Intelligent search and rescue robot design based on KANO model and TRIZ theory

This paper mainly focuses on the problems of low efficiency, complex scenarios and low intelligence faced in the process of disaster rescue, uses KANO model to predict the evolutionary direction and summarizes the design requirements, based on the final ideal solution, technical contradiction, physical contradiction, physical field analysis and more than forty invention principles in TRIZ theory innovation tools, the rescue mode, walking device and main control system of rescue robot, the power configuration, etc. The innovative design of an intelligent search and rescue robot for disaster rescue is proposed, the actual design evaluation survey and statistical analysis of the results are carried out, and the overall evaluation is carried out by the fuzzy comprehensive evaluation method to make a preliminary evaluation and propose improvements. The purpose is to achieve a rescue robot with high adaptability to rescue scenarios and efficient rescue, and to provide some reference value for future intelligent disaster rescue robot design.