自主轨迹生成
提出了一种具有非完整约束和转向角、转向角速率约束的移动平台轨迹规划方法。该方法基于几何推理,并为机器人的所有对初始和最终配置(位置x, y和方向{theta})提供确定性轨迹。此外,当涉及复杂机动或环境被障碍物阻塞时,该方法生成的轨迹考虑到车辆的正向和反向运动模式,或两者的组合。描述了轨迹规划算法,并给出了在各种环境条件下生成轨迹的实例。在微型Vax上,轨迹的生成只需要几毫秒的运行时间,这使得该方法在复杂环境中作为远程操作或基于传感器的自动驾驶汽车的实时运动规划器非常有吸引力。参10。, 11个无花果。
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