Review of Human Posture Recognition and Collision Avoidance Strategies in Complex Human-Robot Collaboration Scenarios
The integration of intelligent robots and human intelligence,that is,human-machine collaborative integration,has realized that the mechanical advantages of robots and the advanced cognitive abilities of humans are concentrated in the same working framework,and can work cooperatively in complex environments,thereby improving efficiency.Aiming at complex human-machine interaction scenarios,especially robots in light condition changes,background interference and motion processes,human posture recognition methods based on machine vision and collision avoidance strategies based on machine learning were compared and summarized,the research status and application of various methods were compared in detail,and the development and application of object recognition and collision avoidance methods were discussed based on deep learning.
万方数据
维普
