Robotics & Machine Learning Daily News2024,Issue(Feb.5) :56-56.DOI:10.1177/09544062231224967

Reports from Northeastern University Add New Data to Research in Robotics (Research on kinematics modeling and path planning of a hyper-redundant continuum robot)

Robotics & Machine Learning Daily News2024,Issue(Feb.5) :56-56.DOI:10.1177/09544062231224967

Reports from Northeastern University Add New Data to Research in Robotics (Research on kinematics modeling and path planning of a hyper-redundant continuum robot)

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Abstract

New study results on robotics have been published. According to news reporting out of Shenyang, People's Republic of China, by NewsRx editors, research stated, “It has always been the case that work in confined spaces has high difficulty and complexity, and robots are usually required to replace humans to perform the corresponding operations.” The news correspondents obtained a quote from the research from Northeastern University: “For the maintenance work in the fuel tank of a certain type of aircraft, a continuum robot with 32 staggered orthogonal joints is designed in this paper. To solve the motion problem of this robot, this paper combines the end-following method with the Jacobi inverse kinematics method, and proposes an end-following- segmented Jacobi method, which improves the accuracy and efficiency of the inverse kinematics solution. A ray path-planning algorithm for continuum robots is proposed for the job requirements of this robot and the specific operating environment inside an airplane fuel tank, and it is compared with the rapidly-exploring random trees (RRT) algorithm and particle swarm optimization (PSO) algorithm."

Key words

Northeastern University/Shenyang/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Inverse Kinematics/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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