首页> 外文会议>Asia-Pacific Conference on Simulated Evolution and Learning(SEAL'2002); 20021118-22; Singapore(SG) >CO-ADAPTATION TO FACILITATE NATURALISITC HUMAN INVOLVEMENT IN SHARED CONTROL SYSTEM
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CO-ADAPTATION TO FACILITATE NATURALISITC HUMAN INVOLVEMENT IN SHARED CONTROL SYSTEM

机译:共享控制系统中自然人参与的协同自适应

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Shared control is a challenge to combine and capitalize on both advantages of human and mechanized automatic controls. But any interventions by a machine-autonomy may introduce some kind of collapses in the isomorphism between the two different interaction fields of the human operation and of the system performance, which is necessary for the naturalistic involvement of a human operator with the system control. On this issue, we focus on the adaptability for the machine-autonomy to coordinate the mapping between the two fields to facilitate the human feeling of direct involvement with the system control, as well as the human adaptation (i.e., co-adaptation). In this chapter, we investigate their joint activity in a shared control of a virtual robot teleoperation environment, and then discuss the effect of the machine intervention in terms of the system operationality for human operators. The feasibility of the co-adaptive approach towards the well-coordinated relationship between a manipulator and a manipulatee is also examined based upon the experimental result with a simple adaptation algorithm implemented into the machine-autonomy.
机译:共享控制是结合并利用人力和机械化自动控制的优势的挑战。但是,机器自治的任何干预都可能在人类操作和系统性能的两个不同交互场之间的同构状态中引起某种崩溃,这对于人类操作员自然参与系统控制是必需的。在这个问题上,我们专注于机器自治的适应性,以协调两个领域之间的映射,以促进人类直接参与系统控制以及人类适应(即共同适应)的感觉。在本章中,我们将研究他们在虚拟机器人远程操作环境的共享控制下的联合活动,然后根据人类操作员的系统可操作性来讨论机器干预的效果。还基于实验结果,通过在机器自治中实现的简单自适应算法,研究了针对机械手和被操纵者之间良好协调的关系的自适应方法的可行性。

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