Industrial Robot: Volume 50 Issue 5

The role of robots in the electronics industry

Robert Bogue

This 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 Johansson

This 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 Zhang

An 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 Li

This 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 Chu

This 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 Roman

The 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 Wang

The 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 Xu

Robots 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 Jiang

In 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 Wang

Due 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 Liang

The 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 Deniz

The 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 Liu

Considering 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 Chu

This paper aims to propose a learning exponential jerk trajectory planning to suppress the residual vibrations of industrial robots.