107 resultados para wheeled mobile robot


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研究了不确定性环境下移动机器人躲避运动轨迹未知的移动障碍物的一种新方法.通过实时最小均方误差估计算法预测每个障碍物的位置及运动轨迹,并利用模式识别中最小均方误差分类器的修正模型计算出机器人的局部避障路径,再运用船舶导航中使用的操纵盘技术来确定每个导航周期中移动机器人的速.度仿真结果表明了该方法的可行性

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本文首先说明了体系结构研究的内容,研究体系结构的意义,以及当前几个典型的体系结构研究范例。然后较详细地介绍了开放式体系结构OSMOR及其在传感器处理方面的特点,并分别讨论了结构中各模块的功能及实现方法。

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本文以863-512型号项目为背景,从运动特性、运动描述、运动控制以及运动规划等几个方面研究履带式移动机器人的行动规划技术;首先从理论上分析了履带式移动机器人的内在运动传递机理,指出了其区别于轮式移动载体的独特的运动特性,尤其是在其转向特性方面,得出了履带式移动机器人运动角速度几乎不可控原理、原地转弯转不准问题、以及履带式车辆行动规划时所要遵循的规则等重要结论,针对履带式移动机器人的纵向运动控制问题,讨论了其速度控制模型,提出了一种速度测量与控制的简单、准确、可靠的方法。在磺向运动方面,提出了一种基于FM-LIKE和AM-LIKE相结合的复合控制技术,解决了难度较大的方向控制问题。最后提供了实验结果,证明了上述方法与结论的正确性。上述方法与结论,作为863-512某型号任务的一部分,业已通过验收。

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本文研究越野移动机器人驾驶专家系统等有关问题.首先介绍了系统的硬件支持环境,然后阐述了自动驾驶专家系统的总体结构,有关知识库的内容以及使用知识的各功能模块的作用与运行机理.该系统已部分得以应用,能够完全代替驾驶员完成各种驾驶操作,并能进行自主导航、运动规划、自动绕障、动态跟踪目标、原路返回以及示教再现等复杂任务。

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机器人行走空间的复杂性决定了导航监控系统不仅为机器人提供行走路线,还要依据预先得到的先验数据与知识告诉机器人不同行走段的障碍分布、环境边界走向及约束程度,按照载体的几何形状,运动特性选择合适的速度、加速度,保证在安全的前提下最快完成行走.本文讨论了提取影响机器人当前行走的障碍、环境边界算法和不同行走速度段的划分与关键点抽取方法,讨论了各种速度段的分离、合并、高速行走段的插补和过短行走段的平滑滤除等等.

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本文借助于数据溶合方法中的引导法构成的系统在移动式机器人定位中取得了令人满意的结果.本系统的特点是:用分布式黑板作为计算机构,使系统具有并行处理能力;把时间(时序)推理引入系统.在数据溶合中考虑了时间的重要作用.本文提出的溶合方法和结构原则上可用于其它相关的问题领域.

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文中重点讨论了系统实现过程中,任务分解与行走命令下达,时序分配与同步,路标定位与行走误差修正.动态障碍感知,测定与响应和特别情况紧急处理等难题的解决策略及遇到的问题.

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本文给出的结构基自由网格法综合了正规栅格法和自由空间法的基本思想,依环境的结构信息确定地解决自由空间分割过程中构造想象边界的任意性问题,由此消除了路径的不确定性;此外,结构基自由网格模型可以在一定程度上消除规划路径“绕大弯”的现象。

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本文给出了移动机器人的虚力导航和运动规划系统。这种方法结合最小方差估计算法(LMSE)和模糊控制方法能有效地对机器人进行实时导航和避撞。在预测过程中,根据导航的不同阶段和预测误差的变化情况,采用Fuzzy规则动态地调整误差函数中的权重,使得预测过程尽可能准确。本文导航算法的基本思想是首先通过预测算法来获得移动机器人的运动信息,然后虚力系统根据预测信息决定机器人的将来的运动,仿真结果表明该方法实时性好,能准确躲避障碍物并且到达目标点。

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The traditional monostable-bistable transition logic element (MOBILE) structure is usually composed of resonant tunneling diodes (RTD). This letter describes a new type MOBILE structure consisting of single-electron transistors (i.e. SET-MOBILE). The analytical model of single-electron transistors ( SET) has been considered three states (including an excited state) of the discrete quantum energy levels. The simulation results show negative differential conductance (NDC) characteristics in I-DS-V-DS curve. The SET-MOBILE utilizing NDC characteristics can successfully realize the basic logic functions as the RTD-MOBILE.

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This paper presents a novel robot named "TUT03-A" with expert systems, speech interaction, vision systems etc. based on remote-brained approach. The robot is designed to have the brain and body separated. There is a cerebellum in the body. The brain with the expert systems is in charge of decision and the cerebellum control motion of the body. The brain-body. interface has many kinds of structure. It enables a brain to control one or more cerebellums. The brain controls all modules in the system and coordinates their work. The framework of the robot allows us to carry out different kinds of robotics research in an environment that can be shared and inherited over generations. Then we discuss the path planning method for the robot based on ant colony algorithm. The mathematical model is established and the algorithm is achieved with the Starlogo simulating environment. The simulation result shows that it has strong robustness and eligible pathfinding efficiency.

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This article introduced an effective design method of robot called remote-brain, which is made the brain and body separated. It leaves the brain in the mother environment, by which we mean the environment in which the brain's software is developed, and talks with its body by wireless links. It also presents a real robot TUT06-B based on this method which has human-machine interaction, vision systems, manipulator etc. Then it discussed the path planning method for the robot based on ant colony algorithm in details, especially the Ant-cycle model. And it also analyzed the parameter of the algorithm which can affect the convergence. Finally, it gives the program flow chat of this algorithm.

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A mobile agent system model based on the servlet technology is presented, the constitution and working process of the system are analyzed. The implementation of key parts of this model and the current development situation as well as the development trend of mobile agent technology are introduced. The mobile agent system model enhances its internal structure recognition and facilitates the system expansion and reformation. The remotely mobile agent control method by means of the protocol modification is presented.