Industrial Robot: Volume 50 Issue 5
Strapline:
The international journal of robotics research and applicationTable of contents
The role of robots in the electronics industry
Robert BogueThis paper aims to illustrate the growing role of robots in the electronics industries.
Robotic friction stir welding – seam-tracking control, force control and process supervision
Martin Karlsson, Fredrik Bagge Carlson, Martin Holmstrand, Anders Robertsson, Jeroen De Backer, Luisa Quintino, Eurico Assuncao, Rolf JohanssonThis study aims to enable robotic friction stir welding (FSW) in practice. The use of robots has hitherto been limited, because of the large contact forces necessary for FSW…
Research on active disturbance rejection control technique for underwater welding robot based on model compensation
Shengqian Li, Xiaofan ZhangAn active disturbance rejection controller (ADRC) based on model compensation is proposed in this paper. The method should first be taken a nominal model of the robot to…
Hybrid-disturbance-observer-based interaction control for a fully actuated UAV with tether-based positioning system
Ran Jiao, Yongfeng Rong, Mingjie Dong, Jianfeng LiThis paper aims to tackle the problem for a fully actuated unmanned aerial vehicle (FUAV) to perform physical interaction tasks in the Global Positioning System-denied…
Modeling and calibration of high-order joint-dependent kinematic errors of serial robot based on local POE
Yujie Zhang, Jing Cui, Yang Li, Zhongyi ChuThis paper aims to address the issue of model discontinuity typically encountered in traditional Denavit-Hartenberg (DH) models. To achieve this, we propose the use of a local…
Augmented reality-assisted gesture-based teleoperated system for robot motion planning
Ahmed Eslam Salman, Magdy Raouf RomanThe study proposed a human–robot interaction (HRI) framework to enable operators to communicate remotely with robots in a simple and intuitive way. The study focused on the…
Cone–hole docking mechanism for a modular reconfigurable mobile robot and its characteristic analysis
Shufeng Tang, Renjie Huang, Guoqing Zhao, Guoqing WangThe purpose of this paper is that the modular mobile robots reformed the multimachine joint mode to achieve obstacle-crossing, climbing and other multifunctional inspection in…
Autonomous exploration through deep reinforcement learning
Xiangda Yan, Jie Huang, Keyan He, Huajie Hong, Dasheng XuRobots equipped with LiDAR sensors can continuously perform efficient actions for mapping tasks to gradually build maps. However, with the complexity and scale of the environment…
A humanoid robot teleoperation approach based on waist–arm coordination
Xinyang Fan, Xin Shu, Baoxu Tu, Changyuan Liu, Fenglei Ni, Zainan JiangIn the current teleoperation system of humanoid robots, the control between arms and the control between the waist and arms are individual and lack coordinated motion. This paper…
A nonlinear robot joint friction compensation method including stick and sliding characteristics
Yanli Feng, Ke Zhang, Haoyu Li, Jingyu WangDue to dynamic model is the basis of realizing various robot control functions, and it determines the robot control performance to a large extent, this paper aims to improve the…
Manipulability optimization of redundant manipulators using reinforcement learning
Haoqiang Yang, Xinliang Li, Deshan Meng, Xueqian Wang, Bin LiangThe purpose of this paper is using a model-free reinforcement learning (RL) algorithm to optimize manipulability which can overcome difficulties of dilemmas of matrix inversion…
A robust and simple collision avoidance approach for pick and place robot applications
Cengiz DenizThe aim of this study is to create a robust and simple collision avoidance approach based on quaternion algebra for vision-based pick and place applications in manufacturing…
Adaptive friction compensation control of robotic pneumatic end-effector based on LuGre model
Shijie Dai, Shida Li, Wenbin Ji, Ruiqin Wang, Shuyuan LiuConsidering the response lag and viscous slip oscillation of the system caused by cylinder piston friction during automatic polishing of aero-engine blades by a robotic pneumatic…
A learning trajectory planning for vibration suppression of industrial robot
Yanbiao Zou, Tao Liu, Tie Zhang, Hubo ChuThis paper aims to propose a learning exponential jerk trajectory planning to suppress the residual vibrations of industrial robots.
ISSN:
0143-991Xe-ISSN:
1758-5791ISSN-L:
0143-991XOnline date, start – end:
1973Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Dr Dimitrios Chrysostomou