期刊文献+

工业机器人仿真与轨迹规划 被引量:2

Industrial Robot Simulation and Trajectory Planning
下载PDF
导出
摘要 目前工业机器人在各行各业中的应用越来越广泛,从最初只能应用到最简单的操作步骤中到现在精密仪器加工中的使用,工业机器人功能越来越强大,人类对其工作效率要求也越来越高,故工业机器人在轨迹规划与仿真方面仍有很大的发展空间,规划最合理的工作路径,不仅能够提高机器人工作的效率和准确性,令机器人迅速的完成既定任务,缩短任务时间,同时能够减轻机器人各关节的损耗,延长使用寿命及正常工作时间,提高其作业的稳定性。 At present, industrial robots are more and more widely used in all walks of life. From the initial application to the simplest operation steps then to the current use in precision instrument processing, the industrial ro- bots are becoming more and more powerful. The human beings are getting higher and higher for its work efficiency requirements. Therefore, industrial robots still have a lot of room for development in trajectory planning and simula- tion. Planning the most reasonable working path can not only improve the working efficiency of the robot but also enable the robot to accomplish the established tasks faster and reduce the task time, at the same time to reduce the robot's joint loss so as to extend its service life and normal working hours.
出处 《山西电子技术》 2018年第1期42-44,64,共4页 Shanxi Electronic Technology
关键词 工业机器人 技术精度 效率 仿真技术 轨迹规划 industrial robot technical accuracy efficiency simulation technology trajectory planning
  • 相关文献

参考文献2

二级参考文献12

  • 1CHOI Y K, PARK J H, KIM H S, et al. Optimal trajectory planning and sliding mode control for robots using evolution strategy[J]. Robotica, 2000, 18(8): 423-428.
  • 2LIN C S, CHANG P R, LUH J Y S. Formulation and optimization of cubic polynomial joint trajectories for industrial robots[J]. IEEE Trans. Automat. Contr., 1983, 28(12): 1 066-1 074.
  • 3GASPARETTO A, ZANOTTO V. A technique for time-jerk optimal planning of robot trajectories[J]. Robotics and Computer-Integrated Manufacturing, 2008, 24 (6): 415-426.
  • 4SHILLER Z. Time-energy optimal control of articulated systems with geometric path constraints[J]. Trans. ASME J. Dynam. Syst. Meas. Control, 1996, 118: 139-143.
  • 5SARAMAGO S F P, STEFFEN V J R. Optimization of the trajectory planning of robot manipulators taking into account the dynamics of the system[J]. Mech. Math. Theory, 1998, 33(7): 883-894.
  • 6SARAMAGO S F P, STEFFEN V J R. Optimal trajectory planning of robot manipulators in the presence of moving obstacles[J]. Mech. Math. Theory, 2000, 35(8): 1 079-1 094.
  • 7CHETTIBI T, LEHTIHET H E, HADDAD M, et al. Minimum cost trajectory planning for industrial robots[J]. European Journal of Mechanics A/Solids, 2004, 23(3): 703-715.
  • 8LUO X, FAN X P, ZHANG H, et al. Integrated optimization of trajectory planning for robot manipulators based on intensified evolutionary programming[C]//Proc. International Conference on Robotics and Biomimetics, Shenyang, China. Los Angeles: IEEE, 2004: 546-551.
  • 9PIAZZI A, VISIOLI A. Global minimum-time trajectory planning of mechanical manipulators using interval analysis[J]. Int. J. Control, 1998, 71(4): 631-652.
  • 10RUNARSSON T P, YAO X. Stochastic ranking for constrained evolutionary optimization[J]. IEEE Transactions on Evolutionary Computation, 2000, 4(9): 284-294.

共引文献143

同被引文献7

引证文献2

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部