Review
Agronomy
Eleni Vrochidou, Viktoria Nikoleta Tsakalidou, Ioannis Kalathas, Theodoros Gkrimpizis, Theodore Pachidis, Vassilis G. Kaburlasos
Summary: In recent years, the agricultural sector has been utilizing robotic automation, particularly in harvesting operations, to address the increasing demand for food. This paper provides a review of the latest robotic end effectors for harvesting applications, focusing on detachment methods, types of end effectors, and additional sensors. The research shows that contact-grasping grippers for fruit holding are the most commonly used end effectors, with a majority of studies concentrating on tomato, apple, and sweet pepper harvesting.
Article
Computer Science, Information Systems
Long Huang, Zhen Meng, Zeyu Deng, Chen Wang, Liying Li, Guodong Zhao
Summary: Motion-controlled robotic arms have the potential to enhance remote education, virtual social interactions, and online participatory activities by allowing users to interact with a remote real world. This study presents a framework for a motion-controlled robotic arm system, consisting of a robotic arm end and a user end connected via a network. The system verifies the user controlling the robotic arm by examining its behavior, adding an extra security layer to the system. Experimental results show that the motion of the robotic arm inherits the behavioral biometric of its human controller.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Agronomy
Gustavo Jose Querino Vasconcelos, Gabriel Schubert Ruiz Costa, Thiago Vallin Spina, Helio Pedrini
Summary: Sustainable agriculture technologies are crucial for increasing crop productivity, reducing agrochemical usage, and improving energy efficiency. This study presents a low-cost autonomous robot for image acquisition in agricultural fields. The robot costs around $850 and a new dataset for plant and weed segmentation in bean crops was created.
Article
Acoustics
Gilles P. L. Thomas, Tatiana D. Khokhlova, Vera A. Khokhlova
Summary: An effective respiratory motion compensation method is proposed to reduce targeting error in ex vivo tissue, only slightly extending treatment time by no more than 1%. Utilizing an autoregressive motion prediction model and BH pulse gating allows for more accurate tissue disintegration treatments.
IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL
(2021)
Article
Robotics
Songlin Zhuang, Changsheng Dai, Guanqiao Shan, Changhai Ru, Zhuoran Zhang, Yu Sun
Summary: This article presents a method for precise rotational positioning of end-effectors under microscopy. The method establishes a rotational model, develops a detection method, and designs a control strategy for three-dimensional rotation. Experimental results demonstrate the effectiveness of the method in achieving accurate rotation of the end-effector, improving the success rate of micromanipulation tasks.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Automation & Control Systems
Changsheng Dai, Songlin Zhuang, Guanqiao Shan, Changhai Ru, Zhuoran Zhang, Yu Sun
Summary: This article presents an automated end-effector alignment technique for robotic micromanipulation. By adding a rotational degree of freedom and designing a sliding mode controller, the technique achieves higher success rate and lower time cost.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Automation & Control Systems
Changsheng Dai, Songlin Zhuang, Guanqiao Shan, Changhai Ru, Zhuoran Zhang, Yu Sun
Summary: This article presents automated end-effector alignment in robotic micromanipulation, achieving more accurate alignment and faster time cost compared to manual alignment. By adding rotational degrees of freedom and designing a sliding mode controller, the developed technique demonstrated a higher success rate and significantly less time cost for end-effector alignment.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Information Systems
Fahad Raza, Wei Zhu, Mitsuhiro Hayashibe
Summary: The self-balancing wheel-legged robot has higher maneuverability and mobility, attracting interest from academia and the commercial sector. This paper focuses on using active arm control to improve the balance stability and robustness of the robot, providing important insights for future applications in real-world environments with human-robot interactions.
Article
Automation & Control Systems
Haiwen Wu, Bayu Jayawardhana, Hector Garcia de Marina, Dabo Xu
Summary: This article addresses the problem of achieving and maintaining the 2-D/3-D formation shape of networked manipulator end effectors. A distributed formation controller with virtual springs and damping terms, as well as an extra integrator and adaptive estimator, is proposed to achieve the formation control objective.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Robotics
Gadiel Saper, Stanislav Tsitkov, Parag Katira, Henry Hess
Summary: This study introduces a nanorobotics system that accelerates end-to-end microtubule assembly using kinesin motors and a circular confining chamber. The mechanical interaction of kinesin-propelled microtubules gliding on a surface with the walls of the confining chamber creates a nonequilibrium distribution of microtubules, leading to an increased number of end-to-end microtubule fusion events.
Article
Robotics
Zeyuan Sun, Hong Yang, Yifan Ma, Xin Wang, Yang Mo, Hui Li, Zhihong Jiang
Summary: This research develops a dual-arm mobile robot capable of performing complex operations in narrow spaces and frequent physical interactions in rescue scenes. It features flexibility and high maneuverability. The experiments conducted verify the potential of this robot in rescue operations.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Engineering, Electrical & Electronic
Zhaoqian Wu, Shaotao Chen, Jie Han, Shaohui Zhang, Jinglun Liang, Xiaoqing Yang
Summary: This article proposes a low-cost digital twin-driven method for compensating positioning error in robotic arms. By establishing a DT model and using an attitude sensor to provide actual information, the positioning error can be reduced by adjusting the motor angle. The effectiveness of the method is verified through experimental results under different conditions.
IEEE SENSORS JOURNAL
(2022)
Article
Automation & Control Systems
Ben Lu, Chao Zhou, Jian Wang, Zhuoliang Zhang, Min Tan
Summary: In this article, an untethered robotic fish with multiple flexible joints is proposed to achieve high performance and low Cost of Transport (COT) by taking advantage of the passive bending and energy storage properties of flexible materials. A compact flexible tail with a simple and efficient structure, combining rigid links and flexible materials, is proposed. The pseudo-rigid body theory is applied to analyze the deformation of passive joints, and an optimization method by adjusting the phase differences of the passive joints is used to obtain high aquatic performance.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2023)
Article
Biochemical Research Methods
Tao Luo, Mingming Wu
Summary: In this study, researchers have developed micro-robotic swimmers with the size of animal cells using Nanoscribe technology. These micro-swimmers are powered by microstreaming flows induced by oscillating air bubbles, and can be propelled and steered entirely using one ultrasound transducer. The swimmer exhibits boundary following traits similar to biological swimmers, showing potential in targeted drug delivery and remote microsurgery technology advancements.
Article
Automation & Control Systems
XueAi Li, Kui Sun, Chuangqiang Guo, Hong Liu
Summary: This article presents a novel approach to modeling inflatable robotic arms, aiming to capture the high nonlinearity while balancing computational accuracy and efficiency. By formulating kinematic and dynamic models, designing real-time control schemes, and handling model uncertainties, the effectiveness and superior performance of the model are demonstrated through experimental results.
IEEE-ASME TRANSACTIONS ON MECHATRONICS
(2022)
Article
Computer Science, Artificial Intelligence
Venkataraman Muthiah-Nakarajan, Mathew Mithra Noel
APPLIED SOFT COMPUTING
(2016)
Article
Computer Science, Hardware & Architecture
Abhishek Roy, Mathew Mithra Noel
COMPUTERS & ELECTRICAL ENGINEERING
(2016)
Article
Automation & Control Systems
D. John Pradeep, Mathew Mithra Noel, N. Arun
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2016)
Article
Engineering, Electrical & Electronic
Nandagopal Arun, Mathew Mithra Noel
IET POWER ELECTRONICS
(2018)
Article
Automation & Control Systems
D. John Pradeep, Mathew Mithra Noel
JOURNAL OF PROCESS CONTROL
(2018)
Article
Automation & Control Systems
B. Jaganatha Pandian, Mathew Mithra Noel
JOURNAL OF PROCESS CONTROL
(2018)
Article
Computer Science, Artificial Intelligence
Mathew Mithra Noel, Venkataraman Muthiah-Nakarajan, Ruban Nersisson
APPLIED ARTIFICIAL INTELLIGENCE
(2019)
Article
Computer Science, Artificial Intelligence
Mathew Mithra Noel, Venkataraman Muthiah-Nakarajan, Geraldine Bessie Amali, Advait Sanjay Trivedi
Summary: The Firebug Swarm Optimization (FSO) algorithm, inspired by the reproductive swarming behavior of Firebugs, outperforms 17 popular state-of-the-art heuristic global optimization algorithms on benchmark tests, demonstrating its effectiveness in finding optimal solutions.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
B. Jaganatha Pandian, Mathew Mithra Noel
APPLIED SOFT COMPUTING
(2020)
Article
Engineering, Chemical
B. Jaganatha Pandian, Mathew M. Noel
CHEMICAL PRODUCT AND PROCESS MODELING
(2018)
Proceedings Paper
Automation & Control Systems
Ankit Sharma, Qing Zheng, Mathew Mithra Noel
PROCEEDINGS OF THE 36TH CHINESE CONTROL CONFERENCE (CCC 2017)
(2017)
Article
Computer Science, Artificial Intelligence
Balakrishnan Jaganatha Pandian, Seshachalam Tharun Kumar, Mathew Mithra Noel
INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL
(2017)
Article
Engineering, Multidisciplinary
Ruban Nersisson, Mathew M. Noel
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2017)
Proceedings Paper
Automation & Control Systems
Ankit Sharma, Qing Zheng, Mathew Mithra Noel
2015 AMERICAN CONTROL CONFERENCE (ACC)
(2015)
Article
Computer Science, Interdisciplinary Applications
Shenglin Wang, Jingqiong Zhang, Peng Wang, James Law, Radu Calinescu, Lyudmila Mihaylova
Summary: In Industry 5.0, Digital Twins provide flexibility and efficiency for smart manufacturing. Deep learning techniques are used to enhance the Digital Twin framework, enabling the detection and classification of human operators and robots during the manufacturing process. The framework shows promising results in accurately detecting and classifying actions of human operators and robots in various scenarios.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yi Liu, Junpeng Qiu, Jincheng Wang, Junhe Lian, Zeran Hou, Junying Min
Summary: In this study, a double-sided robotic roller forming process was developed to form ultrahigh strength steels to thin-walled profiles. Synchronized laser heating and iterative path compensation method were used to reduce forming forces and achieve high-precision forming.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zequn Zhang, Yuchen Ji, Dunbing Tang, Jie Chen, Changchun Liu
Summary: This paper proposes a digital twin system for human-robot collaboration (HRC) that overcomes the limitations of current methods and improves the overall performance. The system includes a human mesh recovery algorithm and uncertainty estimation to enhance the system's capabilities. Experimental results demonstrate the superiority of the proposed methods over baseline methods. The feasibility and effectiveness of the HRC system are validated through a case study involving component assembly.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Junmin Park, Taehoon Kim, Chengyan Gu, Yun Kang, Joono Cheong
Summary: This paper proposes a highly reliable and accurate collision estimator for robot manipulators in human-robot collaborative environments using the Bayesian approach. By assuming robot collisions as dynamic Markov processes, the estimator can integrate prior beliefs and measurements to produce current beliefs in a recursive form. The method achieves compelling performance in collision estimation with high accuracy and no false alarms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Meng Wang, Kaixuan Chen, Panfeng Wang, Yimin Song, Tao Sun
Summary: In this study, a novel teleoperation machining mode and control strategy were proposed to improve efficiency and accuracy in small batch production of large casting parts. By using variable motion mapping and elastic compensation, constant cutting force was achieved, and the workpiece was protected by employing forbidden virtual fixtures and movement constraints on the slave robot.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Zhaoyu Li, Dong He, Xiangyu Li, Xiaoke Deng, Pengcheng Hu, Jiancheng Hao, Yue Hou, Hongyu Yu, Kai Tang
Summary: This paper presents a novel algorithm for planning a five-axis inspection path for arbitrary freeform surfaces. By converting the inspection path planning problem into a set-covering problem, the algorithm generates a near-minimum set of inspection paths that satisfy necessary constraints. Both computer simulation and physical inspection experiments confirm the effectiveness and advantages of the proposed method.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hang Zhang, Wenhu Wang, Shusheng Zhang, Yajun Zhang, Jingtao Zhou, Zhen Wang, Bo Huang, Rui Huang
Summary: This paper introduces a novel framework based on deep reinforcement learning for generating machining process routes for designated parts. The framework utilizes graph representations of parts and employs convolutional graph neural networks for effective processing. Experimental results demonstrate the ability of the proposed method to generate efficient machining process routes and overcome limitations of traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Regina Kyung-Jin Lee, Hao Zheng, Yuqian Lu
Summary: Future manufacturing will witness a shift towards collaboration and compassion in human-robot relationships. To enable seamless knowledge transfer, a unified knowledge representation system that can be shared by humans and robots is essential. The Human-Robot Shared Assembly Taxonomy (HR-SAT) proposed in this study allows comprehensive assembly tasks to be represented as a knowledge graph that is understandable by both humans and robots. HR-SAT incorporates rich assembly information and has diverse applications in process planning, quality checking, and human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Jianhui He, Lefeng Gu, Guilin Yang, Yiyang Feng, Silu Chen, Zaojun Fang
Summary: This paper presents a new modular kinematic error model for collaborative robots and proposes a portable self-calibration device to improve their positioning accuracy.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hongwei Sun, Jixiang Yang, Han Ding
Summary: This paper proposes an asymmetrical FIR filter-based tool path smoothing algorithm to fully utilize the joint drive capability of robot manipulators. The algorithm considers the pose-dependent dynamics and constraints of the robot and improves motion efficiency by over 10% compared to traditional methods.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Dongsheng Ge, Huan Zhao, Yiwei Wang, Dianxi Li, Xiangfei Li, Han Ding
Summary: This paper focuses on learning a stable force control policy from human demonstration during contact transients. Based on the analysis of human demonstration data, a novel human-inspired force control strategy called compliant dynamical system (CDS) is proposed. The effectiveness of the proposed method is validated through simulation and real-world experiments.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Xuepeng Huang, Zhenzhong Wang, Lucheng Li, Qi Luo
Summary: This study models the stiffness of a robot and modifies the tool influence function (TIF) with the Preston equation in order to achieve uniform surface quality in robotic bonnet polishing (RBP) of optical components. Experimental results validate the accuracy of the modified model.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Mario D. Fiore, Felix Allmendinger, Ciro Natale
Summary: This paper presents a constraint-based programming framework for task specification and motion optimization. The framework can handle constraints on robot joint and Cartesian coordinates, as well as time dependency. It also compares with existing methods and provides numerical support through illustrative examples and case studies.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Yongxue Chen, Yaoan Lu, Ye Ding
Summary: This paper presents an optimization method for directly generating a six-degree-of-freedom toolpath for robotic flank milling. By optimizing the smoothness of the toolpath and the stiffness of the robot, the efficiency, accuracy, and finish of the machining are improved.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
Article
Computer Science, Interdisciplinary Applications
Chungang Zhuang, Haoyu Wang, Han Ding
Summary: This article proposes an end-to-end pipeline for synchronously regressing potential object poses from an unsegmented point cloud. It extracts point pair features and uses a voting architecture for instance feature extraction, along with a 3D heatmap for clustering votes and generating center seeds. An attention voting module is also employed to adaptively fuse point-wise features into instance-wise features. The network demonstrates robustness and improved performance in pose estimation.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2024)
