首页|New Findings from School of Mechanical Engineering and Automation Describe Advan ces in Robotics and Automation (Bionic Bird Claw Design for Grabbing and Perchin g Inspired By Tendon-locking Mechanism)

New Findings from School of Mechanical Engineering and Automation Describe Advan ces in Robotics and Automation (Bionic Bird Claw Design for Grabbing and Perchin g Inspired By Tendon-locking Mechanism)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics-Ro botics and Automation have been published. According to news reporting out of Be ijing, People's Republic of China, by NewsRx editors, research stated, "This let ter proposes a novel bionic bird claw with a digit-locking mechanism inspired by atendon-locking mechanism (TLM). First, the biological mechanisms of both the bird digit-locked TLM (tendon locking) and the leg automatic digit flexion mecha nism (ADFM) (quick digit flexion) of birds are introduced." Funders for this research include National Key R&D Program of China , National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from the School of Mecha nical Engineering and Automation, "Then, a digit-locking mechanism that locks th e flexion tendon on the digit based on the TLM is proposed, requiring only aten sioned cable to unlock the digit. A parallelogram fold leg mechanism is designed based on the ADFM to drive the digit's flexion and locking motions. The digit l ocking and unlocking statics, the claw's gripping range, and the gripping force were analyzed. Finally, a prototype is developed, and several experiments are co nducted to measure digit locking and unlocking force, digit loading, claw grippi ng range, claw loading capability, and multi-angle dive grabbing of the claw. Th e load-to-weight ratio of the claw is 45.0-87.6. Moreover, the success rate of c law-grasping branches is found to reach 95${\ %}$."

BeijingPeople's Republic of ChinaAsi aRobotics and AutomationRoboticsSchool of Mechanical Engineering and Autom ation

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Sep.10)