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2021 6th International Conference on Control and Robotics Engineering (ICCRE)最新文献

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Multiagent Motion Planning Based on Deep Reinforcement Learning in Complex Environments 复杂环境下基于深度强化学习的多智能体运动规划
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435656
Dingwei Wu, Kaifang Wan, Xiao-guang Gao, Zijian Hu
When agents in a multiagent system implement motion planning in complex and dynamic environments, model-based planning algorithms have poor adaptability, while intelligent algorithms, such as MADDPG, encounter difficulty in converging when training multiple agents, and the resulting control model has poor stability and robustness. To address the above challenges, this paper proposes a mixed experience multiagent deep deterministic policy gradient algorithm referred to as ME-MADDPG. The algorithm increases the high-quality experience obtained by artificial potential field method and uses dynamic probability to sample from different replay buffers. Simulation experiments have proven that compared to MADDPG, ME-MADDPG greatly improves convergence speed, convergence effect and stability and that ME-MADDPG can efficiently provide shorter and more convenient paths for multiagent systems.
多智能体系统中的智能体在复杂动态环境中进行运动规划时,基于模型的规划算法适应性较差,而智能算法(如MADDPG)在训练多智能体时难以收敛,得到的控制模型稳定性和鲁棒性较差。为了解决上述挑战,本文提出了一种混合体验多智能体深度确定性策略梯度算法,称为ME-MADDPG。该算法增加了人工势场法获得的高质量经验,并利用动态概率对不同的重放缓冲区进行采样。仿真实验证明,与MADDPG相比,ME-MADDPG大大提高了收敛速度、收敛效果和稳定性,ME-MADDPG可以有效地为多智能体系统提供更短、更方便的路径。
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引用次数: 4
Kinematic Modelling of a Tri Robot Machining Cell 三机器人加工单元的运动学建模
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435712
W. Szeto, F. Wong, Edmond Wing Fung Yau, Sze Yi Mak, K. B. Chuah
A Synchronised “Trio-Robots Cutting System” with “DRY” Lubrication Technology for Post 3D-Metal Laser Sintered Biomedical Product is being developed. The multi-robot machining cell consists of three 6 degree-of-freedom industrial robots serving respectively as cutting robot, holding robot and cooling robot. The novelty of this robotic system is the innovative built-in reference datum setting that enables subsequent downstream robotic manufacturing system and process design to be completed in a single set-up. This innovative idea/concept is patent pending. This paper reports the conceptual development of the said manufacturing system, with the use of kinematic modelling of the three 6 DOF robots for the Machining System.
3d金属激光烧结生物医学产品的同步“三机器人切割系统”采用“DRY”润滑技术。多机器人加工单元由3个6自由度的工业机器人组成,分别作为切割机器人、夹持机器人和冷却机器人。该机器人系统的新颖之处在于创新的内置参考基准设置,使后续的下游机器人制造系统和工艺设计能够在一次设置中完成。这个创新的想法/概念正在申请专利。本文报告了上述制造系统的概念发展,并利用三个6自由度机器人的运动学建模进行了加工系统。
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引用次数: 1
Development and Experiments of a Novel Deep-sea Resident ROV 新型深海常驻ROV研制与试验
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435653
Yunxiu Zhang, Qifeng Zhang, Aiqun Zhang, Yingzhe Sun, Zhen He
It is extremely difficult and expensive to operate a traditional remotely operated vehicle (ROV) in the deep-sea. In this paper, a novel small-scale deep-sea resident ROV, called Rover ROV, is designed to conduct regional fine-sounding operations. The Rover ROV does not require a complicated Launch and Recovery System (LARS) equipped on a surface vessel, instead, the Rover ROV can be placed on a deep-sea lander and diving to the seafloor together. To ensure sufficient energy for the Rover ROV and meanwhile reduce the complexity of the conventional Tether Management System (TMS), a combined energy supply scheme based on floating charging technology is proposed. This power supply solution avoids relying solely on strong cables to provide power. To validating the maneuverability of the self-developed resident ROV and the effectiveness of the combined energy supply solution, Field experiments have been conducted in the South China Sea area with a depth of 3000 m. The results show that the developed small-scale resident ROV system can be operated in deep-sea high-power scenario, which verifies the higher reliability and longtime working capability of the proposed system.
在深海中操作传统的遥控潜水器(ROV)是非常困难和昂贵的。本文设计了一种新型的小型深海常驻ROV——Rover ROV,用于区域精细测深作业。Rover ROV不需要在水面舰艇上装备复杂的发射和回收系统(LARS),相反,Rover ROV可以放置在深海着陆器上并一起潜入海底。为了保证ROV的能量供给,同时降低传统Tether管理系统(TMS)的复杂性,提出了一种基于浮式充电技术的联合供能方案。这种供电解决方案避免了完全依赖牢固的电缆供电。为验证自主开发的常驻ROV的可操作性和联合供能方案的有效性,在南海海域3000 m深度进行了现场试验。结果表明,所研制的小型常驻ROV系统可以在深海大功率场景下运行,验证了所提出系统具有较高的可靠性和长时间工作能力。
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引用次数: 2
Trajectory Tracking Control of Tracked Underwater Dredging Robot 履带式水下疏浚机器人的轨迹跟踪控制
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435725
G. Xue, Zhongyu Ding, Qiang Zhang, Yang Liu, Yancai Hu, Zewen Tao
In order to solve the trajectory tracking control problem of underwater dredging operation of tracked robot, considering that the center of mass does not coincide with the geometric center of the robot, the kinematics and dynamics motion model is established. The kinematics and dynamics controller are designed based on Backstepping method, and the global stability of the controller is proved by Lyapunov stability theory. The effectiveness of the designed controller is proved by simulation.
为解决履带式机器人水下疏浚作业的轨迹跟踪控制问题,考虑机器人的质心与几何中心不重合的情况,建立了机器人的运动学和动力学运动模型。基于反步法设计了运动学和动力学控制器,并利用李雅普诺夫稳定性理论证明了控制器的全局稳定性。通过仿真验证了所设计控制器的有效性。
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引用次数: 0
Field Test Validations of Vision-based Multi-camera Multi-drone Tracking and 3D Localizing with Concurrent Camera Pose Estimation 基于视觉的多相机多无人机跟踪与同步相机姿态估计的三维定位的现场试验验证
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435654
Niven Jun Liang Sie, S. Srigrarom, Sunan Huang
This paper reports the field test validations of the recently proposed vision-based real-time multi-camera setups for detecting, tracking and 3D localizing multiple aerial targets (mainly drones). We also propose the additional concurrent camera pose estimation when the camera poses are not known beforehand. This extra step can be used alongside (in parallel) with the drone tracking and localizing process. We conducted flight tests using 2 drones flying in 2 specific scenarios, and used 3 cameras to observe, detect, track and locate the positions of both drones in global frame. The efficacy of our technique is measured by the accuracy of the temporal and spatial positions of the observed drones, against the drones’ own GPS recordings. Our initial results show reasonable accuracy, i.e. ±1m at 50m, as such, the proposed vision-based methods can be used for drone detection and tracking.
本文报道了最近提出的用于检测、跟踪和3D定位多个空中目标(主要是无人机)的基于视觉的实时多摄像头设置的现场测试验证。我们还提出了在不知道相机姿势的情况下附加的并发相机姿势估计。这个额外的步骤可以与无人机跟踪和定位过程一起(并行)使用。我们使用2架无人机在2个特定场景中飞行进行飞行测试,并使用3台摄像机在全局框架中观察、检测、跟踪和定位两架无人机的位置。我们的技术的有效性是通过观察无人机的时间和空间位置的准确性来衡量的,与无人机自己的GPS记录相对照。我们的初步结果显示出合理的精度,即在50m处±1m,因此,我们提出的基于视觉的方法可以用于无人机的检测和跟踪。
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引用次数: 3
Design of an Unconventional Bionic Quadruped Robot with Low-degree-freedom of Movement 一种新型低自由度仿生四足机器人的设计
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435727
Dong Zhang, Xiaolin Yan, Rixing Li, Zhongyi Guo
The current quadruped robots are designed based on the quadruped animals in the natural world, and use complex control algorithms to realize the movement and walking of the quadruped robots, which cause problems such as difficult design of bionic robots and high production costs. In order to solve the above-mentioned problems, this paper will design a four-legged sports robot that can walk quickly, turn and cross obstacles at low cost and simple control. First, establish a simplified threedimensional model of the quadruped motion robot designed and a three-dimensional model of the specific mechanical structure in SOLIDWORKS to ensure the rationality of the mechanism design. Secondly, import the simplified model into ADAMS for kinematics simulation, complete the setting and definition of the parameters of the quadruped robot model, and verify the feasibility of the mechanical structure scheme. Then, according to the complex mechanical structure environment, some key design parts are imported into ANASY for structural finite element analysis to verify whether the stiffness and strength of the key parts of the mechanism meet the design requirements. Finally, a real quadruped robot was built in combination with theoretical design and put into operation in a real environment. The simulation results were compared to verify the feasibility and rationality of the quadruped robot program as a whole.
目前的四足机器人是根据自然界的四足动物来设计的,使用复杂的控制算法来实现四足机器人的运动和行走,这造成了仿生机器人设计难度大、生产成本高等问题。为了解决上述问题,本文将设计一种四足运动机器人,该机器人可以快速行走,转弯和跨越障碍物,成本低,控制简单。首先,在SOLIDWORKS中建立所设计四足运动机器人的简化三维模型和具体机械结构的三维模型,确保机构设计的合理性。其次,将简化后的模型导入ADAMS进行运动学仿真,完成四足机器人模型参数的设置和定义,验证机械结构方案的可行性。然后,根据复杂的机械结构环境,将部分关键设计部件导入ANASY进行结构有限元分析,验证机构关键部件的刚度和强度是否满足设计要求。最后,结合理论设计搭建了一个真实的四足机器人,并在真实环境中投入运行。通过对仿真结果的对比,验证了整个四足机器人方案的可行性和合理性。
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引用次数: 0
Research of a Water Hydraulic Rotary Actuator 一种水液压回转驱动器的研究
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435699
Yousheng Yang, Z. Cui, Hong-li Xue, Mohammed AL-Bedwi
In view of the difficulties in cleaning the bio-fouling on the surface of underwater marine engineering equipment, a systematic solution based on the advantages of water hydraulic technology—a water hydraulic rotary actuator (WHRA) —is proposed. Its composition and working principles are introduced. The system is composed of a DC motor, bidirectional water hydraulic pump, water hydraulic motor, relief valve, pilot check valve. By adjusting the speed and direction of the DC motor, the output flow of the hydraulic pump, the direction and the speed of the water hydraulic motor can be controlled. This paper addresses the effects of workload and DC motor rotation direction on WHRA. Simulations have been carried out to study input flow, inlet pressure, and output speed of the executive part of WHRA—water hydraulic motor—under different conditions. It is concluded from the results that the actuator has a good capacity of resisting disturbance and the actuator works well under normal conditions with the startup time is 0.3s, the steadystate error is 0.01 rpm. The research provides a fundamental basis for the development of high-performance water hydraulic rotary actuator.
针对水下海洋工程设备表面生物污垢清洗困难的问题,基于水液压技术的优势,提出了一种系统的解决方案——水液压旋转执行器(WHRA)。介绍了其组成和工作原理。该系统由直流电机、双向水液压泵、水液压马达、溢流阀、先导止回阀组成。通过调节直流电动机的速度和方向,可以控制液压泵的输出流量,水液压马达的方向和速度。本文研究了负载和直流电机旋转方向对WHRA的影响。对水液压马达执行部分在不同工况下的输入流量、进口压力和输出转速进行了仿真研究。结果表明,该驱动器具有良好的抗干扰能力,启动时间为0.3s,稳态误差为0.01 rpm,在正常工况下工作良好。该研究为开发高性能水液压回转作动器提供了基础依据。
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引用次数: 0
Obstacle Avoidable G2-continuous Trajectory Generated with Clothoid Spline Solution 用梭形样条解生成的可避障g2连续轨迹
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435729
Huiqiao Ren, K. Fujisawa
This research engages in generating trajectories with continuous curvature and applying blending cases. Clothoid spline has an important property that its curvature is linear related to its arclength, this property can provide a curvature (G2) continuity to the interpolation operation. But it is rarely used in the trajectory plan because its shape is hard to control to avoid obstacles. This paper uses a collision-free corridor to limit the trajectory generation to avoid obstacles. In a transformable system, using line segments to connect with Clothoid spiral segments, the computation complexity could be greatly reduced by setting the starting conditions equal to zero. With the computation, a unique solution to the spiral segment is found. The computation process and the corresponding algorithm are elaborated in this paper.
本文研究了连续曲率轨迹的生成和混合情况的应用。仿线样条具有曲率与弧长线性相关的重要性质,该性质可为插值操作提供曲率(G2)连续性。但由于其形状难以控制以避开障碍物,在轨迹规划中很少使用。本文使用无碰撞走廊来限制轨迹的生成,以避开障碍物。在可变换系统中,使用线段与Clothoid螺旋段连接,将起始条件设为零可以大大降低计算复杂度。通过计算,得到了螺旋线段的唯一解。本文阐述了计算过程和相应的算法。
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引用次数: 1
Design of an Underwater Robot for Coral Reef Monitoring in Honduras 洪都拉斯珊瑚礁监测水下机器人的设计
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435710
Jose Luis Ordoñez Avila, Marcial Gustavo Ordoñez Avila, M. E. Perdomo
Climate change is affecting all ecosystems in the world, robotics applications are focusing on monitoring ecosystems effects. Coral reef in Honduras is an important resource that needs to be preserved. This study shows the development of a robot for monitoring coral reef, simplifying some challenges of underwater mechanical robot design. The robot development implements VDI 2206 model into cycles the lab design and the prototype integration. Because of different force estimations, simulations and field test the robot accomplish its task. PWM outputs control the force thrust. Internal sensors for leaks and temperature assure the robot functions. The vision system detect motion to take videos and photos every 2 minutes. Sea water temperature, videos, and photos are stored in a minicomputer. The flow simulation assures robot mechanical design to accomplish its task. The control should be improve adding a mathematical model for the robot displacement underwater.
气候变化正在影响着世界上所有的生态系统,机器人应用的重点是监测生态系统的影响。洪都拉斯的珊瑚礁是一种需要保护的重要资源。本研究展示了一种用于监测珊瑚礁的机器人的开发,简化了水下机械机器人设计的一些挑战。机器人的开发实现了VDI 2206模型的循环实验设计和样机集成。通过不同的力估计、仿真和现场测试,机器人完成了任务。PWM输出控制力推力。内部传感器泄漏和温度保证机器人的功能。视觉系统每两分钟检测一次运动,拍摄视频和照片。海水温度、视频和照片都存储在一台小型计算机中。流动仿真是机器人机械设计完成任务的保证。通过建立水下机器人位移的数学模型,对控制进行改进。
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引用次数: 12
Action Recognition Method for Multi-joint Industrial Robots Based on End-arm Vibration and BP Neural Network 基于端臂振动和BP神经网络的多关节工业机器人动作识别方法
Pub Date : 2021-04-16 DOI: 10.1109/ICCRE51898.2021.9435706
Ruiqi Ruan, Xiao-qin Liu, Xing Wu
Recognizing the motion of the multi-joint industrial robot from the measurement signal is helpful to link the test signal with the motion joint and improve the accuracy of state evaluation. A motion recognition method for multi-joint industrial robots based on end-arm vibration and Back Propagation (BP) neural network is proposed in this paper. A three-axis vibration sensor is installed on the last joint of the multi-joint industrial robot to obtain the vibration signals and then segment the acquired signal according to the length of time and extract the features, establish a feature matrix, train the network model through a single joint motion feature matrix, and finally identify the action corresponding to each small segment of the signal in the multi-joint motion of the robot through the model. The experimental results show that the proposed motion recognition method based on end-arm vibration and BP neural network has high practical value in action state recognition of multi-joint industrial robots.
从测量信号中识别多关节工业机器人的运动,有助于将测试信号与运动关节联系起来,提高状态评估的准确性。提出了一种基于臂端振动和BP神经网络的多关节工业机器人运动识别方法。在多关节工业机器人的最后一个关节上安装三轴振动传感器,获取振动信号,然后根据时间长度对采集到的信号进行分割并提取特征,建立特征矩阵,通过单个关节运动特征矩阵训练网络模型,最后通过模型识别机器人多关节运动中信号的每个小片段所对应的动作。实验结果表明,所提出的基于臂端振动和BP神经网络的运动识别方法在多关节工业机器人的动作状态识别中具有较高的实用价值。
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引用次数: 1
期刊
2021 6th International Conference on Control and Robotics Engineering (ICCRE)
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