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An Optimisation-Based Distributed Cooperative Control for Multi-Robot Manipulation with Obstacle Avoidance

机译:基于优化的分布式协作控制,用于避免障碍物的多机器人操纵

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Multi-robot manipulation systems are usually high-dimensional, kinematically complex and the internal forces are sensitive to robot motion errors due to the physical coupling, especially when the manipulated object is rigid. In this work, a distributed cooperative controller is designed for this scenario. Besides transporting the object, obstacle avoidance and manipulability enhancement are also achieved online by a novel optimisation-based approach. Since the local controller does not require the other robots to send the model or joint-space data, the system is flexible and the communication cost is minimal. experiments show that no internal force is generated when the robots are changing their poses for the additional tasks and the online computation is fast.
机译:多机器人操纵系统通常是高维的,运动学上复杂的,并且由于物理耦合而导致的内部力对机器人运动误差敏感,特别是当操纵物体是刚性时。在这项工作中,为此方案设计了一个分布式协作控制器。除了运输目的,还通过基于新的优化的方法在线在线实现避免避免和可操纵性增强。由于本地控制器不需要其他机器人发送模型或联合空间数据,因此系统是灵活的,并且通信成本最小。实验表明,当机器人改变其额外任务的姿势时,没有产生内部力,并且在线计算快速。

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