首页|New Robotics Study Findings Have Been Reported by Investigators at Chinese Acade my of Sciences (Vision-based Docking System for an Aromatic-hydrocarbon-inspired Reconfigurable Robot)

New Robotics Study Findings Have Been Reported by Investigators at Chinese Acade my of Sciences (Vision-based Docking System for an Aromatic-hydrocarbon-inspired Reconfigurable Robot)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting originating from Shenyang, People's Republic of China, by NewsRx correspondents, research stated, "Aromatic hydroca rbons generally refer to compounds containing benzene rings. Many types of isome rs can be formed by replacing hydrogen atoms on the benzene ring." Financial supporters for this research include National Key R&D Pro gram of China, CAS Interdisciplinary Innovation Team, National Natural Science F oundation of China (NSFC). Our news editors obtained a quote from the research from the Chinese Academy of Sciences, "In this paper, an aromatic-hydrocarbon-inspired modular robot (AHIMR) is proposed. The robot can be reassembled into different configurations suitabl e for various task requirements. A vision-based docking system is designed for t he AHIMR. The system primarily consists of two stages: a remote guidance stage a nd a precise docking stage. During the remote guidance stage, an object module i s identified using an illumination adaptive target recognition algorithm, and th en the active module moves to the docking area through communication with ZigBee . In the precise docking stage, the active module calculates the relative pose w ith the object module using a perspective-n-point method and dynamically adjusts its posture to dock. In this process, a Kalman filter is used to reduce target occlusion and jitter interference. In addition, the docking system feasibility i s verified via several simulation experiments. The module docking accuracy is co ntrolled within 0.01 m, which meets the reconfiguration task requirements of the AHIMR."

ShenyangPeople's Republic of ChinaAs iaAromatic HydrocarbonsCyclic HydrocarbonsEmerging TechnologiesHydrocarb onsMachine LearningOrganic ChemicalsRobotRoboticsChinese Academy of Sc iences

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Jun.20)