期刊文献+

多足球机器人视觉躲避相撞算法的仿真分析 被引量:2

Simulation Analysis of Many Soccer Robot Visual Avoid Collision Algorithm
下载PDF
导出
摘要 在机器人足球比赛中,比赛过程对抗性激烈,需要机器人在运动状态下完成障碍物的躲避,但是当前的多机器人时间配合任务中,对避障的要求往往都是单一的,静态的障碍物,对运动中的同视觉机器人壁障效果不好。为了解决这一问题,提出一种基于多传感器运动信息约束规划的机器人视觉避障技术,采取信号采样技术采集多路机器人信号,采用射线追踪算法和内建的相撞检测机制,对足球机器人实际的不同路状下进行障碍躲避。实验证明该方法具有很好的鲁棒性与有效性。 In robot soccer game, the game process antagonistic fierce, need the robot motion state of complete obstruction from, but the current robot with task, time for obstacle avoidance requirements often are single, static obstacles, the mo-tion of the robot with visual barrie result is bad. In order to solve this problem, the paper proposes a kind of based on multi-sensor motion information constrained programming of the robot visual obstacle avoidance technology, take signal sampling technology acquisition multiple robots signal, the use of the ray tracing algorithm and built-in collision detec-tion mechanism, to soccer robot actual different road shape from the obstacle. Results show that this method has good ro-bustness and effectiveness.
出处 《科技通报》 北大核心 2014年第2期227-229,共3页 Bulletin of Science and Technology
关键词 机器人避障 超声波 射线追踪算法 information fusion robot obstacle avoidance ultrasonic fuzzy control
  • 相关文献

参考文献5

二级参考文献60

  • 1王华朋,裴承鸣,钟雄虎,李少伟.基于模糊卡尔曼滤波的信息融合算法[J].计算机测量与控制,2006,14(9):1230-1232. 被引量:10
  • 2Samer W G V, Saab S and Mickle M H. Learning control algorithms for tracking slowly varying trajectories [J]. IEEE Trans. on System, Man and Cybernetics, 1997,27 : 657-670.
  • 3Arif M,Ishihara T, and Inooka H. Incorporation of Experience in Iterative Learning Controllers Using Locally Weighted Learning [J]. Automatiea,2001,37:881-888.
  • 4Xu J X and Xu J. On Iterative Learning From Different Tracking Tasks in The Presence of Time-varying Uncertainties [J]. IEEE Trans. on System,Man,Cybernetics, 2004,33:589-597.
  • 5XU J X. Direct Learning of Control Efforts For Trajectories With Different Magnitude Scales [J]. Automatica, 1997,33(12) :2191-2195.
  • 6XU J X. Direct Learning of Control Efforts For Trajectories With Different Time Scales [J]. IEEE Trans. on Automatic Control, 1998,43 (7) : 1027-1030.
  • 7张茁生.刘贵忠.非平稳信号自适应表示的理论、算法及应用[M].西安:西安交通大学,2001.
  • 8Sanner M and Slotine J. Gaussian Networks For Direct Adaptive Control [J]. IEEE Trans. on Neural Networks, 1992,3 (6) : 837-863.
  • 9Sanner M and Slotine J. Stable Adaptive Control and Reeursive Identification Using Radial Gaussian Networks [C]//Proc. of the 30th Conference on Decision and Control. Brighton, England, 1991:2116-2123.
  • 10James G. Bellingham, Kanna Rajan. Robotics in Remote and Hos- tile Environments [J]. Science, 2007, 318: 1098- 1102.

共引文献156

同被引文献18

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