Article
Computer Science, Artificial Intelligence
Rong Jiang, Bin He, Zhipeng Wang, Yanmin Zhou, Shoulin Xu, Xin Li
Summary: This article proposes a novel closed-loop learning framework for autonomous robot skill learning, which can achieve effective policy simulation-to-reality transfer through a hybrid control model and pixel-level domain adaptation method. Experimental results validate the effectiveness of the framework.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2022)
Article
Automation & Control Systems
Tao Sun, Chaoyu Liu, Binbin Lian, Panfeng Wang, Yimin Song
Summary: A robot calibration method using finite and instantaneous screw theory is proposed in this article, defining errors explicitly, introducing an advanced optimization algorithm for identification, and compensating errors by modifying inputs.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Karla Stepanova, Jakub Rozlivek, Frantisek Puciow, Pavel Krsek, Tomas Pajdla, Matej Hoffmann
Summary: In this study, a robot kinematic calibration method that combines self contact, planar constraints, and self-observation approaches was proposed and evaluated. The results show that combining multiple calibration approaches outperforms using a single approach in terms of calibration errors and parameter observability. Additionally, sequential calibration was found to be more effective than simultaneous calibration in improving the generalizability of robot parameters.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Automation & Control Systems
Zhicheng Liu, Xilong Liu, Zhiqiang Cao, Xurong Gong, Min Tan, Junzhi Yu
Summary: This article proposes a new calibration method for vision-guided robot system based on error correction matrix, which achieves high precision joint calibration by unifying different manifestations of errors.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Engineering, Electrical & Electronic
Jie Xue, Zurong Qiu, Lin Fang, Yaohuan Lu, Wenchuan Hu
Summary: The article introduces the design of an angular measurement system based on a vertical instrument, using methods such as angular displacement and regular deformation patterns to improve measurement accuracy. It calibrates absolute circular gratings in the instrument and ultimately achieves accurate angle measurement of the tested reducer.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Engineering, Electrical & Electronic
Mingjun Cai, Huashan Liu, Menghua Dong
Summary: A novel pose-error calibration method for articulated serial robots based on three-closed-loop transformations is proposed in this article, which simplifies the calibration process without the need for expensive equipment. Experimental results demonstrate that the robot's pose error can be precisely detected and verified through different closed loops.
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
(2021)
Article
Optics
Jixiao Liu, Jupu Yang, Jingchen Li, Jialin Du, Siyang Yu, Fanxing Li, Jian Wang, Xi Zhang, Si Sun, Wei Yan
Summary: In this paper, a calibration method for high-precision zoom lenses of optical measurement machines based on Fully Connected Neural Network (FNN) is proposed. It achieves continuous calibration at any zoom setting by calibrating typical zooms, with better overall calibration precision and meeting the application requirements of high-precision optical measurement machines.
Article
Robotics
Alberto Dalla Libera, Nicola Castaman, Stefano Ghidoni, Ruggero Carli
Summary: This article presents an algorithm that learns a forward kinematics model of a robot from visual observations and evaluates its effectiveness through extensive simulations and experiments on a real UR10 robot.
IEEE TRANSACTIONS ON ROBOTICS
(2021)
Article
Optics
Runmu Cheng, Longxiang Li, Xingchang Li, Bai Yang, Xiao Luo, Donglin Xue, Xuejun Zhang
Summary: This study establishes a high-precision trajectory error measurement system and an iterative compensation method for trajectory error in robot-MRF systems. Experimental results demonstrate that this method can effectively improve the trajectory accuracy of the system and the polishing accuracy of optical components, promoting the application of industrial robots in optical manufacturing.
Article
Agriculture, Multidisciplinary
Hailong Li, Longzhe Quan, Yinghao Guo, Pengfei Pi, Yihui Shi, Zhaoxia Lou, Wei Jiang, Fulin Xia, Deng Sun, Yunhuan Yang, Wenchao Xu, Qian Chen
Summary: This study developed a high-precision patch-spraying robot system that conducts patch-spraying operations at the individual plant scale based on weed maps. The spraying effect is evaluated through post-spraying droplet deposition images. The research shows that the developed agricultural robot can perform patch-spraying operations at the individual plant scale, and modeling corrections for random errors improve the accuracy and precision of patch-spraying.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2023)
Article
Computer Science, Hardware & Architecture
Pablo Benlloch-Caballero, Qi Wang, Jose M. Alcaraz Calero
Summary: Internet of Things (IoT) is a major application area of the Fifth-Generation (5G) and beyond, capable of providing massive machine-type communications (mMTC) at a large scale. This paper proposes a new cognitive closed loop system to offer distributed dual-layer self-protection capabilities against Distributed Denial of Service (DDoS) attacks. The system has been designed, implemented, and experimentally validated, showing a high potential in the collaboration between stakeholders to achieve the goal of self-protection of infrastructures.
Article
Polymer Science
Stephen T. Knox, Sam J. Parkinson, Clarissa Y. P. Wilding, Richard A. Bourne, Nicholas J. Warren
Summary: The application of artificial intelligence and machine learning in polymer discovery and synthesis offers a new opportunity. Through a computationally controlled flow reactor and online real-time detection instruments, the optimization and synthesis of polymer formulations can be achieved autonomously without user intervention. This method allows for polymerization reactions under conditions that are usually forbidden, and can simultaneously optimize multiple polymer performance indicators.
Article
Engineering, Electrical & Electronic
Miguel Angel de Miguel, Carlos Guindel, Abdulla Al-Kaff, Fernando Garcia
Summary: This article proposes a new method for estimating the extrinsic calibration parameters between multibeam LiDAR sensors on a vehicle. The method does not require calibration patterns or reflective marks and the sensors do not need to overlap in their fields of view. An iterative closest point (ICP)-based process is used to determine the calibration parameters, improving convergence and accuracy. The approach is evaluated using the CARLA simulator and shows comparable accuracy to other approaches with more complex procedures.
IEEE SENSORS JOURNAL
(2023)
Article
Agriculture, Multidisciplinary
Yoshitomo Yamasaki, Mizuki Morie, Noboru Noguchi
Summary: In this study, a sensing system was developed to automatically acquire spectral reflection data using a hyperspectral camera for the purpose of developing a field scouting robot. The accuracy of estimating fractional vegetation cover (FVC) and soil plant analysis development (SPAD) value was verified by calculating the normalized difference vegetation index (NDVI) and comparing the results with the daytime measurements. The results showed that the accuracy was higher at night compared to the daytime for vegetation segmentation and FVC calculation, and a correlation was observed between FVC and SPAD value at night.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Automation & Control Systems
Jinsong Kang, Hao Fang, Yufu Hao
Summary: This article proposes a closed-loop evaluation method based on low-cost health data to evaluate and optimize the performance of industrial robots. The method includes extracting performance patterns, designing evaluation criterion sets, and establishing evaluation models, and its effectiveness is verified using an actual robot.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2023)
Article
Chemistry, Analytical
Ahmed Joubair, Long Fei Zhao, Pascal Bigras, Ilian A. Bonev
Article
Automation & Control Systems
Tingting Shu, Sepehr Gharaaty, WenFang Xie, Ahmed Joubair, Ilian A. Bonev
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2018)
Article
Engineering, Industrial
Mohamed Slamani, Albert Nubiola, Ilian Bonev
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
(2012)
Article
Engineering, Mechanical
MohammadHadi FarzanehKaloorazi, Ilian A. Bonev, Lionel Birglen
MECHANISM AND MACHINE THEORY
(2018)
Article
Engineering, Multidisciplinary
Albert Nubiola, Mohamed Slamani, Ilian A. Bonev
PRECISION ENGINEERING-JOURNAL OF THE INTERNATIONAL SOCIETIES FOR PRECISION ENGINEERING AND NANOTECHNOLOGY
(2013)
Article
Robotics
Mohamed Slamani, Albert Nubiola, Ilian A. Bonev
Article
Computer Science, Interdisciplinary Applications
Ahmed Joubair, Mohamed Slamani, Ilian A. Bonev
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2012)
Article
Computer Science, Interdisciplinary Applications
Albert Nubiola, Ilian A. Bonev
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2013)
Article
Computer Science, Interdisciplinary Applications
Ahmed Joubair, Mohamed Slamani, Ilian A. Bonev
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2013)
Article
Engineering, Mechanical
Mohamed Slamani, Albert Nubiola, Ilian A. Bonev
TRANSACTIONS OF THE CANADIAN SOCIETY FOR MECHANICAL ENGINEERING
(2012)
Article
Automation & Control Systems
Kaveh Kamali, Ilian A. Bonev
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2019)
Article
Chemistry, Analytical
Caglar Icli, Oleksandr Stepanenko, Ilian Bonev
Article
Automation & Control Systems
Tarek A. Khaled, Ouassima Akhrif, Ilian A. Bonev
Summary: Commercial six-axis industrial robots, while highly repeatable, have relatively low accuracy. The only way for users to improve path accuracy is by guiding the robot with external sensor and a control algorithm. This article presents a practical application of an active disturbance rejection control scheme to improve the path accuracy of the Meca500 robot by indirectly modifying the end-effector pose through controlling robot joint or Cartesian velocity.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2021)
Article
Robotics
Nicholas A. Nadeau, Ilian A. Bonev, Ahmed Joubair