Multimodal Control Experimental Design of Quadruped Robot Based on Natural Language Voice Interaction
Aiming at the human-computer interaction problems in the multi-mode motion of quadruped robots,such as omnidirectional locomotion control,gait and behavior switching,personnel following,and autonomous navigation,a quadruped robot interactive control system based on speech recognition and command parsing is designed.The hardware components of the quadruped robot's voice interaction system are clarified,and an interactive module including voice collection,recognition,analysis,and broadcasting is built.A voice recognition algorithm is designed based on the SOFM network.A communication and interaction mechanism between the voice module and the robot locomotion control module is established based on ROS.The system realizes the issuance of voice commands and the broadcasting and feedback of robot status information.Through a series of quadruped robot voice interaction control experiments,it is verified that the robot's voice recognition accuracy is higher than 85%in dynamic scenes,and higher than 95%in static scenes,ensuring accurate locomotion control of the quadruped robot in different motion modes.
quadruped robotspeech interactionneural networklocomotion control
万方数据
维普
