基于能源消耗最小的自治水下机器人机械手系统协调运动研究

描述了自治水下机器人搭载的三功能水下电动机械手的设计．鉴于自治水下机器人—机械手系统是运动学冗余的且自带能源，因此将系统阻力优化函数引入逆运动学求解，设计了基于系统能源消耗最小的系统协调运动规划算法．仿真表明，该算法在解决系统冗余度的同时，有效地减小了系统能源消耗．     

基于能源消耗最小的自治水下机器人一机械手系统协调运动研究

描述了自治水下机器人搭载的三功能水下电动机械手的设计．鉴于自治水下机器人一机械手系统是运动学冗余的且自带能源，因此将系统阻力优化函数引入逆运动学求解，设计了基于系统能源消耗最小的系统协调运动规划算法．仿真表明，该算法在解决系统冗余度的同时，有效地减小了系统能源消耗．     

面向多机器人遥操作的分布式预测图形仿真系统

在遥操作机器人系统中,由于存在通信传输时延,可能导致控制系统不稳定,从而降 低遥操作的效率和安全性．目前多采用预测仿真的方法来克服．在多机器人遥操作系统不但 要克服时延的影响,还要能控制机器人协调地完成遥操作任务．我们开发了一个面向多操作 者 多机器人遥操作的分布式预测图形仿真系统,实现了对多机器人遥操作系统的预测仿真 ,多个操作者可以通过人机交互接口遥控各自的机器人,相互协调完成遥操作的任务．初步 的实验表明该系统能够克服时延的影响,并能实现多操作者 多机器人的协调遥操作．这对 空间站机器人科学实验、多航行器对接等方面的研究有理论参考价值．     

多机器人协调操作大型物体的运动学分析及应用

本文研究多机器人协调系统在大型圆筒型工件加工中的应用，提出了基于多个3自 由度移动机器人协调操作工件进行空间6自由度位姿调整系统的结构和协调方法．在刚体小 位移运动模型基础上，建立了系统的运动模型以及逆运动学算法，并给出了满足实时运动规 划的简化算法．最后，通过实例对该算法进行了说明．     

微型全方位移动机器人的研制

本文介绍了采用2毫米电磁型微马达作为驱动器的移动微型机器人．其整体尺寸为10mm×6mm ×5mm．作为微型机器人的核心部件,微马达采用电磁型轴向磁通结构以获得较大的输出力 矩．该马达的设计创新还在于其控制上可以在不同的阶段采用同步电机和步进电机两种 控制方式．微型机器人的控制器通过超细直径的柔性导线与机械结构相连,创新的结构设计 使得机器人的转弯半径非常小,将导线连接的影响降至极小．通过算法可以控制该机器人前 进、后退、灵活转弯．本文详细论述了该微机器人的设计、制作、结构部件和性能．     

一种新型仿生微型机器人的无缆测控系统

设计了一套基于磁场和射频信号的测控系统,用于实现仿趋磁细菌微型机器人的无缆操控及其运行参 数的检测．测控系统包括微型机器人的位姿检测子系统和微型机器人控制子系统．检测子系统中,磁传感器阵列实 时检测磁场信号,经过数据处理后获得微型机器人的状态信息,并与视频跟踪结果进行对照;控制子系统中,通过 射频发射的PWM 信号控制微型机器人的运动速度,同时通过导向磁场控制微型机器人的运动姿态．利用本系统, 实验研究了微型机器人的90± 转向运动,结果表明该系统能够有效控制微型机器人的运动.     

一种基于效益的多机器人避碰协调策略

多移动机器人系统在完成同时定位和地图构建SLAM任务时,机器人之间常常存在相互碰撞的问题,而这种碰撞的避免又不同于一般的避障,因为避障问题中的障碍物一般是不动的。为了解决机器人之间的避碰问题,提出了一种基于效益的多机器人避碰协调策略。该策略以提高多机器人系统探索效率为主,确定机器人通过交叉路口的顺序。同时考虑了动态协调避碰的情况,给出了确定机器人通过交叉路口顺序的算法。通过机器人在交叉路口实现避碰协调算法的仿真示例,对该方法的避碰协调过程进行了说明,并对仿真结果进行了分析,同时对仿真中机器人和目标位置的空间关系给出了合理的假设。     

面向装配作业的多机器人合作协调系统

分布、自主、协调与合作是多机器人系统的发展趋势 ．本文作者在研究易于协调合作的多机器人系统的基础上,采用分层递阶和多Agent概念, 构造了一个装配系统——MROCAS系统．该系统具有任务自动建模分解,快速重组、良好柔性 、友好人机界面,各机器人具有一定自主能力等特点．它实现了在较复杂环境下快速完成装 配作业．     

具有环境自适应能力的多机器人编队系统研究

对多机器人的体系结构进行了研究.采用时空表和时间控制器相结合的方法，解决多机器人间的协调协作问题.针对编队问题的具体特性，提出了基于环境的记忆学习方法，使多机器人编队系统具有较强的环境自适应能力.最后,通过仿真实验实现了整个多机器人系统,进一步验证了各个算法的可行性和有效性.􀁱     

基于环境预测的步进式运动协调策略

为了解决未知动态环境下的多机器人系统的路径规划问题,在改进的势场栅格法的基础上,提出了一种基于环境预测的步进式多机器人运动协调策略。针对机器人躲避移动障碍物的避障运动和机器人之间避碰运动的不同,分别提出了协调策略Ⅰ和协调策略Ⅱ。为了验证协调策略的有效性,将该方法用于多机器人系统的路径规划中,并利用Visual C++进行仿真。仿真结果表明,用该方法进行路径规划是可行的和有效的,并且算法简单、计算量小。     

Novel electromagnetic actuation (EMA) method for 3-dimensional locomotion of intravascular microrobot

A new electromagnetic actuation (EMA) method is proposed for 3-dimensional locomotion of a microrobot. Generally, the EMA system uses Helmholtz coils and Maxwell coils. The Helmholtz coil pair generates a uniform magnetic flux density and the Maxwell coil pair generates a uniform gradient magnetic flux. The microrobot can be aligned to the desired direction by the Helmholtz coils and then, be propelled in the aligned direction by the Maxwell coils. However, many previous EMA systems have been restricted to 2-dimensional planar actuation. The EMA system proposed in this paper consists of a pair of stationary Helmholtz–Maxwell coils and a pair of rotational Helmholtz–Maxwell coils. This new EMA system can manipulate a microrobot in 3-dimensional space. For accurate actuation of a microrobot, the gravitational force, which influences the motion of microrobot, has to be analyzed and compensated. Through various experiments, the performance of the proposed EMA system was evaluated. Finally, a microrobot was test-driven in a blood vessel phantom, and the result of the test drive verified the feasibility of 3-dimensional motion of a microrobot by the new EMA system.     

A distributed market-based boundary coverage algorithm for multiple microrobots with network connectivity maintenance

In this paper, the boundary coverage of known environments is investigated using multiple microrobots (MMR) involved in a distributed inspection case study. A strong need for an operator is able to control and receive feedback from microrobots. However, communication range is limited because of the size effect of microrobot, and obstacles may also prevent microrobots from communicating. To enable MMR to accomplish coverage task while maintaining the network connectivity with a base station, we propose a market-based boundary coverage algorithm. This algorithm can dynamically allocate the boundary coverage task to a microrobot, so as to adapt to the change of communication network topology. A motion control model based on virtual spring–damper system is established to prevent communication network splitting by monitoring infrared link quantity information among microrobot nodes. Simulations and experimental results, obtained using our MMR tested in a distributed inspection case study, demonstrate that the proposed solution fulfills the objective of maintaining network connectivity at all times while completing the allocated boundary coverage task.     

Genetic algorithms (GAs) to evolve multiple-agent cooperative systems

In this paper, a microrobot soccer-playing game, such as that of MIROSOT (Microrobot World Cup Soccer Tournament), is adopted as a standard test bed for research on multiple-agent cooperative systems. It is considerably complex and requires expertise in several difficult research topics, such as mobile microrobot design, motor control, sensor technology, intelligent strategy planning, etc., to build up a complete system to play the game. In addition, because it is an antagonistic game, it appears ideal to test whether one method is better than other. To date there have been two different kinds of architecture for building such system. One is called vision-based or centralized architecture, and the other is known as robot-based or decentralized architecture. The main difference between them lies in whether there exists a host computer system which responds to data processing and strategy planning, and a global vision system which can view the whole playground and transfer the environment information to the host computer in real time. We believe that the decentralized approach is more advanced, but in the preliminary step of our study, we used the centralized approach because it can lighten any overload of the microrobot design. In this paper, a simplified layer model of the multiple-agent cooperative system is first proposed. Based on such a model, a system for a microrobot soccer-playing game is organized. At the same time a simple genetic algorithm (SGA) is used for the autonomous evolution of cooperative behavior among microrobots. Finally, a computer simulation system is introduced and some simulated results are explained. This work was presented, in part, at the Third International Symposium on Artificial Life and Robotics, Oita, Japan, January 19–21, 1998.     

Insect-type MEMS microrobot with mountable bare chip IC of artificial neural networks

This paper discussed insect-type MEMS microrobot system which could locomote without using computer programs. Locomotion of the MEMS microrobot was generated using the analog circuit of artificial neural networks. We constructed the artificial neural networks as a bare chip integrated circuit (IC) which could mount on top of the MEMS microrobot. As a result, the MEMS microrobot system could perform the locomotion using constructed bare chip IC of artificial neural networks. The insect-type MEMS microrobot system was 0.079 g in weight and less than 5.0 mm in size. Only the power source was outside of the robot. In addition, we analyze the heat conduction of the shape memory alloy-type actuator. It was shown that the heat of shape memory alloy conducts to the mechanical parts of the MEMS microrobot; therefore, locomotion becomes slowly after 30 s. The slow locomotion was 2 mm/min. We constructed the less conduction shape memory alloy-type actuator. The locomotion speed of the insect-type MEMS microrobot using less conduction shape memory alloy-type actuator was 90.8 mm/min.     

Enhanced locomotive and drilling microrobot using precessional and gradient magnetic field

We propose a new electromagnetic actuation (EMA) system for an intravascular microrobot with steering, locomotion and drilling functions. The EMA system consists of 3 pairs of Helmholtz coil and 1 pair of Maxwell coil. Generally, Helmholtz coils can align a microrobot in a desired direction by generating a uniform magnetic flux. If the uniform magnetic field generated by Helmholtz coils can be rotated, a microrobot with Helmholtz coils can also be rotated. On the other hand, a Maxwell coil, which generates a constant gradient magnetic flux, can supply the propulsion force for the microrobot. A microrobot actuated by the proposed EMA system has a spiral shaped body containing two magnets with different magnetization directions. With the proposed EMA system, the microrobot can move to the target region and perform drilling there by the precessional magnetic field of the Helmholtz coil pairs. The propulsion force for the microrobot is produced by the gradient magnetic field generated by the Maxwell coil pair. The moving velocity and the drilling performance of the microrobot can be increased by the propulsion force of the Maxwell coil pair. Through various tests, the feasibility and enhancement of the microrobot actuated by the proposed EMA system were verified.     

Automatic pick-and-place using a magnetically navigated microrobot and a motorized micromanipulator

This paper demonstrates the automatic pick-and-place of a small object in 2D using a magnetically navigated microrobot (MNM) and a motorized micromanipulator (MM). A master/slave control mechanism is used in the manipulation process. The MM is the master manipulator. The MNM is the slave manipulator. To avoid damaging the object by large holding force and to maintain successful holding, a position-based impedance control algorithm is implemented to the slave side. The feedback force to the impedance controller is obtained from an off-board force determination mechanism which overcomes the disadvantages of installing an on-board force sensor on the MNM. The performance of the proposed manipulation system was examined experimentally by transporting a hard-shell object to its desired destinations with predefined holding force. To the authors knowledge, this is the first work reported using a magnetically navigated microrobot to complete manipulation tasks with a screw type manipulator. The proposed system has potential utility in microinjection if the MNM was scaled down to proper size.

     

毫米级全方位移动微型装配机器人设计、运动学分析与控制

介绍了一种用于微型工厂的毫米级移动微装配机器人,其具有独特的全方位运动结构．微机器人由4个直径3 mm的电磁微马达驱动,并装备有一对微型夹钳．通过分析运动学矩阵的秩,证明了微机器人的全方位特性,并建立了微夹钳的运动学方程．设计了基于计算机视觉的微机器人控制系统,给出了微机器人定位和驱动方法．实验证明了微机器人的负载能力、机动性以及控制系统的有效性．     

SMA驱动的微型平面关节机器人的研究

近年来，利用形状记忆合金（ＳＭＡ）的形状记忆效应原理制作的驱动器已在机器人领域中得到应用，ＳＭＡ驱动器以其重量轻、结构紧凑、易控制等优点，大大推动了微型机器人的发展．本课题使用所研制的推挽式直线位移型和旋转关节型ＳＭＡ驱动器代替传统的伺服驱动系统，研制了一台三自由度（两个旋转自由度和一个直线自由度）且带末端夹持器的微型平面关节机器人．本文将介绍该机器人的结构设计，控制系统及其软件设计．     

Design of a vision-guided microrobotic colonoscopy system

In this paper presents a novel design of a microrobotic colonoscopy (MRC) system. The proposed microrobotic colonoscope is an autonomous vision-guided device, which is designed to navigate inside a human colon for the purpose of observation, analysis and diagnosis. It is developed to alleviate the shortcomings in the existing manual colonoscopy procedure, which is generally cumbersome and tedious for the colonoscopist and painful to the patients. The MRC system is divided into three areas, i.e. design of the microrobotic device, path planning and guidance, and offboard control system. A novel design of the microrobot is presented which utilizes a pneumatic mechanism to achieve locomotion and steering. A new concept of clamping the colon wall based on passive vacuum devices is suggested. General mathematical analysis governing the differential steering of the robotic tip is also described. The path planning of the microrobot is carried out based on the sensory fusion utilizing the quantitative parameters derived from the captured images and the tactile sensors. An off-board control system to control the directional movements of the microrobot is explained. The proposed colonoscopy system was tested with physical models and animal colons, and the experimental observations are presented.     

新型仿生水下子母机器人系统设计

传统的水下子母机器人在水下作业时母机器人会有噪音大、体积大和隐蔽性差的缺点,而且子机器人作为提高水下机器人位置精度和续航时间的重要手段大多采用尾部摆动、机身两侧划水、小型螺旋桨推进等方式,造成运动过程中稳定性差、噪音大而且尺寸难以微型化的缺点.为了克服这些不足,设计一种新型仿生水下子母机器人系统.该系统球形母机器人采用喷水电机进行喷水推进,减少噪音,增加隐蔽性,并为微型子机器人提供控制信号和能源.微型子机器人以樽海鞘为原型基于仿生原理设计,在水下运动透明度高、隐蔽性强、稳定性高.建立球形母机器人的喷水推进器和微型子机器人的微型驱动器的驱动力计算模型,同时建立微型子机器人的水下转向模型.最后制作子母机器人样机并进行子母机器人的水下运动实验,以验证所设计的子母机器人系统的有效性.