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一种用于求解机械手MTTP问题的新算法及其在PVR环境中提高投射式操作精度的应用(英文) 被引量:1

A New Algorithm for Solving MTTP of Robot Manipulators and its Application in Enhancing the Precision of Projective Operability in PVR Environment
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摘要 机械手的最小时间轨迹规划 ( MTTP)问题是机器人技术研究的一个重要方面 .由于该问题数学模型的非线性以及所对应机器人动力学上的强耦合性 ,使得该问题很难达到优化目标 .本文提出了求解 MTTP问题的一种新算法 ,即基于机器人运动学的加强型进化规划算法 ,通过数值分析和计算验证了算法的有效性 .同时 ,我们结合该优化算法设计了一种基于投射式虚拟现实 ( PVR)技术的图形仿真软件 .通过实际的仿真 ,我们发现 ,利用设计的仿真软件可有效地在虚拟世界中实现直觉性操作、控制和管理 。 The minimum time trajectory planning (MTTP) of robot manipulator plays an important role in the field of robotics. However, it is very difficult to reach the goal due to the nonlinearities in the mathematic model and the strong couplings in robot dynamics. Based on the intensified evolutional programming kinematic approach, the trajectory planning optimization is carried out with numerical analysis and computations. Meanwhile, a kind of graphic simulation software is developed by using the new optimal algorithm based on projective virtual reality (PVR) technology. The graphic simulation and experimental results show that the intuitive operability, control, and supervision can be realized effectively in the virtual world, and the precision of projective operability is greatly enhanced.
出处 《小型微型计算机系统》 CSCD 北大核心 2003年第2期161-168,共8页 Journal of Chinese Computer Systems
基金 The project is supported by the National Natural Science Foundation of China( No.69975 0 0 3)
关键词 机械手 MTTP问题 新算法 PVR环境 投射式操作精度 最小时间轨迹规划 进化规划 投射式虚拟现实 机器人 数学模型 minimum time trajectory planning and control (MTTPC) minimum time trajectory planning (MTTP) evolutionary programming (EP) projective virtual reality (PVR).
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  • 1Freund E, Rossmann J. Projective virtual reality: bridging the gap between virtual reality and robotics [J]. IEEE Transaction on Robotics and Automation, 1999, 15(3): 411-422.
  • 2Cai A, Fukuda T, Arai F, et al. Path planning and environment understanding based on distributed sensing in distributed autonomous robotic system [A]. Proceedings of the 4th International Workshop Advanced Motion Control (AMC'95-MIE) [C]. Mie University, Japan, 1996, 2: 699-704.
  • 3http://www.irf.de/cosimir.eng/vr/ProjektiveVR/ProjektiveVR.htm [EB/OL]
  • 4Gehani N, Jagadish H V, Smueli O. Event specification in an active object-oriented database [A]. Proceedings of the ACM-SIGMOD International Conference on Management of Data [C]. San Diego, CA, 1992: 81-90.
  • 5Goh A, Koh Y K, Domazet D S. ECA rule-based support for workflows [J]. Artificial Intelligence in Engineering, 2001, 15(1): 37-46.
  • 6Sousa J P, Garlan D. Formal modeling of the Enterprise JavaBeansTM component integration framework [J]. Information and Software Technology, 2001, 43(3): 171-188.
  • 7Lin C S, Chang P R, Luh J Y S. Formulation and Optimization of Cubic Polynomial Joint Trajectories for Industrial Robots [J]. IEEE Transaction on Automatic Control, 1983, AC-28(12): 1 066-1 074.
  • 8孟小峰.近年国内外数据库学术会议分析[J].计算机学报,2002,25(1):112-112. 被引量:4
  • 9罗熊,樊晓平.投射式虚拟现实的原理与实现及其在机器人控制中的应用[J].高技术通讯,2002,12(3):96-100. 被引量:4

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