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Industrial Robot-The International Journal of Robotics Research and Application最新文献

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Human-robot force cooperation analysis by deep reinforcement learning 基于深度强化学习的人机力协同分析
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-12-01 DOI: 10.1108/ir-05-2022-0135
Shaodong Li, Xiao-hua Yuan, Hongjian Yu
PurposeThis study aims to realize natural and effort-saving motion behavior and improve effectiveness for different operators in human–robot force cooperation.Design/methodology/approachThe parameter of admittance model is identified by deep deterministic policy gradient (DDPG) to realize human–robot force cooperation for different operators in this paper. The movement coupling problem of hybrid robot is solved by realizing position and pose drags. In DDPG, minimum jerk trajectory is selected as the reward objective function, and the variable prioritized experience replay is applied to balance the exploration and exploitation.FindingsA series of simulations are implemented to validate the superiority and stability of DDPG. Furthermore, three sets of experiments involving mass parameter, damping parameter and DDPG are implemented, the effect of DDPG in real environment is validated and could meet the cooperation demand for different operators.Originality/valueDDPG is applied in admittance model identification to realize human–robot force cooperation for different operators. And minimum jerk trajectory is introduced into reward objective to meet requirement of human arm free movements. The algorithm proposed in this paper could be further extended in the other operation task.
目的实现人-机器人力量协作中不同操作者的自然省力运动行为,提高效率。设计方法采用深度确定性策略梯度(deep deterministic policy gradient, DDPG)识别导纳模型参数,实现不同操作人员的人机力协同。通过实现位姿阻力,解决了混合动力机器人的运动耦合问题。在DDPG中,选择最小的跳跃轨迹作为奖励目标函数,并采用可变优先级的经验重播来平衡探索和开发。通过一系列的仿真验证了DDPG的优越性和稳定性。在此基础上,进行了质量参数、阻尼参数和DDPG三组实验,验证了DDPG在实际环境中的效果,能够满足不同操作者的协同需求。将Originality/valueDDPG应用于导纳模型识别,实现不同操作人员的人机力协同。为了满足人体手臂自由运动的要求,在奖励目标中引入了最小跳动轨迹。本文提出的算法可以进一步扩展到其他操作任务中。
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引用次数: 1
A robotic 3D printing system for supporting-free manufacturing of complex model based on FDM technology 基于FDM技术的复杂模型无支撑制造机器人3D打印系统
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-30 DOI: 10.1108/ir-05-2022-0136
Xishuang Jing, Duanping Lv, F. Xie, C. Zhang, Siyu Chen, Ben Mou
Purpose3D printing technology has the characteristics of fast forming and low cost and can manufacture parts with complex structures. At present, it has been widely used in various manufacturing fields. However, traditional 3-axis printing has limitations of the support structure and step effect due to its low degree of freedom. The purpose of this paper is to propose a robotic 3D printing system that can realize support-free printing of parts with complex structures.Design/methodology/approachA robotic 3D printing system consisting of a 6-degrees of freedom robotic manipulator with a material extrusion system is proposed for multi-axis additive manufacturing applications. And the authors propose an approximation method for the extrusion value E based on the accumulated arc length of the already printed points, which is used to realize the synchronous movement between multiple systems. Compared with the traditional 3-axis printing system, the proposed robotic 3D printing system can provide greater flexibility when printing complex structures and even realize curved layer printing.FindingsTwo printing experiments show that compared with traditional 3D printing, a multi-axis 3D printing system saves 47% and 79% of materials, respectively, and the mechanical properties of curved layer printing using a multi-axis 3D printing system are also better than that of 3-axis printing.Originality/valueThis paper shows a simple and effective method to realize the synchronous movement between multiple systems so as to develop a robotic 3D printing system that can realize support-free printing and verifies the feasibility of the system through experiments.
目的3d打印技术具有快速成型和低成本的特点,可以制造结构复杂的零件。目前已广泛应用于各个制造领域。传统的三轴打印由于其自由度低,存在支撑结构和台阶效应的限制。本文的目的是提出一种能够实现复杂结构零件无支撑打印的机器人3D打印系统。提出了一种用于多轴增材制造的机器人3D打印系统,该系统由6自由度机械臂和材料挤压系统组成。提出了一种基于已打印点的累计弧长求得挤出值E的近似方法,用于实现多系统间的同步运动。与传统的三轴打印系统相比,所提出的机器人3D打印系统在打印复杂结构时具有更大的灵活性,甚至可以实现弯曲层打印。两项打印实验表明,与传统3D打印相比,多轴3D打印系统分别节省了47%和79%的材料,并且使用多轴3D打印系统打印的弯曲层的力学性能也优于三轴打印。本文提出了一种简单有效的方法来实现多个系统之间的同步运动,从而开发出一种可以实现无支撑打印的机器人3D打印系统,并通过实验验证了系统的可行性。
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引用次数: 1
Robot vision-based control strategy to suppress residual vibration of a flexible beam for assembly 基于机器人视觉的装配柔性梁残余振动抑制策略
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-23 DOI: 10.1108/ir-07-2022-0169
Chetan Jalendra, B. K. Rout, Amol Marathe
PurposeIndustrial robots are extensively used in the robotic assembly of rigid objects, whereas the assembly of flexible objects using the same robot becomes cumbersome and challenging due to transient disturbance. The transient disturbance causes vibration in the flexible object during robotic manipulation and assembly. This is an important problem as the quick suppression of undesired vibrations reduces the cycle time and increases the efficiency of the assembly process. Thus, this study aims to propose a contactless robot vision-based real-time active vibration suppression approach to handle such a scenario.Design/methodology/approachA robot-assisted camera calibration method is developed to determine the extrinsic camera parameters with respect to the robot position. Thereafter, an innovative robot vision method is proposed to identify a flexible beam grasped by the robot gripper using a virtual marker and obtain the dimension, tip deflection as well as velocity of the same. To model the dynamic behaviour of the flexible beam, finite element method (FEM) is used. The measured dimensions, tip deflection and velocity of a flexible beam are fed to the FEM model to predict the maximum deflection. The difference between the maximum deflection and static deflection of the beam is used to compute the maximum error. Subsequently, the maximum error is used in the proposed predictive maximum error-based second-stage controller to send the control signal for vibration suppression. The control signal in form of trajectory is communicated to the industrial robot controller that accommodates various types of delays present in the system.FindingsThe effectiveness and robustness of the proposed controller have been validated using simulation and experimental implementation on an Asea Brown Boveri make IRB 1410 industrial robot with a standard low frame rate camera sensor. In this experiment, two metallic flexible beams of different dimensions with the same material properties have been considered. The robot vision method measures the dimension within an acceptable error limit i.e. ±3%. The controller can suppress vibration amplitude up to approximately 97% in an average time of 4.2 s and reduces the stability time up to approximately 93% while comparing with control and without control suppression time. The vibration suppression performance is also compared with the results of classical control method and some recent results available in literature.Originality/valueThe important contributions of the current work are the following: an innovative robot-assisted camera calibration method is proposed to determine the extrinsic camera parameters that eliminate the need for any reference such as a checkerboard, robotic assembly, vibration suppression, second-stage controller, camera calibration, flexible beam and robot vision; an approach for robot vision method is developed to identify the object using a virtual marker and measure its dimension gras
目的工业机器人广泛应用于刚性物体的机器人装配,但由于瞬态干扰,使用同一机器人进行柔性物体的装配变得非常麻烦和具有挑战性。在机器人操作和装配过程中,瞬态扰动会引起柔性物体的振动。这是一个重要的问题,因为快速抑制不希望的振动减少了循环时间,提高了装配过程的效率。因此,本研究旨在提出一种基于非接触式机器人视觉的实时主动振动抑制方法来处理这种情况。设计/方法学/方法为了确定与机器人位置相关的相机外部参数,提出了一种机器人辅助相机标定方法。在此基础上,提出了一种新颖的机器人视觉方法,利用虚拟标记对机器人夹持器抓取的柔性梁进行识别,并获得了夹持器的尺寸、尖端挠度和速度。采用有限元法对柔性梁的动力特性进行建模。将柔性梁的测量尺寸、尖端挠度和速度输入有限元模型,以预测柔性梁的最大挠度。梁的最大挠度与静挠度之差用于计算最大误差。然后,在基于预测最大误差的二级控制器中利用最大误差发送控制信号进行振动抑制。以轨迹形式的控制信号被传送到工业机器人控制器,该控制器容纳系统中存在的各种类型的延迟。该控制器的有效性和鲁棒性已通过仿真和实验在Asea Brown Boveri制造的带有标准低帧率相机传感器的IRB 1410工业机器人上得到验证。本实验考虑了具有相同材料性能的两种不同尺寸的金属柔性梁。机器人视觉方法在可接受的误差范围内测量尺寸,即±3%。与控制和无控制抑制时间相比,该控制器在4.2 s的平均时间内可抑制振动幅值约97%,稳定时间可减少约93%。并与经典控制方法的结果和一些最新的文献结果进行了比较。本文的主要贡献有:提出了一种创新的机器人辅助摄像机标定方法,以确定摄像机的外部参数,从而消除了棋盘、机器人装配、振动抑制、第二级控制器、摄像机标定、柔性梁和机器人视觉等参考;提出了一种机器人视觉方法,利用虚拟标记识别物体,并测量机器人夹持器捕获的物体尺寸;所开发的机器人视觉控制器与柔性梁有限元模型协同工作,预测末端位置,有助于处理不同尺寸和材料类型;提出了一种方法来处理不同类型的延迟,这些延迟是有效抑制振动的实现的一部分;该方法采用低帧率和低成本的摄像机作为第二级控制器,并且不干扰工业机器人的内部控制器。
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引用次数: 1
The first half century of industrial robot: 50 years of robotic developments 工业机器人的前半个世纪:机器人发展的50年
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-09 DOI: 10.1108/ir-10-2022-0251
R. Bogue
PurposeThis paper aims to trace the technological and commercial developments in robotics over the last 50 years, from 1973, the year in which this journal was founded, to the present day.Design/methodology/approachFollowing an introduction, this identifies key robot developments on a decade-by-decade basis and considers research, products, applications and corporate activity and also highlights many of the enabling technologies. Brief conclusions are draw.FindingsThe robot industry has changed beyond all recognition during the last half century. Enabled by developments in microelectronics, computing, sensors, imaging technologies, data communication and power sources, today robots satisfy a multitude of applications and play a role in almost every sphere of human activity.Originality/valueThis provides a detailed review of robotic developments during the last 50 years.
本文旨在追溯机器人技术和商业发展在过去的50年,从1973年,这一年的杂志成立,到现在。设计/方法学/方法在介绍之后,本文确定了十年来机器人的关键发展,并考虑了研究、产品、应用和企业活动,并强调了许多使能技术。得出了简短的结论。在过去的半个世纪里,机器人产业发生了翻天覆地的变化。在微电子、计算、传感器、成像技术、数据通信和电源的发展下,今天的机器人满足了大量的应用,几乎在人类活动的每个领域都发挥着作用。原创性/价值这篇文章详细回顾了过去50年机器人的发展。
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引用次数: 0
Kinematic modeling of a spatial three degrees-of-freedom compliant micro-motion parallel mechanism considering input coupling effect and bilateral restrained torsion 考虑输入耦合效应和双边约束扭转的空间三自由度柔顺微动并联机构运动学建模
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-09 DOI: 10.1108/ir-06-2022-0146
Zhicheng Song, Xiang Li, Xiaolong Yang, Yao Li, Linkang Wang, Hongtao Wu
PurposeThis paper aims to improve the kinematic modeling accuracy of a spatial three-degrees-of-freedom compliant micro-motion parallel mechanism by proposing a modified modeling method based on the structural matrix method (SMM).Design/methodology/approachThis paper analyzes the problem that the torsional compliance equation of the circular notched hinge is no longer applicable because it is subject to bilateral restrained torsion. The torsional compliance equation is modified by introducing the relative length coefficient. The input coupling effect, which is often neglected, is considered in kinematic modeling. The symbolic expression of the input coupling matrix is obtained. Theory, simulation and experimentation are presented to show the validity of the proposed kinematic model.FindingsThe results show that the proposed kinematics model can improve the modeling accuracy by comparing the theoretical, finite element method (FEM) and experimental method.Originality/valueThis work provides a feasible scheme for CMPM kinematics modeling. It can be better applied to the optimization design based on the kinematic model in the future.
为了提高空间三自由度柔顺微动并联机构的运动学建模精度,提出了一种基于结构矩阵法(SMM)的改进建模方法。设计方法分析了圆形缺口铰受双边约束扭转影响而不再适用扭转柔度方程的问题。引入相对长度系数对扭转柔度方程进行了修正。在运动学建模中考虑了常被忽略的输入耦合效应。得到了输入耦合矩阵的符号表达式。理论、仿真和实验证明了所提出的运动学模型的有效性。通过理论、有限元法和实验方法的比较,结果表明所提出的运动学模型可以提高建模精度。本文为CMPM运动学建模提供了一种可行的方案。今后可以更好地应用于基于运动学模型的优化设计。
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引用次数: 1
A robotic polishing trajectory planning method for TBCs of aero-engine turbine blade using measured point cloud 基于测点云的航空发动机涡轮叶片机械抛光轨迹规划方法
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-11-02 DOI: 10.1108/ir-05-2022-0141
Xufeng Liang, Zhenhua Cai, Chunnian Zeng, Zixin Mu, Zifan Li, Fan Yang, Tingyang Chen, S. Dong, Chunming Deng, S. Niu
PurposeThe application of thermal barrier coatings (TBCs) allows aero-engine blades to operate at higher temperatures with higher efficiency. The preparation of the TBCs increases the surface roughness of the blade, which impacts the thermal cycle life and thermal insulation performance of the coating. To reduce the surface roughness of blades, particularly the blades with small size and complex curvature, this paper aims to propose a method for industrial robot polishing trajectory planning based on on-site measuring point cloud.Design/methodology/approachThe authors propose an integrated robotic polishing trajectory planning method using point cloud processing technical. At first, the acquired point cloud is preprocessed, which includes filtering and plane segmentation algorithm, to extract the blade body point cloud. Then, the point cloud slicing algorithm and the intersection method are used to create a preliminary contact point set. Finally, the Douglas–Peucker algorithm and pose frame estimation are applied to extract the tool-tip positions and optimize the tool contact posture, respectively. The resultant trajectory is evaluated by simulation and experiment implementation.FindingsThe target points of trajectory are not evenly distributed on the blade surface but rather fluctuate with surface curvature. The simulated linear and orientation speeds of the robot end could be relatively steady over 98% of the total time within 20% reduction of the rest time. After polishing experiments, the coating roughness on the blade surface is reduced dramatically from Ra 7–8 µm to below Ra 1.0 µm. The removal of the TBCs is less than 100 mg, which is significantly less than the weight of the prepared coatings. The blade surface becomes smoothed to a mirror-like state.Originality/valueThe research on robotic polishing of aero-engine turbine blade TBCs is worthwhile. The real-time trajectory planning based on measuring point cloud can address the problem that there is no standard computer-aided drawing model and the geometry and size of the workpiece to be processed differ. The extraction and optimization of tool contact points based on point cloud features can enhance the smoothness of the robot movement, stability of the polishing speed and performance of the blade surface after polishing.
目的热障涂层(tbc)的应用可以使航空发动机叶片在更高的温度下以更高的效率工作。涂层的制备增加了叶片的表面粗糙度,影响了涂层的热循环寿命和隔热性能。为了降低叶片,特别是小尺寸、复杂曲率叶片的表面粗糙度,本文旨在提出一种基于现场测点云的工业机器人抛光轨迹规划方法。提出了一种基于点云处理技术的机器人抛光轨迹综合规划方法。首先,对获取的点云进行预处理,包括滤波和平面分割算法,提取叶片体点云;然后,利用点云切片算法和交点法建立初步接触点集;最后,采用Douglas-Peucker算法和位姿帧估计分别提取刀尖位置和优化刀具接触姿态。通过仿真和实验验证了所得到的轨迹。结果表明:轨迹目标点在叶片表面的分布并不均匀,而是随叶片表面曲率的变化而波动。仿真得到的机器人末端的直线速度和方向速度在98%以上的时间内相对稳定,且静止时间减少20%。经过抛光实验,叶片表面涂层粗糙度从Ra 7 ~ 8µm显著降低到Ra 1.0µm以下。tbc的去除率小于100 mg,明显小于所制备涂层的重量。叶片表面光滑成镜面状。研究航空发动机涡轮叶片tbc的机器人抛光是有价值的。基于测点云的实时轨迹规划可以解决没有标准的计算机辅助绘图模型以及被加工工件几何形状和尺寸不一致的问题。基于点云特征的刀具接触点提取与优化,可以增强机器人运动的平稳性、抛光速度的稳定性和抛光后刀片表面的性能。
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引用次数: 3
A human augmentation device design review: supernumerary robotic limbs 一种人体增强装置设计综述:多余机械肢体
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-10-27 DOI: 10.1108/ir-03-2022-0079
Ziyu Liao, Bai Chen, Tianzuo Chang, Qianjian Zheng, Keming Liu, Junnan Lv
PurposeSupernumerary robotic limbs (SRLs) are a new type of wearable robot, which improve the user’s operating and perceive the user’s environment by extra robotic limbs. There are some literature reviews about the SRLs’ key technology and development trend, but the design of SRLs has not been fully discussed and summarized. This paper aims to focus on the design of SRLs and provides a comprehensive review of the ontological structure design of SRLs.Design/methodology/approachIn this paper, the related literature of SRLs is summarized and analyzed by VOSviewer. The structural features of different types of SRLs are extracted, and then discuss the design approach and characteristics of SRLs which are different from typical wearable robots.FindingsThe design concept of SRLs is different from the conventional wearable robots. SRLs have various reconfiguration and installed positions, and it will influence the safety and cooperativeness performance of SRLs.Originality/valueThis paper focuses on discussing the structural design of SRLs by literature review, and this review will help researchers understand the structural features of SRLs and key points of the ontological design of SRLs, which can be used as a reference for designing SRLs.
目的增强型机器人四肢是一种新型的可穿戴机器人,它通过增强型肢体来提高用户的操作能力和感知用户所处的环境。目前已有一些文献综述了SRLs的关键技术和发展趋势,但对SRLs的设计并没有进行充分的讨论和总结。本文主要讨论了语义语义库的设计,并对语义语义库的本体结构设计进行了综述。本文利用VOSviewer对srl的相关文献进行了总结和分析。提取了不同类型srl的结构特征,讨论了不同于典型可穿戴机器人的设计方法和特点。srl的设计理念不同于传统的可穿戴机器人。sll具有多种重新配置和安装位置,这将影响sll的安全性和协同性能。原创性/价值本文主要通过文献综述的方式来探讨srl的结构设计,这有助于研究者了解srl的结构特征和srl本体设计的要点,为srl的设计提供参考。
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引用次数: 2
A hierarchical visual model for robot automatic arc welding guidance 机器人自动弧焊引导的分层视觉模型
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-10-25 DOI: 10.1108/ir-05-2022-0127
Chen Chen, Tingyang Chen, Zhenhua Cai, Chunnian Zeng, Xiaoyue Jin
PurposeThe traditional vision system cannot automatically adjust the feature point extraction method according to the type of welding seam. In addition, the robot cannot self-correct the laying position error or machining error. To solve this problem, this paper aims to propose a hierarchical visual model to achieve automatic arc welding guidance.Design/methodology/approachThe hierarchical visual model proposed in this paper is divided into two layers: welding seam classification layer and feature point extraction layer. In the welding seam classification layer, the SegNet network model is trained to identify the welding seam type, and the prediction mask is obtained to segment the corresponding point clouds. In the feature point extraction layer, the scanning path is determined by the point cloud obtained from the upper layer to correct laying position error. The feature points extraction method is automatically determined to correct machining error based on the type of welding seam. Furthermore, the corresponding specific method to extract the feature points for each type of welding seam is proposed. The proposed visual model is experimentally validated, and the feature points extraction results as well as seam tracking error are finally analyzed.FindingsThe experimental results show that the algorithm can well accomplish welding seam classification, feature points extraction and seam tracking with high precision. The prediction mask accuracy is above 90% for three types of welding seam. The proposed feature points extraction method for each type of welding seam can achieve sub-pixel feature extraction. For the three types of welding seam, the maximum seam tracking error is 0.33–0.41 mm, and the average seam tracking error is 0.11–0.22 mm.Originality/valueThe main innovation of this paper is that a hierarchical visual model for robotic arc welding is proposed, which is suitable for various types of welding seam. The proposed visual model well achieves welding seam classification, feature point extraction and error correction, which improves the automation level of robot welding.
目的传统视觉系统无法根据焊缝类型自动调整特征点提取方法。此外,机器人不能自我修正铺设位置误差或加工误差。针对这一问题,本文提出了一种分层视觉模型来实现自动弧焊引导。本文提出的分层视觉模型分为两层:焊缝分类层和特征点提取层。在焊缝分类层,训练SegNet网络模型识别焊缝类型,获得预测掩模对相应的点云进行分割;在特征点提取层,由上层获得的点云确定扫描路径,以校正铺设位置误差。根据焊缝类型,自动确定特征点提取方法以修正加工误差。在此基础上,针对不同类型的焊缝提出了相应的特征点提取方法。实验验证了所提出的视觉模型,最后分析了特征点提取结果和焊缝跟踪误差。实验结果表明,该算法能较好地完成焊缝分类、特征点提取和焊缝跟踪,精度较高。三种类型焊缝的预测掩模精度均在90%以上。所提出的特征点提取方法对各类焊缝均可实现亚像素级特征提取。对于三种焊缝,最大焊缝跟踪误差为0.33 ~ 0.41 mm,平均焊缝跟踪误差为0.11 ~ 0.22 mm。本文的主要创新之处在于提出了一种适用于不同类型焊缝的机器人弧焊分层视觉模型。该可视化模型较好地实现了焊缝分类、特征点提取和误差校正,提高了机器人焊接的自动化水平。
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引用次数: 0
Robotic direct grinding for unknown workpiece contour based on adaptive constant force control and human-robot collaboration 基于自适应恒力控制和人机协作的未知工件轮廓机器人直接磨削
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-10-03 DOI: 10.1108/ir-01-2022-0021
Wei Zhao, Juliang Xiao, Sijiang Liu, Saixiong Dou, Haitao Liu
PurposeIn customized production such as plate workpiece grinding, because of the diversity of the workpiece shapes and the positional/orientational clamping errors, great efforts are taken to repeatedly calibrate and program the robots. To change this situation, the purpose of this study is to propose a method of robotic direct grinding for unknown workpiece contour based on adaptive constant force control and human–robot collaboration.Design/methodology/approachFirst, an adaptive constant force controller based on stiffness estimation is proposed, which can distinguish the contact of the human hand and the unknown workpiece contour. Second, a normal vector search algorithm is developed to calculate the normal vector of the unknown workpiece contour in real-time. Finally, the force and position are controlled in the calculated normal and tangential directions to realize the direct grinding.FindingsThe method considers the disturbance of the tangential grinding force and the friction, so the robot can track and grind the workpiece contour simultaneously. The experiments prove that the method can ensure the force error and the normal vector calculating error within 0.3 N and 4°. This human–robot collaboration pattern improves the convenience of the grinding process.Research limitations/implicationsThe proposed method realizes constant force grinding of unknown workpiece contour in real-time and ensures the grinding consistency. In addition, combined with human–robot collaboration, the method saves the time spent in repeated calibration and programming.Originality/valueCompared with other related research, this method has better accuracy and anti-disturbance capability of force control and normal vector calculation during the actual grinding process.
目的在板材磨削等定制生产中,由于工件形状的多样性和位置/方向夹持误差,需要花费大量精力对机器人进行反复校准和编程。为了改变这一现状,本研究提出了一种基于自适应恒力控制和人机协作的未知工件轮廓机器人直接磨削方法。设计/方法/方法首先,提出了一种基于刚度估计的自适应恒力控制器,该控制器可以区分人手接触和未知工件轮廓;其次,提出了一种法向量搜索算法,用于实时计算未知工件轮廓的法向量;最后将力和位置控制在计算的法向和切向上,实现直接磨削。研究结果:该方法考虑了切向磨削力和摩擦的干扰,使机器人能够同时跟踪和磨削工件轮廓。实验证明,该方法能保证力误差和法向量计算误差在0.3 N和4°以内。这种人机协作模式提高了磨削过程的便利性。研究局限/启示提出的方法实现了对未知工件轮廓的恒力实时磨削,并保证了磨削一致性。此外,结合人机协作,该方法节省了反复校准和编程的时间。与其他相关研究相比,该方法在实际磨削过程中的力控制和法向量计算具有更好的精度和抗干扰能力。
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引用次数: 2
Human-robot kinematics mapping method based on dynamic equivalent points 基于动态等效点的人-机器人运动学映射方法
IF 1.8 4区 计算机科学 Q2 Engineering Pub Date : 2022-09-14 DOI: 10.1108/ir-02-2022-0056
Jing Zhao, Xin Wang, Biyun Xie, Ziqiang Zhang
PurposeThis paper aims to present a new kinematics mapping method based on dynamic equivalent points. In teleoperation, this method enables a robotic (follower) arm to mimic human (leader) arm postures and avoid obstacles in a human-like manner.Design/methodology/approachThe information of the human arm is extracted based on the characteristics of human arm motion, and the concept of equivalent points is introduced. Then, an equivalent point is determined to transform the robotic arm with a nonhuman-like kinematic structure into an anthropomorphic robotic arm. Based on this equivalent point, a mapping method is developed to ensure that the two arms are similar. Finally, the similarity between the human elbow angle and robot elbow angle is further improved by using this method and an augmented Jacobian matrix with a compensation coefficient.FindingsNumerical simulations and physical prototype experiments are conducted to verify the effectiveness and feasibility of the proposed method. In environments with obstacles, this method can adjust the position of the equivalent point in real time to avoid obstacles. In environments without obstacles, the similarity between the human elbow angle and robot elbow angle is further improved at the expense of the end-effector accuracy.Originality/valueThis study presents a new kinematics mapping method, which can realize the complete mapping between the human arm and heterogeneous robotic arm in teleoperation. This method is versatile and can be applied to various mechanical arms with different structures.
目的提出一种新的基于动态等效点的运动学映射方法。在远程操作中,这种方法使机器人(跟随者)手臂能够模仿人类(领导者)手臂的姿势,并以类似人类的方式避开障碍物。设计/方法/方法根据人体手臂运动的特点提取人体手臂的信息,并引入等效点的概念。然后,确定一个等效点,将具有非人形运动结构的机械臂转化为拟人机械臂。在此等效点的基础上,提出了一种保证两臂相似的映射方法。最后,利用该方法和带补偿系数的增广雅可比矩阵进一步提高了人肘角与机器人肘角的相似性。通过数值模拟和物理样机实验验证了该方法的有效性和可行性。在有障碍物的环境中,该方法可以实时调整等效点的位置以避开障碍物。在无障碍物环境下,以牺牲末端执行器的精度为代价,进一步提高了人肘关节角度与机器人肘关节角度的相似性。提出了一种新的运动学映射方法,可实现遥操作中人臂与异种机械臂的完全映射。该方法具有通用性,可适用于各种不同结构的机械臂。
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Industrial Robot-The International Journal of Robotics Research and Application
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