期刊文献+

基于黑板模型的排球机器人动作规划 被引量:2

On Trajectory Planning of a Volleyball Robot Based on Blackboard Model
下载PDF
导出
摘要 基于黑板模型设计了排球机器人动作规划框架,并将动作规划中的各个子任务定义为智能体。由黑板激活相应的智能体进行子任务求解,从而完成排球机器人的击球动作规划问题。此外,考虑到排球任务的特点,以机械臂的可操作度作为评价函数,选取最优的机械臂构形。最后,采用MatlabSimulink对平面3连杆机械臂的击球问题进行了仿真研究,得到满足可操作度指标下的最优击球动作。该仿真的实现过程体现了基于黑板模型及多智能体技术的思想。 We design a motion planning frame for the volleyball robot task based on blackboard model, and refer each subtask as an agent. The problem of motion planning is settled by the solution of each subtask activated by blackboard. Besides, the optimal posture of the manipulator in its feasible motion set is chosen by computing the manipulability measure of the manipulator, which differs from the motion planning of other ball-playing robots. The simulation of a 3-link planar manipulator hitting ball task is implemented using Matlab Simulink and obtains the optimal hitting motion subject to manipulability measure. The simulation also illustrates the idea of motion planning based on blackboard and multi-agent technique.
出处 《机械科学与技术》 CSCD 北大核心 2005年第5期581-583,630,共4页 Mechanical Science and Technology for Aerospace Engineering
关键词 黑板模型 智能体 操作能力度量 动作规划 排球机器人 Blackboard Agent Manipulability measure Motion plan Volleyball robot
  • 相关文献

参考文献9

  • 1罗翔,沈洁,颜景平.基于多智能体的视觉反馈冗余度机器人实时运动规划[J].制造业自动化,2002,24(3):41-43. 被引量:3
  • 2Burridge R, et al. Sequential composition of dynamically dextrous robot behavious [ J]. International .Journal of Robotics Research, 1999,18 (6) :534 - 555.
  • 3Andresson R L. A Robot Ping-Pong Player[M]. Cambridge:MIT Press, 1988.
  • 4Miyazaki M, et al. Realization of the table tennis task based on virtual target [ A ]. Proceedings of the 2002 IEEE International Conference on Robotics & Automation[ C ], 2002.
  • 5芮庆,胡宗武,宫崎文夫.用LWR学习进行乒乓球轨道预测的仿真研究[J].机器人,1998,20(5):373-377. 被引量:13
  • 6Hujic D, et al. An active prediction, planning and execution system for interception of moving objects [ A ]. Proceedings of the 1995 IEEE International Symposium on Assembly and Task Planning[ C], 1995.
  • 7Ramanantsoa M, et al. Towards a stroke construction model [J].International Journal of Table Tennis Sciences, 1994,(2).
  • 8Watanabe H, et al. Vision based motion control for a hitting task[A]. Proceedings of the 1994 IEEE International Conference on Intelligent Robots and Systems[C ], 1994.
  • 9Yoshikawa T. Manipulability of robotic mechanisms [J]. International Journal of Robotics Research, 1985, 4 (2) : 3 - 9.

共引文献14

同被引文献33

  • 1张培艳,吕恬生,宋立博.基于案例学习的排球机器人运动规划及其支持向量回归实现[J].上海交通大学学报,2006,40(3):461-465. 被引量:1
  • 2彭博,洪永潮,杜森森,韦巍.乒乓球机器人击打点的预测方法[J].江南大学学报(自然科学版),2007,6(4):433-437. 被引量:14
  • 3ZHANG Z, XU D, YU J. Reseach and latest development of ping- pong robot player [C]//Proceedings of the 7th World Congress on Intelligent Control and Automation. Chongqing: IEEE, 2008:4881 - 4886.
  • 4ANDERSSON R L. A Robot Ping-Pong Player." Experiment in Real Tifne Intelligent ContrOl [M]. Cambridge, CA: MIT Press, 1988.
  • 5ANDERSSON R L. Aggressive trajectory generator for a robot ping- pong player [J]. IEEE Control Systems Magazine, 1989, 9(2): 15 - 21.
  • 6ACOSTA L, RODRIGO J, MENDEZ J A, et al. Ping-pong player prototype, a PC-based, low-cost, ping pong robot [J]. 1EEE Robotics and Automation Magazine, 2003, 10(4): 44- 52.
  • 7MATSUSHIMA M, HASHIMOTO T, TAKEUCHI M, et al. A learn- ing approach to robotic table tennis robotics [J]. IEEE Transactions on Robotics and Automation, 2005, 21 (4): 767 - 771.
  • 8MATSUSHIMA M, HASHIMOTO T, MIYAZAKI E Learnig to the robot table tennis task-ball control and rally with a human [C]//Pro-ceedings of IEEE Conference on Systems, Man and Cybernetics. Washington D C, USA: IEEE, 2003:2962 - 2969.
  • 9MIYAZAKI F, MATSUSHIMA M, TAKEUCHI M, Learning to dy- namically manipulate: a table tennis robot controls a ball and rallies with a human being [M] //Advances in Robot Control. Berlin, Ger- many: Springer Berlin Heidelberg, 2006.
  • 10ZHANG Z, XU D, TAN M. Visual mearurement and prediction of ball trajectory for table tennis robot [J]. IEEE Transactions on Instru- mentation and Measurement, 2010, 59(12): 3195 - 3205.

引证文献2

二级引证文献8

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