2018/01/27 by Yusuke Inoune, Inoune, Yusuke, Agunar Prayit +1
Computer Science · Engineering · #Cognitive Computing and Networks #FOS: Computer and information sciences #Robot Manipulation and Learning #Robotics (cs.RO) #Robotics and Automated Systems
paper · pdf · doi:10.48550/arxiv.1801.09145
openalex publication_date 2018/01/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper demonstrates the groundwork for the structure and nature of\nHuman-Robot Cognitive Coupling.The human mind is best at associating objects,\nwhile digital devices can only compare. Successful communication between robot\nand human agents involves translating human thought into unique numbers that\ncan be compared, and translating these numbers back into a form that humans can\nunderstand. A cognitive robot is one capable of interpreting its own\noperational data. Working from a D&D project standpoint with a telerobot, a\nsystem is designed to utilize sensor data, extract usable profiles and\ninformation from them, and then apply them as a means of self-testing for\nnominal/off-nominal operations. If operations are considered off-nominal, the\ntelerobot begins a sequence of recalling and comparing previous off-nominal\noccurrences to determine potential corrections. In this manner, a telerobot can\napply previous 'experiences' in order to learn without the need for operator\ninput. In the cognitive telerobotics, knowledge base is an important component\nto store required information. In this paper, a tool-centric knowledge base\nwith learning capability is presented. In this paper, the knowledge can be\nupdated based on the reinforcement learning algorithm at both global and local\nlevels and knowledge fusion by coupling with operator's cognition.\n