首页|Data from Tianjin University of Technology and Education Provide New Insights in to Robotic Systems (An explicit solution of forward and inverse kinematics for a serial manipulator with insufficient intersection joints based on finite and .. .)
Data from Tianjin University of Technology and Education Provide New Insights in to Robotic Systems (An explicit solution of forward and inverse kinematics for a serial manipulator with insufficient intersection joints based on finite and .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on robotic systems a re discussed in a new report. According to news reporting from Tianjin, People’s Republic of China, by NewsRx journalists, research stated, “To satisfy the requ irements of large workspace, high capability, and low inertia demanded by the hi gh precision and high stiffness aerospace equipment, serial manipulator with ins ufficient intersection joints is proposed in this article based on finite and in stantaneous screw theory.” Our news journalists obtained a quote from the research from Tianjin University of Technology and Education: “Due to the specific topology structure with no int ersecting joints at both ends, the explicit solution of forward and inverse kine matics for the serial manipulator with insufficient intersection joints proposed in this article is extremely difficult. Therefore, an analytical method based o n finite and instantaneous screw theory is proposed for this serial manipulator, and the explicit kinematic solution is derived in this article. According to pa rticular calculation principle of finite and instantaneous screw theory, the fin ite motion of this serial manipulator is described. Based on this description, t he product of exponentials formula of the kinematics of the serial manipulator w ith insufficient intersection joints is established on the basic of finite and i nstantaneous screw theory for the first time, and a novel subproblem is arose du ring the decomposition of product of exponentials formula.”
Tianjin University of Technology and Edu cationTianjinPeople’s Republic of ChinaAsiaEmerging TechnologiesInvers e KinematicsMachine LearningRobotic SystemsRobotics
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