Robotics & Machine Learning Daily News2024,Issue(Oct.8) :146-146.

Studies from Shandong University of Science and Technology Describe New Findings in Robotics (Research On Extreme Obstaclecrossing Performance and Multi-object ive Optimization of Tracked Mobile Robot)

Robotics & Machine Learning Daily News2024,Issue(Oct.8) :146-146.

Studies from Shandong University of Science and Technology Describe New Findings in Robotics (Research On Extreme Obstaclecrossing Performance and Multi-object ive Optimization of Tracked Mobile Robot)

扫码查看

Abstract

Research findings on Robotics are disc ussed in a new report. According to news reporting from Shandong, People's Repub lic of China, by NewsRx journalists, research stated, "Stability of obstacle-cro ssing and structural optimization are important issues in the research of tracke d mobile robots. In this paper, in order to fully understand the obstacle-surmou nting ability of the robot, the relationship between the position of the center of gravity and the posture of the front and rear swing arms is analyzed." Funders for this research include National Natural Science Foundation of China ( NSFC), Innovation capability improvement project of scientific and technological small and medium-sized enterprises of Shandong Province China, Science and Tech nology Innovation Development Project of Tai'an City Shandong Province China, De velopment Project of Tai'an City Shandong Province China.

Key words

Shandong/People's Republic of China/Asia/Emerging Technologies/Machine Learning/Nano-robot/Robot/Robotics/Shando ng University of Science and Technology

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文