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One key for successful and fluent human-robot-collaboration in disassembly processes is equipping the robot system with higher autonomy and intelligence. In this paper, we present an informed software agent that controls the robot behavior to form an intelligent robot assistant for disassembly purposes. While the disassembly process first depends on the product structure, we inform the agent using a generic approach through product models. The product model is then transformed to a directed graph and used to build, share and define a coarse disassembly plan. To refine the workflow, we formulate "the problem of loosening a connection and the distribution of the work" as a search problem. The created detailed plan consists of a sequence of actions that are used to call, parametrize and execute robot programs for the fulfillment of the assistance. The aim of this research is to equip robot systems with knowledge and skills to allow them to be autonomous in the performance of their assistance to finally improve the ergonomics of disassembly workstations.
This study will describe how the robotics industry evolved increasingly and a new phase of advanced robotics has emerged, and the relation between humans and robots in the same workplace. Problems of designing safer robots in human-machine interaction systems are urgent research topics in the field of industrial robotics. Many of the problems in industrial robotics are related not just to technological issues, but also to human-robot collaboration also will be discussed as an effective method to tackle this issue is the invention of Collaborative robots.