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Realization of human task skill in dynamic telemanipulation

机译:动态遥操作中人类任务技能的实现

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摘要

Investigates two basic problems in robotics research. It first analyses how a human learns to adapt to his/her unknown environmental constraints during performance of a crank rotation task. It is found from experiments that, as the training proceeded, the subject changes his/her turning strategy from pulling the crank to pushing it. It is clarified that, although the normal contact force between the arm and the crank seems not useful in rotating the crank, it can be used to adjust the arm-crank system's structured stability. When the subject does not familiar with the constraint of the crank, he/she pulls it to make the arm-crank system stable. However, after sufficient training, the subject actively pushes the crank to make the closed chain unstable, which improves the task performance. The paper also proposes a master-slave control approach for the robot system to realize the human's task skill on the telemanipulated object. The approach uses the object's model to compensate the master robot so that the operator can feel as if he/she is working directly with the object. The effectiveness of this approach is also studied experimentally by comparison with two other methods.
机译:研究机器人技术研究中的两个基本问题。它首先分析了人类在执行曲柄旋转任务期间如何学习适应其未知的环境约束。从实验中发现,随着训练的进行,受试者将其转向策略从拉动曲柄改变为推动曲柄。需要说明的是,尽管臂和曲柄之间的正常接触力似乎在旋转曲柄方面没有用,但可以用来调整臂曲柄系统的结构稳定性。当受试者不熟悉曲柄约束时,他/她会拉动曲柄约束以使手臂曲柄系统稳定。但是,经过充分的训练后,受试者会主动推动曲柄,使闭合链不稳定,从而改善了任务表现。本文还提出了一种机器人系统的主从控制方法,以实现人类对遥控对象的任务技能。该方法使用对象的模型来补偿主机器人,从而使操作员感到自己在直接处理对象。通过与其他两种方法进行比较,还通过实验研究了这种方法的有效性。

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