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首页> 外文期刊>IEEE Robotics and Automation Letters >Semi-Autonomous Robot Teleoperation With Obstacle Avoidance via Model Predictive Control
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Semi-Autonomous Robot Teleoperation With Obstacle Avoidance via Model Predictive Control

机译:通过模型预测控制避免障碍的半自主机器人遥操作

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摘要

This letter proposes a model predictive control approach for semi-autonomous teleoperation of robot manipulators: the focus is on avoiding obstacles with the whole robot frame, while exploiting predictions of the operator's motion. The hand pose of the human operator provides the reference for the end effector, and the robot motion is continuously replanned in real time, satisfying several constraints. An experimental case study is described regarding the design and testing of the described framework on a UR5 manipulator: the experimental results confirm the suitability of the proposed method for semi-autonomous teleoperation, both in terms of performance (tracking capability and constraint satisfaction) and computational complexity (the control law is calculated well within the sampling interval).
机译:这封信提出了一种用于机器人机械手半自动遥控操作的模型预测控制方法:重点是在利用操作员运动的预测的同时,避免整个机器人机架出现障碍物。操作员的手势为端部执行器提供了参考,并且机器人的运动会实时不断地进行重新规划,以满足一些约束条件。在UR5机械手上描述了有关上述框架的设计和测试的实验案例研究:实验结果从性能(跟踪能力和约束满足)以及计算能力两方面都证实了所提出的方法适用于半自主遥操作。复杂度(在采样间隔内很好地计算了控制律)。

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