Intelligent Sensing and Control of Road Construction Robot Scenes Based on Road Construction

Automatic control technology is the basis of road robot improvement,according to the characteristics of construction equipment and functions,the research will be input type perception from positioning acquisition,real-world monitoring,the process will use RTK-GNSS positional perception technology,by projecting the left side of the earth from Gauss-Krueger projection method,and then carry out the Cartesian conversion based on the characteristics of drawing;steering control system is the core of the electric drive unmanned module,on the basis of the analysis of the composition of the steering system of unmanned engineering vehicles,the steering system key components such as direction,torque sensor,drive motor and other models are established,the joint simulation model of unmanned engineering vehicles is established,the steering controller is designed using the PID method,the simulation results show that the control method can meet the construction path demand for automatic steering.The path planning will first formulate the construction area with preset values and realize the steering angle correction during driving by PID algorithm,and never realize the construction-based path planning,and the results show that the method can control the straight path within the error of 10 cm and the curve error within 20 cm.With the collaboration of various modules,the automatic construction simulation results of this robot show that the design path and control method is effective.

Research on the Robotic Arm Control System Based on the Reconfiguration Technology

In the development of the robotic arm in recent decades, it has been realized to operate the robotic arm according to the design of the software program to complete the corresponding specific work. It can not only work in an environment where people can't work, but also can maintain long hours of the work, with the low failure rate. With the rapid development of the robotic arm research technology, the robotic arm has been widely used in aerospace, medicine, industrial production, anti-terrorism, and explosion and service industries. Due to the strict quality restriction, the rigidity of the robotic arm is low, and there are geometric errors and flexible deformation errors. In order to improve its performances, it is necessary to reduce the end positioning error of the robotic arm by means of the restructuring technology.

Human Interaction Dynamics for Its Use in Mobile Robotics:Impedance Control for Leader-follower Formation

A complete characterization of the behavior in human-robot interactions(HRI) includes both: the behavioral dynamics and the control laws that characterize how the behavior is regulated with the perception data. In this way, this work proposes a leader-follower coordinate control based on an impedance control that allows to establish a dynamic relation between social forces and motion error. For this, a scheme is presented to identify the impedance based on fictitious social forces, which are described by distance-based potential fields.As part of the validation procedure, we present an experimental comparison to select the better of two different fictitious force structures. The criteria are determined by two qualities: least impedance errors during the validation procedure and least parameter variance during the recursive estimation procedure.Finally, with the best fictitious force and its identified impedance,an impedance control is designed for a mobile robot Pioneer 3AT,which is programmed to follow a human in a structured scenario.According to results, and under the hypothesis that moving like humans will be acceptable by humans, it is believed that the proposed control improves the social acceptance of the robot for this kind of interaction.

Intelligent Robust Control of Redundant Smart Robotic Arm Pt I: Soft Computing KB Optimizer - Deep Machine Learning IT

Redundant robotic arm models as a control object discussed.Background of computational intelligence IT on soft computing optimizer of knowledge base in smart robotic manipulators introduced.Soft computing optimizer is the sophisticated computational intelligence toolkit of deep machine learning SW platform with optimal fuzzy neural network structure.The methods for development and design technology of control systems based on soft computing introduced in this Part 1 allow one to implement the principle of design an optimal intelligent control systems with a maximum reliability and controllability level of a complex control object under conditions of uncertainty in the source data,and in the presence of stochastic noises of various physical and statistical characters.The knowledge bases formed with the application of soft computing optimizer produce robust control laws for the schedule of time dependent coefficient gains of conventional PID controllers for a wide range of external perturbations and are maximally insensitive to random variations of the structure of control object.The robustness is achieved by application a vector fitness function for genetic algorithm,whose one component describes the physical principle of minimum production of generalized entropy both in the control object and the control system,and the other components describe conventional control objective functionals such as minimum control error,etc.The application of soft computing technologies(Part I)for the development a robust intelligent control system that solving the problem of precision positioning redundant(3DOF and 7 DOF)manipulators considered.Application of quantum soft computing in robust intelligent control of smart manipulators in Part II described.

New advances in multiple autonomous aerial robots formation control technology

Autonomous aerial robotics has become a hot direction ofresearch inside the community of robotics and control. Theprimary problem addressed by formation control is to steermultiple aerial robots to form desired geometric patterns and,at the same time, realize desired collective swarming behaviorsin a decentralized or distributed manner. In contrast toground vehicles, aerial robots have the ability to work inthree-dimensional (3D) airspace. Equipped with electric orhydraulic motors, the vertical take-off and landing (VTOL)capability is a typical performance of aerial robots. Formationcontrol technology for such aerial robots is incessantlyspringing up to satisfy the requirements of highly intelligentautonomous systems, which affects both military and civilareas, including missile defense, battlefield surveillance,satellite network construction, fire suppression, power gridinspection, commercial show, etc. [1–5]. Such a problem ofmultiple aerial robots formation control is exceptionallychallenging to analyze if practical constraints such as complexdynamics, motion constraints, and imperfect measurementsare incorporated.

3-D Animation as Applied to the Solving of Coupling Relations in the 6-DOF Parallel Robot

How to solve the coupling relations in a 6 - DOF parallel robot quickly and accurately within the limits of realtime control is a critical problem. In traditional analytic method, the complicated mathemtical model must first be constructed and then solved by programming.Obviously, this method is not very practical. This paper,therefore, proposes a new way of approach with a new method using 3- D animation for the solving of coupling relations in the 6 - DOF parallel robot. This method is much simpler and its solving accuracy approaches that of the more complicated analytic method.

中国机器人伺服控制技术竞争力及提升路径

中国机器人核心技术竞争力与国际领先国家相比仍有很大的差距,迫切需要提升以伺服控制技术、减速机技术等为代表的机器人核心技术竞争力。文章采用专利信息数据从专利数量、专利质量、专利价值三个维度对中国机器人伺服控制领域的技术竞争力进行分析,并将其与美国、德国、韩国等领先国家进行比较,剖析中国机器人伺服控制技术发展过程中的优势与不足,最后从技术联合研发、聚焦关键技术、研发方向等方面提出了技术竞争力提升的路径。

室内环境下改进的混合路径规划算法

为了解决室内非结构化复杂环境下的机器人在路径规划时常常出现目标点不可达、规划过程产生折角偏移、规划过程无法及时规避动态障碍物等问题,提出一种改进的混合室内路径规划算法。该算法将改进的全局路径规划与改进的局部路径规划算法相融合。首先,优化传统A-Star算法的启发因子,减少搜索范围和节点,再通过角平分线切点法对传统A-Star算法进行平滑处理。其次,综合路径与环境信息,采用改进的人工势场算法进行局部路径规划,通过修正斥力场参数来解决目标点不可达问题,同时构造了动态的势力场函数,使其具备决解决动态障碍物的能力。最后,对混合算法进行实际环境的路径规划实验,比起传统的混合算法文中提出的混合算法在路径规划长度上减少11.4%,运行时间减少11.1%,少经过34个冗余节点,结果表明该融合算法可以有效解决室内非结构化复杂的路径规划问题。

基于大数据聚类的搬运机器人抓取末端控制系统设计

为提高搬运机器人抓取效率,避免损伤货物,设计了基于大数据聚类的搬运机器人抓取末端控制系统。利用主控制器和驱动控制器平稳控制机器人运行,通过在末端执行器内安装红外扫描装置、集成锁相环路解码器LM567,判断货物是否处于抓取末端内部。使用FRS-402敏感电阻,降低力敏感电阻值,提高抓取的稳定性,完成系统硬件设计。基于大数据聚类拟合控制信号,降低数据维度并提取特征向量。通过匀速抓取、反馈减速以及应力松弛3步,实现搬运机器人抓取末端控制系统设计。实验结果表明,所设计系统能够有效减小抓取位置误差,提高搬运效率,降低货物损失。

基于TwinCAT3的一种开源机器人控制系统设计

目前主流工业机器人为封闭式控制结构,存在不开源、二次开发难的问题,因此设计一种基于TwinCAT3(the windows control and automation technology)的跨平台、可移植性好的机器人控制系统架构。该架构包含视觉、运动控制和算法集成与仿真控制模块,采用倍福自动化设备规范(automation device specification,ADS)通信技术和实时工业以太网总线技术(ethernet for control automation technology,EtherCAT),建立以计算机(personal computer,PC)和倍福控制器为EtherCAT主站,控制多组从站执行器的一主多从工作模式。该模式结合离线与在线控制、集成数字孪生技术,完成虚拟样机与物理样机的联动;采用开源可扩展架构,便于视觉算法、智能算法等算法集成。经实验验证,此架构具有拓展性好、实时性强的特点。

薄煤层综采工作面智能化关键技术与应用

针对薄煤层工作面开采长期面临的装备配套性能低、智能化程度低、经济效益低、劳动强度高的“三低一高”问题,构建了工作面生产时地面工艺调度决策,井下设备依据决策自动执行的“地面规划采煤、装备自动执行、面内无人作业”的智能无人开采新模式。建立了以地面控制中心为核心,以井上下万兆网络通讯平台、采煤机规划截割、液压支架主从调度、机载音视频装置、巡检机器人、电缆拖拽、三岗合一为辅的成套化薄煤层智能化开采关键技术。通过工业实践表明,该模式可实现生产时将工作面内作业人员由原来3人减为无人,达到无人则安;生产效率由原来的每天12刀提升到14刀,最高达到16刀,平均提升17%以上。

机器人高精度轨迹跟踪与运动控制方法关键技术研究

随着科技的迅速发展,机器人技术已经成为现代工业、医疗、服务等多个领域的核心技术,这些应用要求机器人不仅要有高度的操作精度,还要能在复杂和动态的环境中稳定工作。基于此,本文提出了一种结合优化算法和模糊控制的轨迹跟踪方法,旨在提高跟踪精度和控制的响应速度,相比于传统方法,在轨迹跟踪精度和控制稳定性方面表现更优,以期在各类机器人应用中实现更高的精确度、更好的适应性和更强的稳定性。

基于多源感知的智能巡检机器人系统设计

为了提高智能巡检机器人巡检效果,保障电力系统稳定运行,设计基于多源感知的智能巡检机器人系统。依据多源感知原理设计,系统的硬件单元包括传感器选型单元、控制器选型单元及其边缘设备通信单元;软件模块包括多传感器模型构建模块、多传感器获取特征融合模块与巡检机器人导航控制模块。通过设计与开发,实现了智能巡检机器人系统的运行。实验数据表明,应用所设计系统获得的巡检机器人响应时延更短,巡检机器人导航距离、角度偏差数据较小,充分证实了所设计系统提高了巡检机器人巡检效果,具有较好的应用性能,能够保障电力系统稳定运行。

工业机器人技术在自动化控制领域的应用

随着我国经济的发展,科学技术水平不断提升,工业机器人技术也在不断进步。将工业机器人技术应用在我国工业生产中,不仅可以提升工业生产效率,还能够降低工作人员的劳动强度,提高劳动效率。基于工业机器人的技术控制方式,探究工业机器人技术在自动化控制领域的应用。

机器人数控技术在机械智能制造中的应用研究

机器人数控技术是深度融合机器人技术与数控技术的新兴制造技术。文章分析机器人数控技术的特征,重点阐述其在运动控制、智能感知、柔性制造等方面的应用优势。通过航空发动机叶片加工案例,证实机器人数控加工在提高复杂曲面加工精度、效率、质量方面的显著效果。机器人数控技术是引领机械制造智能化的关键使能技术,对推动我国制造业高质量发展具有重要意义。

Discrete-time based sliding-mode control of robot manipulators

Purpose-The purpose of this paper is to develop sliding mode control with linear and nonlinear manifolds in discrete-time domain for robot manipulators.Design/methodology/approach–First,a discrete linear sliding mode controller is designed to an n-link robot based on Gao’s reaching law.In the second step,a discrete terminal sliding mode controller is developed to design a finite time and high precision controller.The stability analysis of both controllers is presented in the presence of model uncertainties and external disturbances.Finally,sampling time effects on the continuous-time system outputs and sliding surfaces are discussed.Findings–Computer simulations on a three-link SCARA robot show that the proposed controllers are robust against model uncertainties and external disturbance.It was also shown that the sampling time has important effects on the closed loop system stability and convergence.Practical implications-The proposed controllers are low cost and easily implemented in practice in comparison with continuous-time ones.Originality/value-The novelty associated with this paper is the development of an approach to finite time and robust control of n-link robot manipulators in discrete-time domain.Also,obtaining an upper bound for the sampling time is another contribution of this work.

Trajectory tracking control of robotic transcranial magnetic stimulation

Purpose–Transcranial magnetic stimulation(TMS)is a non-invasive brain stimulation technique.Based on the unique functions of TMS,it has been widely used in clinical,scientific research and other fields.Nowadays,the robot-assisted automatic TMS has become the trend.In order to simplify the operation procedures of robotic TMS and reduce the costs,the purpose of this paper is to apply the marker-based augmented-reality technology to robotic TMS system.Design/methodology/approach–By using the marker of ARToolKitPlus library and monocular camera,the patient’s head is positioned in real time.Furthermore,the force control is applied to keep contact between the coil and subject’s head.Findings–The authors fuse with visual positioning which is based on augmented-reality and force-control technologies to track the movements of the patient’s head,bring the coil closer to the stimulation site and increase treatment effects.Experimental results indicate that the trajectory tracking control of robotic TMS system designed in this paper is practical and flexible.Originality/value–This paper provides a trajectory tracking control method for the robotic TMS.The marker-based augmented-reality technology is implemented which simplifies the operation procedures of robotic TMS as well as reduce the costs.During the treatment process,the patients would wear an AR glasses,which can help patients relax through virtual scenes and reduce the uncomfortableness produce by treatment.

Overview of Key Technologies for Remote Wireless Operation Platform on Water Surface

The underwater environment is complicated and full of hazards,making it tough to complete with just one piece of underwater operation equipment.Building a high-speed,low-latency wireless connection between a remote wireless operation platform on water surface and other operation platforms in order to achieve long-distance transmission of high-definition image data and control commands,as well as collaborative operations among multiple platforms,has become a development trend and focus of exploring complex and dangerous waters.This paper summarizes and elaborates on underwater communication technology,long-distance data transmission technology,multi-submersible robot collaborative operation,and information interaction technology,as well as the development status of key technologies of remote wireless operation platform on water surface.And the research direction and focus of the remote wireless operation platform on water surface are prospected.

基于Unity3D立管横焊机器人虚拟现实技术研究

为提高深水立管横焊机器人在J型铺管复杂工况下的作业能力,提出一种基于虚拟现实技术的横焊机器人遥操作控制方案。以机器人三维建模、虚拟仿真、遥操作控制等技术为基础,综合运用UG和3DMAX建立横焊机器人三维模型。搭建基于Unity3D的软件开发平台,建立横焊机器人虚拟仿真模型及作业工作场景。采用图形用户界面系统设计横焊机器人遥操作人机交互界面。仿真结果表明:虚拟现实人机交互良好,能够精确捕捉立管横焊机器人的物理位姿和运行状态并进行动态调整,运动仿真和碰撞检测实时有效。

机器人控制技术课课程思政建设与探索

将思想政治教育融入高校的课程教学和改革,实现知识传授与价值引领相结合的课程目标已成为我国高等教育事业新趋势,如何在工科专业课程中润物无声地融入思政元素是一个需要探讨的问题。该文以天津工业大学机器人控制技术课程为例,分析开展课程思政的必要性,树立课程思政的建设思路,并从教学环节、教学方法、思政目标等方面多维度地展开深入的探讨,以期为我国工科专业的人才全方位培养提供参考。