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Defend the practicality of single-integrator models in multi-robot coordination control

机译:捍卫单集成商模型在多机器人协调控制中的实用性

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Single-integrator models have been widely used to model robot kinematics in multi-robot coordination control problems. However, it is also widely believed that this model is too simple to lead to practically useful control laws. In this paper, we prove that if a gradient-descent distributed control law designed for single integrators has been proved to be convergent for a given coordination task, then the control law can be readily modified to adapt for various motion constraints including velocity saturation, obstacle avoidance, and nonholonomic models. This result is valid for a wide range of coordination tasks. It defends the practical usefulness of many existing coordination control laws designed based on single-integrator models and suggests a new methodology to design coordination control laws subject motion constraints.
机译:单集成器模型已被广泛用于在多机器人协调控制问题中对机器人运动学进行建模。但是,也普遍认为该模型过于简单,无法得出实用的控制律。在本文中,我们证明,如果已证明为单个积分器设计的梯度下降分布式控制律对于给定的协调任务是收敛的,则可以轻松修改控制律以适应各种运动约束,包括速度饱和,障碍回避和非完整模型。该结果对于各种协调任务都是有效的。它捍卫了许多现有的基于单积分器模型设计的协调控制律的实用性,并提出了一种新的方法来设计受运动约束的协调控制律。

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