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。     

Eye Robotic System for Vitreoretinal Surgery

Micro incision vitrectomy system (MIVS) is considered to be one of the most difficult tasks of eye surgery,due to its requirements of high accuracy and delicate operation under blurred vision environment.There-fore,robot-assisted ophthalmic surgery is a potential and efficient solution.Based on that consideration,a novel master-slave system for vitreoretinal surgery is realized.A 4-DOF remote center of motion (RCM) mechanism with a novel linear stage and end-effector is designed and the master-slave control system is implemented.The forward and inverse kinematics are analyzed for the controller implementation.Then,algorithms with motion scaling are also integrated into the control architecture for the purpose to enhance the surgeon's operation accu-racy.Finally,experiments on an eye model are conducted.The results show that the eye robotic system can fulfill surgeon's motion following and simulate operation of vitrectomy,demonstrating the feasibility of this system.     

基于模糊补偿的RBF神经网络机械手控制

针对机械手系统的高精度轨迹跟踪控制,提出了一种基于模糊补偿的RBF（radial basis function）神经网络机械手控制方法.该方法首先利用PD（proportional-integral）控制器获得机械手的控制策略,将其输出作为RBF神经网络的输入,并学习得到系统模型;然后运用模糊逻辑补偿器对系统扰动和建模误差进行补偿;最后,在MATLAB/Simulink平台上针对两关节机械臂,进行了有模糊补偿和无模糊补偿系统跟踪的均方根误差测量仿真实验.研究结果表明,两关节机械臂的控制精度分别提高了60.8%和71.4%,本文提出的方法能够解决机械手实际模型很难精确建立的问题,并能对系统未建模部分和扰动部分进行自适应补偿.      

Depth Camera-Based Robot-Assisted Ultrasonic Lipolysis System

With many advantages such as non-invasive,safe and quick effect,focused ultrasound lipolysis stands out among many fat-removing methods.However,during the whole process,the doctor needs to hold the ultra-sound transducer and press it on the patient's skin with a large pressure for a long time;thus the probability of muscle and bone damage for doctors is greatly increased.To reduce the occurrence of doctors' occupational diseases,a depth camera-based ultrasonic lipolysis robot system is proposed to realize robot-assisted automatic ultrasonic lipolysis operation.The system is composed of RealSense depth camera,KUKA LBR Med seven-axis robotic arm,PC host,and ultrasonic lipolysis instrument.The whole operation includes two parts:preoperative planning and intraoperative operation.In preoperative planning,the treatment area is selected in the camera image by the doctor;then the system automatically plans uniformly distributed treatment points in the treat-ment area.At the same time,the skin normal vector is calculated to determine the end posture of the robot,so that the ultrasound transducer can be pressed down in the normal direction of skin.During the intraoperative operation,the robot is controlled to arrive at the treatment point in turn.Meanwhile,the patient's movement can be detected by the depth camera,and the path of robot is adjusted in real time so that the robot can track the movement of patient,thereby ensuring the accuracy of the ultrasonic lipolysis operation.Finally,the human body model experiment is conducted.The results show that the maximum error of the robot operation is within 5 mm,average error is 3.1 mm,and the treatment points of the robot operation are more uniform than those of manual operation.Therefore,the system can replace the doctor and achieve autonomous ultrasonic lipolysis to reduce the doctor's labor intensity.     

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.     

A new plan and coordination strategy for robot system based on state space

This paper proposes a general plan and coordination strategy for robot system. The state space for robot system is constructed according to the task requirement and system characteristic. Reachable state of the system is figured out by the system’s internal and external constraints. Task plan and coordination are then transformed as trajectory solving problem in the state space, by which the realizable conditions for the given task are discussed. If the task is realizable, the optimal strategy for task execution could be investigated and obtained in state space. Otherwise, it could be transformed to be realizable via adjusting the system configuration and/or task constraint, and the transformation condition could also be determined. This contributes to design, plan, and coordination of the robotic tasks. Experiments of the manipulator path planning and multi-robot formation movement are conducted to show the validity and generalization of the proposed method. Foundation item: the National Natural Science Foundation of China (No. 60675041) and the Program for New Century Excellent Talents in University (No. NCET-06-0398)     

基于半物理仿真的盾构机临境化虚拟训练系统

针对目前盾构机操作人员在实际施工环境下进行操作训练的不切实际性,而大多数虚拟训练系统又仅体现出演示性系统运动,却不能实现基于系统运动学及动力学进行真实训练的现状,提出基于半物理仿真的盾构机虚拟训练系统构架。建立以盾构机动力学模型为核心的虚拟样机模型,将STM32作为系统的控制器,用信号转换器完成信号的转换。采用半物理仿真的方法,用户可以通过在人机界面上进行盾构机的模拟训练,并可以临境化进入盾构机内部,以不同角度查看虚拟训练的效果,最终借助Unity3d实现盾构机的运动系统的展示。     

大型地下埋设管道智能施工机械手的路径规划研究

针对机械手的动态不均匀性和运动学冗余性特点,基于人工势场理论与模糊理论,利用模糊系统逼近调和函数的梯度的方法进行路径规划,通过仿真来检验该方法的可行性。结果表明:该方法具有明显的柔性和自适应性。表现出某种智能特征,实现了路径的寻优规化。     

An Active Endoscopy Robotic System for Direct Tracheal Inspection

The development of active endoscopy techniques is one important area of medical robot.This paper designed a new flexible and active endoscopy robotic system for direct tracheal inspection.The mobile mechanism of the robot is based on the inchworm movement actuated by pneumatic rubber actuator.There are five air chambers controlled independently,by adjusting pressures in air chambers,the robot can move in a straight mode or in a bending mode.The inspection sensors and some therapy surgery tools can be equipped in the front of the robot.The prototype was made and its mechanical characteristics were analyzed.The robot could move smoothly in a small plastic tube,and the robot is respectable to be used for inspection in human trachea directly.     

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。     

Operation Modes and Control Schemes for Internet-Based Teleoperation System with Time Delay

Teleoperation system plays an important role in executing task under hazard environment. As the computer networks such as the Internet are being used as the communication channel of teleoperation system, varying time delay causes the overall system unstable and reduces the performance of transparency. This paper proposed twelve operation modes with different control schemes for teleoperation on the Internet with time delay. And an optimal operation mode with control scheme was specified for teleoperation with time delay, based on the tradeoff between passivity and transparency properties. It experimentally confirmed the validity of the proposed optimal mode and control scheme by using a simple one DOF master-slave manioulator system.     

基于多连杆的机器人步行机构运动特性分析

在研究设计机器人步行系统过程中,对所设计机器人步行机构的运动特性进行了理论分析和仿真实验,得出了步行机构落足点的运动轨迹曲线.步行机构为多连杆机构,共6组,每组结构相同.该机构采用1台电机,通过机构传动,来实现落足点周期性的运动,从而实现机器人的前进、后退以及一定范围内的越障.该步行机构满足落足点运动轨迹的一般要求：前半个周期实现迈步动作,落足点尽可能的高于地面,并有一定的水平位移;后半个周期使落足点回到初始位置,并保证其轨迹尽可能的与地面平行.     

Optimal posture searching algorithm on mobile welding robot

An independently developed mobile welding robot system is introduced. Kinematics model is the base of robot planning. With the Denavit-Hartenberg method, robot kinematics equation can be gotten. The robot welding torch inclination angle consists of the working and moving angles. According to the kinematics model, both the two angles and torch position can be calculated. Under special moving angle, a two-step algorithm is used to obtain the optimal manipnlator posture. The calculation result shows that the Mgorithm has high precision.     

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.     

ANALYZING ON THE VIBRATION CHARACTERISTICS OF A MICRO PIEZOELECTRIC ROBOT IN PIPELINE

IntroductionIt is very important to master the locomotionprinciple of a micro piezoelectric actuator for peo-ple to design a micro piezoelectric actuator or arobot. so far,experimental method has been theonly approach available to design a micro piezoelec-tric actuator or a robot[1～ 4 ] .As a result,itis diffi-cult to make a parameterized design or an optimaldesign for a micro piezoelectric robot. Therefore,it is in dire need to constitute the locomotion equa-tion of the robot. In the paper,t…     

Teleoperated Puncture Robot System:Preliminary Design and Workspace Analysis

Radiofrequency ablation (RFA) guided by X-ray images aims to relieve herniated disc pain with mini-mal invasiveness and fast recovery.It requires an accurate and fast positioning of the puncture needle.We propose a teleoperated robotic system for percutaneous puncture to support RFA.We report the kinematics modelling and workspace analysis of the proposed system,which comprises preliminary and accurate positioning mechanisms.Preliminary positioning mechanism automatically drives the needle to the puncture area,and accurate positioning is then achieved by teleoperation under the guidance of X-ray images.We calculate the teleoperation workspace of the robot system using a spatial search algorithm and quantitatively analyze the optimal structural parameters aiming to maximize the workspace.The workspace of the proposed robot system complies with clinical require-ments to support RFA.     

视觉伺服机器人视界内的直接路径规划

建立了GRB-400单目视觉伺服机器人的图像雅可比矩阵，针对此动态双环系统设计了控制算法使视觉伺服闭环运动控制系统稳定．根据视觉伺服闭环运动控制系统的需要，提出了最速下降法与惩罚函数法相结合的平面规划方法,在机器人的视界内解决一定时间内最小能量的路径规划问题．仿真与实验结果表明。机器人根据在其视觉范围内的目标物体的位置即可采用上述方法确定优化的路径。     

Simulation platform for the underwater snake-like robot swimming based on Kane’s dynamic model and central pattern generator

A systematic method for swimming control of the underwater snake-like robot is still lacking. We construct a simulation platform of the underwater snake-like robot swimming based on Kane＇s dynamic model and central pattern generator （CPG）. The partial velocity is deduced. The forces which contribute to dynamics are determined by Kane＇s approach. Hydrodynamic coefficients are determined by experiments. Then, we design a CPG-based control architecture implemented as the system of coupled nonlinear oscillators. The CPG, like its biological counterpart, can produce coordinated patterns of rhythmic activity while being modulated by simple control parameters. The relations between the CPG parameters and the speed of the underwater snake-like robot swimming are investigated. Swimming in a straight line, turning, and switching between swimming modes are implemented in our simulation platform to prove the feasibility of the proposed simulation platform. The results show that the simulation platform can imitate different swimming modes of the underwater snake-like robot.     

基于微分几何法的机器人最优轨迹规划

将二自由度机器人的轨迹弧长指标视为黎曼度量，在黎曼空间内进行机器人的最佳轨迹规划基于微分几何的方法，求出了具有此种黎曼度量的黎曼曲面上的测地线作为机器人的最佳轨迹，并进行了计算机轨迹仿真，验证了轨迹规划结果的正确性。     

机器人用高精度RV减速机几何回差分析

分析并建立了机器人用高精度ＲＶ减速机几何回差计算的数学模型。并通过计算机模拟与生产实践予以验证。