Industrial Robot: Volume 48 Issue 5

Guest editorial

Jianhua Zhang, Shengyong Chen, Honghai Liu, Naoyuki Kubota

The Pransky interview: Brennard Pierce: world class robotics designer and serial entrepreneur

Joanne Pransky

The purpose of this paper is to provide a “Q&A interview” conducted by Joanne Pransky of Industrial Robot Journal as a method to impart the combined technological, business and…

Robots poised to transform agriculture

Rob Bogue

This paper aims to illustrate the growing importance of agricultural robots by providing details of recent product developments and their applications.

An anomaly detection method based on double encoder–decoder generative adversarial networks

Hui Liu, Tinglong Tang, Jake Luo, Meng Zhao, Baole Zheng, Yirong Wu

This study aims to address the challenge of training a detection model for the robot to detect the abnormal samples in the industrial environment, while abnormal patterns are very…

An autonomous vision-based shelf-reader robot using faster R-CNN

Mahdi Jampour, Amin KarimiSardar, Hossein Rezaei Estakhroyeh

The purpose of this study is to design, program and implement an intelligent robot for shelf-reading. an essential task in library maintenance is shelf-reading, which refers to…

Target tracking based on standard hedging and feature fusion for robot

Sixian Chan, Jian Tao, Xiaolong Zhou, Binghui Wu, Hongqiang Wang, Shengyong Chen

Visual tracking technology enables industrial robots interacting with human beings intelligently. However, due to the complexity of the tracking problem, the accuracy of visual…

Improving novelty detection by self-supervised learning and channel attention mechanism

Miao Tian, Ying Cui, Haixia Long, Junxia Li

In novelty detection, the autoencoder based image reconstruction strategy is one of the mainstream solutions. The basic idea is that once the autoencoder is trained on normal…

Densely connected Siamese network visual tracking

Xiaolong Zhou, Pinghao Wang, Sixian Chan, Kai Fang, Jianwen Fang

Visual object tracking plays a significant role in intelligent robot systems. This study aims to focus on unlocking the tracking performance potential of the deep network and…

Practical aspects of detection and grasping objects by a mobile manipulating robot

Bartłomiej Kulecki, Kamil Młodzikowski, Rafał Staszak, Dominik Belter

The purpose of this paper is to propose and evaluate the method for grasping a defined set of objects in an unstructured environment. To this end, the authors propose the method…

Intelligent control of quad-rotor aircrafts with a STM32 microcontroller using deep neural networks

Xiaochun Guan, Sheng Lou, Han Li, Tinglong Tang

Deployment of deep neural networks on embedded devices is becoming increasingly popular because it can reduce latency and energy consumption for data communication. This paper…

Supervised learning of mapping from sensor space to chained form for unknown non-holonomic driftless systems

Francisco Jesús Arjonilla García, Yuichi Kobayashi

This study aims to propose an offline exploratory method that consists of two stages: first, the authors focus on completing the kinematics model of the system by analyzing the…

Robotic system design and development for automated dismantling of PCB waste

Ioan Doroftei, Daniel Chirita, Ciprian Stamate, Stelian Cazan, Carlos Pascal, Adrian Burlacu

The mass electronics sector is one of the most critical sources of waste, in terms of volume and content with dangerous effects on the environment. The purpose of this study is to…

GLO-SLAM: a slam system optimally combining GPS and LiDAR odometry

Ruihao Lin, Junzhe Xu, Jianhua Zhang

Large-scale and precise three-dimensional (3D) map play an important role in autonomous driving and robot positioning. However, it is difficult to get accurate poses for mapping…

HDPL: a hybrid descriptor for points and lines based on graph neural networks

Zirui Guo, Huimin Lu, Qinghua Yu, Ruibin Guo, Junhao Xiao, Hongshan Yu

This paper aims to design a novel feature descriptor to improve the performance of feature matching in challenge scenes, such as low texture and wide-baseline scenes. Common…

Recent trends and role of large area flexible electronics in shape sensing application – a review

Riyaz Ali Shaik, Elizabeth Rufus

This paper aims to review the shape sensing techniques using large area flexible electronics (LAFE). Shape perception of humanoid robots using tactile data is mainly focused.