首页|Guangdong University of Science and Technology Researcher Has Published New Stud y Findings on Robotics (Mechanical Structure Design of Wearable Assistive Robot Driven by ADAMS System)

Guangdong University of Science and Technology Researcher Has Published New Stud y Findings on Robotics (Mechanical Structure Design of Wearable Assistive Robot Driven by ADAMS System)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in robotics. According to news originating from Dongguan, People's Republic of Chin a, by NewsRx correspondents, research stated, "Currently wearable assistive robo t has been widely researched and applied in many fields. Aiming at the problems of difficult and time-consuming handling of goods, a wearable assistive robot us ing automatic dynamic analysis of mechanical systems is designed." Funders for this research include Guangdong University of Science And Technology Mechanical Design, Manufacturing And Automation Course Ideological And Politica l Demonstration Major. The news reporters obtained a quote from the research from Guangdong University of Science and Technology: "The robot is assisted by robot operating system. The robot uses robot operating system to assist the automatic dynamic analysis of m echanical systems system, and the mechanical structure of the robot is analyzed and designed. Then the robot structure is simulated and analyzed by the software to explore the practical application of the robot. The results of the study ind icated that the height of the robot's air drive affected the effectiveness of th e robot's application. The angle of the robot could reach 36.2° at 0mm height, 5 3.6° at 50mm and 66.7° at 100mm. At the same time, the maximum force of the robo t's stand could reach 191.5N. The amount of robot's assisting force varied in di fferent handling goods. The actual force applied by the robot varied in differen t arm positions. However, the actual structural design of the robot is in line w ith the actual application effect."

Guangdong University of Science and Tech nologyDongguanPeople's Republic of ChinaAsiaEmerging TechnologiesMachi ne LearningRobotRobotics

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.30)