首页|New Data from China University of Mining and Technology Illuminate Research in R obotics (Kinematics Analysis and Trajectory Planning of 6-DOF Hydraulic Robotic Arm in Driving Side Pile)
New Data from China University of Mining and Technology Illuminate Research in R obotics (Kinematics Analysis and Trajectory Planning of 6-DOF Hydraulic Robotic Arm in Driving Side Pile)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on robotics have been publi shed. According to news reporting originating from Xuzhou,People's Republic of China,by NewsRx correspondents,research stated,"Given the difficulty in manua lly adjusting the position and posture of the pile body during the pile driving process,the improved Denavit-Hartenberg (D-H) parameter method is used to estab lish the kinematics equation of the mechanical arm,based on the motion characte ristics of each mechanism of the mechanical arm of the pile driver,and forward and inverse kinematics analysis is carried out to solve the equation." Funders for this research include Jiangsu Province Natural Science Fund; Chinese Postdoctoral Science Foundation; National Natural Science Foundation of China. The news correspondents obtained a quote from the research from China University of Mining and Technology: "The mechanical arm of the pile driver is modeled and simulated using the Robotics Toolbox of MATLAB to verify the proposed kinematic s model of the mechanical arm of the pile driver. The Monte Carlo method is used to investigate the working space of the mechanical arm of the pile driver,reve aling that the arm can extend from the nearest point by 900 mm to the furthest e xtension of 1800 mm. The actuator's lowest point allows for a descent of 1000 mm and an ascent of up to 1500 mm. A novel multi-strategy grey wolf optimizer (GWO ) algorithm is proposed for robotic arm three-dimensional (3D) path planning,su ccessfully outperforming the basic GWO,ant colony algorithm (ACA),genetic algo rithm (GA),and artificial fish swarm algorithm (AFSA) in simulation experiments ."
China University of Mining and Technolog yXuzhouPeople's Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningRoboticsRobots
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