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Feedback stabilizer-based trajectory planning of mobile robots with kinematic constraints

机译:运动学约束的基于反馈稳定器的移动机器人轨迹规划

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摘要

Many theoretic approaches for feedback stabilization control of nonholonomic mobile robots cannot be directly applied to practical robots since various kinematic constraints such as the velocity and acceleration limits are not considered in existing methods. To deal with this issue, we aim to propose a generic approach which first uses an (arbitrary) feedback stabilizer to generate the ‘path’ and then rebuilt the corresponding ‘trajectory’ along this ‘path’ to meet various kinematic constraints, which ultimately gives a practical satisfactory solution for local trajectory planning. Specifically, a general framework is established to transform feedback stabilizers into a feasible and highly efficient trajectory planner by using path generation and optimal velocity planning techniques, considering both kinematic and differential constraints. Extensive simulation results are provided to validate the proposed approach.
机译:非完整移动机器人的反馈稳定控制的许多理论方法不能直接应用于实际机器人,因为在现有方法中未考虑各种运动学约束,例如速度和加速度极限。为了解决这个问题,我们旨在提出一种通用方法,该方法首先使用(任意)反馈稳定器来生成“路径”,然后沿该“路径”重建相应的“轨迹”,以满足各种运动学约束,最终得出一个实用的令人满意的局部轨迹规划解决方案。具体而言,建立了一个通用框架,通过考虑运动学和差分约束,通过使用路径生成和最佳速度规划技术将反馈稳定器转换为可行且高效的轨迹规划器。提供了大量的仿真结果以验证所提出的方法。

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