This paper demonstrates the groundwork for the structure and nature of Human-Robot Cognitive Coupling.The human mind is best at associating objects, while digital devices can only compare. Successful communication between robot and human agents involves translating human thought into unique numbers that can be compared, and translating these numbers back into a form that humans can understand. A cognitive robot is one capable of interpreting its own operational data. Working from a D&D project standpoint with a telerobot, a system is designed to utilize sensor data, extract usable profiles and information from them, and then apply them as a means of self-testing for nominal/off-nominal operations. If operations are considered off-nominal, the telerobot begins a sequence of recalling and comparing previous off-nominal occurrences to determine potential corrections. In this manner, a telerobot can apply previous 'experiences' in order to learn without the need for operator input. In the cognitive telerobotics, knowledge base is an important component to store required information. In this paper, a tool-centric knowledge base with learning capability is presented. In this paper, the knowledge can be updated based on the reinforcement learning algorithm at both global and local levels and knowledge fusion by coupling with operator's cognition.
Embodied Intelligence for Flexible Manufacturing: A Survey
National University of Defense Technology（中国人民解放军国防科技大学）；Wuhan University（武汉大学）；Shenzhen University（深圳大学）；Hunan University（湖南大学）；Shenyang Institute of Automation Chinese Academy of Sciences（中国科学院沈阳自动化研究所）
Motion Priority Optimization Framework towards Automated and Teleoperated Robot Cooperation in Industrial Recovery Scenarios
Industrial Cyber-Physical Systems Research Center at National Institute of Advanced Industrial Science and Technology (AIST)（日本国家先进工业科学技术研究院工业闭环系统研究中心）
On Fulfilling the Exigent Need for Automating and Modernizing Logistics Infrastructure in India: Enabling AI-based Integration, Digitalization, and Smart Automation of Industrial Parks and Robotic Warehouses
Applying Ontologies and Knowledge Augmented Large Language Models to Industrial Automation: A Decision-Making Guidance for Achieving Human-Robot Collaboration in Industry 5.0
