COLLISION-FREE OF MULTI-ROBOT SYSTEMS IN VIRTUAL ENVIRONMENT

IntroductionWith the development of automation and con-trol technology,on car- body plant,at present,consideration of multi- robot systems has become abasic requirement. With the help of multi- robotsystems,we can shorten production time,improveproduction quality and quantity,and decrease pro-duction error rate. Buthow multi- robots can coop-erate with each other,especially on welding pro-duction line for car- body,is what we concernabout the most.We hope to find a good way toplan out paths fo…     

Dynamic Obstacle Avoidance for Application of Human-Robot Cooperative Dispensing Medicines

For safety reasons,in the automated dispensing medicines process,robots and humans cooperate to accomplish the task of drug sorting and distribution.In this dynamic unstructured environment,such as a human-robot collaboration scenario,the safety of human,robot,and equipment in the environment is paramount.In this work,a practical and effective robot motion planning method is proposed for dynamic unstructured environments.To figure out the problems of blind zones of single depth sensor and dynamic obstacle avoidance,we first propose a method for establishing offline mapping and online fusion of multi-sensor depth images and 3D grids of the robot workspace,which is used to determine the occupation states of the 3D grids occluded by robots and obstacles and to conduct real-time estimation of the minimum distance between the robot and obstacles.Then,based on the reactive control method,the attractive and repulsive forces are calculated and transformed into robot joint velocities to avoid obstacles in real time.Finally,the robot's dynamic obstacle avoidance ability is evaluated on an experimental platform with a UR5 robot and two KinectV2 RGB-D sensors,and the effectiveness of the proposed method is verified.     

基于DELTA机构的堆垛机器人

介绍了一种基于ＤＥＬＴＡ机器人机构的堆垛机器人设计,这种堆垛机器人和同等规格的串联机器人相比,具有高刚度,高精度和低机动质量等特点,适合于高速堆垛及搬运等操作。此设计还具有其他一些潜在应用,讨论了ＤＥＬＴＡ机构的奇异形位和运动学逆解等。     

Distributed cooperative coverage of mobile robots with consensus-based connectivity estimation

This paper deals with the discrete-time connected coverage problem with the constraint that only local information can be utilized for each robot. In such distributed framework, globM connectivity characterized by the second smallest eigenvalue of topology Laplacian is estimated through introducing distributed minimal- time consensus algorithm and power iteration algorithm. A self-deployment algorithm is developed to disperse the robots with the precondition that the estimated second smallest eigenvalue is positive at each time-step. Since thus connectivity constraint does not impose to preserve some certain edges, the self-deployment strategy developed in this paper reserves a sufficient degree of freedom for the motion of robots. Theoretical analysis demonstrates that each pair of neighbor robots can finally reach the largest objective distance from each other while the group keeps connected all the time, which is also shown by simulations.     

并行机器人结构刚度有限元数值模拟

通过有限元数值模拟对并行机器人的结构刚度进行了分析。并行机器人的刚度可以通过有限元数值模拟方法对其进行分析．基于子结构的概念并鉴于大多数并行机器人都具有结构对称性特征。提出了一种有效的数值模拟方法——模块设计方法，并通过一个应用实例显示了这种方法的有效性．对数值模拟结果进行了整理并在此基础上绘制了Isoglide3-T3并行机器人的刚度图。     

A real-time collision-free path planning of a rust removal robot using an improved neural network

In this paper, a real-time collision-free path planning of the rust removal robot in a ship environment is proposed, which is based on an improved biologically inspired neural network algorithm. This improved algorithm is based on the biologically inspired neural network and modified with obstacle detection sensors and kinematic state templates, and is implemented in a ship rust removal robot planning system for dynamic trajectory generation. The real-time optimal trajectory is generated by the biologically inspired neural network, and the moving obstacle detection process of a ship robot working on the wall is simulated with the obstacle detection sensors models. The local real-time trajectory can be re-planned by the updated local map information, where the obstacle detection sensors are used to inspect partial environment information and update the robot nearby information in real time in the original neural network algorithm. At the same time, the method of the kinematic state templates matching and searching is used to solve the pipes’ influence of the rust removal robot climbing on the wall, which can not only provide a smooth path, but also can judge the motion direction and turning angle of the robot. Comparison of the proposed approach with the simulation shows that the improved algorithm is capable of planning a real-time collision-free path with achieving the local environmental information and judging the rust removal robot’s motion direction and turning angle. This proposed algorithm can be good used in the ship rust removal robot.     

STATICS ANALYSIS AND OPENGL BASED 3D SIMULATION OF COLLABORATIVE RECONFIGURABLE PLANETARY ROBOTS

In the last few years,based on the wide rangeof application domains,multirobot coordination be-came one of the focuses of robotics.M.B.Dias andA.Stentz[1]described a market-based architecturefor coordinating a group of robots to achieve a givenobjective.Terry Huntsberger,Paolo Pirjanian,Pir-janian,Ashitey Trebi-Ollennu,etc,have developedan enabling distributed control architecture calledcontrol architecture for multirobot planetary out-posts(CAMPOUT)[2].CAMPOUT includes thenecessary …     

Research on Object Model-Based Architecture for Service Robot System

An object model-based software architecture for service robot system is presented,which addresses both software engineering issues such as reuse,extensibility,and management of complexity as well as system engineering issues like scalability,reactivity,and robustness.A novel approach to the service robot system architecture is discussed.Cognitive psychology is considered in designing the software system,i.e.,a human‘s way of vision and planning is applied.The planner can incorporate the user‘s request into its task selection mechanism and generate plans biased toward picking the most reliable task execution in a given situation,and the planner can alter task selection based on changes that occur in dynamic and uncertain environments.     

Pressure-Based Approach to Estimating the Injection Start and End in Single and Split Common Rail Injection Processes

The deep understanding on sand and sand dunes scale can be useful to reveal the formation mechanism of the sandstorm for early sandstorm forecast. The current sandstorm observation methods are mainly based on conventional meteorological station and satellites remote sensing, which are difficult to acquire sand scale information. A wireless sensing network is implemented in the hinterland of desert, which includes ad hoc network, sensor, global positioning system (GPS) and system integration technology. The wireless network is a three-layer architecture and daisy chain topology network, which consists of control station, master robots and slave robots. Every three robots including one master robot and its two slave robots forms an ad hoc network. Master robots directly communicate with radio base station. Information will be sent to remote information center. Data sensing system including different kinds of sensors and desert robots is developed. A desert robot is designed and implemented as unmanned probing movable nodes and sensors’ carrier. A new optical fiber sensor is exploited to measure vibration of sand in particular. The whole system, which is delivered to the testing field in hinterland of desert (25 km far from base station), has been proved efficient for data acquisition.     

The Acquisition of Sand Vibration Information in Hinterland of Desert Based on Advanced Remote Sensing System and Network Technologies

The deep understanding on sand and sand dunes scale can be useful to reveal the formation mechanism of the sandstorm for early sandstorm forecast. The current sandstorm observation methods are mainly based on conventional meteorological station and satellites remote sensing, which are difficult to acquire sand scale information. A wireless sensing network is implemented in the hinterland of desert, which includes ad hoc network,sensor, global positioning system(GPS) and system integration technology. The wireless network is a three-layer architecture and daisy chain topology network, which consists of control station, master robots and slave robots.Every three robots including one master robot and its two slave robots forms an ad hoc network. Master robots directly communicate with radio base station. Information will be sent to remote information center. Data sensing system including different kinds of sensors and desert robots is developed. A desert robot is designed and implemented as unmanned probing movable nodes and sensors' carrier. A new optical fiber sensor is exploited to measure vibration of sand in particular. The whole system, which is delivered to the testing field in hinterland of desert(25 km far from base station), has been proved efficient for data acquisition.     

自动跟踪运输机器人模型的设计

以AT89C51单片机为控制核心，用带减速器的小型直流电机为驱动元件，在智能软件的控制下，实现了机器人的自动跟踪、避障、语音报警和相关信息显示等功能。介绍了该机器人的结构组成、控制系统及软件编程。     

Web服务器与Player的通信机制研究

移动机器人远程控制具有良好的应用前景,其核心问题之一就是操作者与机器人之间的通信,实现数据的有效传输、交换、解析、存储等.提出了一种Web技术和机器人网络服务器Player相结合的3层通信框架,实现了Web服务器与Player服务器间的通信.利用这种通信机制建立的基于Web的移动机器人远程监控系统具有良好的可重构、可扩展,可以扩展支持多用户的协同操作和多机器人的协同工作.     

平面二自由度冗余驱动并联机器人控制实验研究

对平面二自由度冗余驱动并联机器人进行了逆运动学分析,由末端执行器的位置计算得到主动关节角的位置.分别采用传统的PID控制方法和PID+速度前馈补偿+加速度前馈补偿的方法对并联机器人轨迹跟踪问题进行了实验研究.通过比较2种控制方法的轨迹跟踪效果和比较由连接在连杆上的加速度传感器测量的振动大小,证明了PID+速度前馈补偿+加速度前馈补偿的方法能更好地实现轨迹跟踪.     

空间5S-S并联机器人机构尺度综合的解析方法

Groebner基是多项式理想理论中的一个重要概念和研究工具。将基于Groebner基的代数方法应用于空间5S－S机构体导引综合，获得当给定刚体6个精确点时问题的符合型三角形Groebner基，即解析形式的解。     

Dynamic Simulation Analysis of Humanoid Robot Walking System Based on ADAMS

Humanoid robots are a hot topic in the field of robotics research. The walking system is the critical part of the humanoid robot, and the dynamic simulation of the walking system is of great importance. In this paper, the stability of the walking system and the rationality of its structural design are considered in the study of dynamics for a humanoid robot. The dynamic model of humanoid robot walking system is established by using the Lagrange dynamics method. Additionally, the three-dimensional model of CATIA is imported into ADAMS. The humanoid robot walking system is added with the movement of the deputy and the driving force in the ADAMS.The torque and angular velocity of the ankle joint and hip joint are analyzed in the process of knee bends. The simulation results show that the overall performance of the humanoid robot walking system is favorable and has a smooth movement, and the specified actions can be completed, which proves the rationality of the humanoid robot walking system design.     

机器人的三维运动仿真

通过对一个机器人机械手三维实时运动仿真系统实例的介绍和分析，阐述了利用OpenGL图形库实现机器人运动仿真的有效方法，重点分析了机器人运动学模型的构建及仿真过程的动态显示，并且讨论了该仿真系统的主要功能模块构成。最后总结了该仿真系统的主要特点，指出了OpenGL在机器人运动仿真中的应用前景。     

Real-Time Fuzzy Obstacle Avoidance Using Directional Visual Perception

This paper presents a novel vision-based obstacle avoidance approach for the Autonomous Mobile Robot (AMR) with a PanTilt-Zoom (PTZ) camera as its only sensing modality. The approach combines the morphological closing operation based on Sobel Edge Detection Operation and the (μ-kσ) thresholding technique to detect obstacles to soften the various lighting and ground floor effects. Both the morphology method and thresholding technique are computationaUy simple. The processing speed of the algorithm is fast enough to avoid some active obstacles. In addition, this approach takes into account the history obstacle effects on the current state. Fuzzy logic is used to control the behaviors of AMR as it navigates in the environment. All behaviors run concurrendy and generate motor response solely based on vision perception. A priority based on subsumption coordinator selects the most appropriate response to direct the AMR away from obstacles. Validation of the proposed approach is done on a Pioneer 1 mobile robot.     

大场地足球机器人视觉子系统及其识别算法

为了满足MiroSot 11 vs．11大场地机器人足球赛对视觉识别子系统高精确度的要求，介绍了一种参加FIRA Robot World Cup 2004的MiroSot Large League 11 vs．11足球机器人系统计算机视觉子系统和机器人／足球识别算法．详细论述了其视觉子系统结构、色标设计、识别算法和后处理滤波等技术，并介绍了一种利用色度最小平均差分绝对值确定队员标识颜色的新方法．实验和比赛结果表明，该算法效果良好．     

Learning User Intention in Networked Mobile Robot Control

Teleoperated networked robot often has unpredictable behaviors due to uncertain time delay from data transmission over Internet. The robot cannot accomplish the desired actions of the remote operator in time, which severely impairs reliability and efficiency of the robot system. This paper investigated a novel approach, learning user intention, to compensate the uncertain time delay with the autonomy of a mobile robot. The user intention to control and operate the robot was modeled and incrementally inferred based on Bayesian techniques so that the desired actions could be recognized and completed by the robot autonomously. Thus the networked robot is able to fulfill the task assigned without frequent interaction with the user, which decreases data transmission and improves the efficiency of the whole system. Experimental results show the validity and feasibility of the proposed method.     

悬链线上自动装卸工件的研究

分析了悬链线上自动装卸设备所产生的运动以及实现这些运动所需的机构。针对工件放置位置不准确的状况,采用机器视觉技术自动识别工件的位置,悬链与机器人悬挂机构保持同步移动,可以避免吊杆与工件及悬挂机构碰撞,保证了工件的自动抓取和释放的准确性。