首页|Recent Findings in Robotics Described by Researchers from Zhejiang Science Techn ical University (Autonomous Gait Switching Method and Experiments of a Hexapod W alking Robot for Mars Environment With Multiple Terrains)
Recent Findings in Robotics Described by Researchers from Zhejiang Science Techn ical University (Autonomous Gait Switching Method and Experiments of a Hexapod W alking Robot for Mars Environment With Multiple Terrains)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics.According to news reporting out of Hangzhou,People's Republic of China,by NewsRx editors,research stated,"Mars exploration significantly advances ou r understanding of planetary evolution,the origin of life,and possibilities fo r Earth's future.It also holds potential for discovering new mineral resources,energy sources,and potential settlement sites." Financial support for this research came from Natural Science Foundation of Zhej iang Province.Our news journalists obtained a quote from the research from Zhejiang Science Te chnical University,"Navigating Mars' complex environment and unknown terrain is a formidable challenge,particularly for autonomous exploration.The hexapod wa lking robot,inspired by ant morphology,emerges as a robust solution.This desi gn offers diverse gait options,mechanical redundancy,high fault tolerance,and stability,rendering it well suited for Martian terrain.This paper details the development of an ant-inspired hexapod robot,emphasizing its terrain adaptabil ity on Mars.A novel terrain detection method utilizing a convolutional neural n etwork enables efficient identification of varied terrain types through semantic segmentation of visual images.Additionally,we introduce a comprehensive motio n performance evaluation index for the hexapod robot,including speed and stabil ity.These metrics facilitate effective performance assessment in different envi ronments.A key innovation is the proposed gait switching method for the hexapod robot.This approach allows seamless transition between gaits while in motion,enhancing the robot's ability to traverse challenging terrains.The experimental results validate the effectiveness of this method.Utilizing gait switching lea ds to a significant improvement in robot performance and stability-58.5 % and 41.4% better than using tripod and amble gaits,respectively.Compared to single tripod,amble,and wave gaits,the comprehensive motion perfo rmance indices of the robot improved by 36.3%,30.6%,and 41.1%,respectively.This study can provide new ideas and metho ds for the motion evaluation and adaptive gait switching of multilegged robots i n complex terrains."
HangzhouPeople's Republic of ChinaAs iaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsZhejia ng Science Technical University
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