Article
Robotics
Andrea Macario Barros, Maugan Michel, Yoann Moline, Gwenole Corre, Frederick Carrel
Summary: This study provides a review of the main algorithms and methods of visual-based SLAM techniques, and compares their advantages and disadvantages. It also proposes six criteria to facilitate the analysis of SLAM algorithms and discusses future directions. The aim of this study is to provide beginners with a clear understanding of technology selection and application in SLAM projects.
Review
Engineering, Industrial
Anil Kumar Inkulu, M. V. A. Raju Bahubalendruni, Ashok Dara, SankaranarayanaSamy K.
Summary: The paper discusses the application of human-robot collaboration in manufacturing automation in the Industry 4.0 era, analyzing various HRC techniques and key challenges, and classifying and discussing different modes of collaboration.
INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
(2022)
Article
Computer Science, Interdisciplinary Applications
Sung Ho Choi, Kyeong-Beom Park, Dong Hyeon Roh, Jae Yeol Lee, Mustafa Mohammed, Yalda Ghasemi, Heejin Jeong
Summary: This study introduces a novel integrated mixed reality system using deep learning and digital twin generation to accurately measure minimum safe distance and provide task assistance for human operators. By tracking the shared workplace and providing user-centric visualization through smart MR glasses, the system ensures safe and effective human-robot collaboration.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Robotics
H. Saeidi, J. D. Opfermann, M. Kam, S. Wei, S. Leonard, M. H. Hsieh, J. U. Kang, A. Krieger
Summary: Autonomous robotic surgery has the potential to improve surgical consistency, patient outcomes, and access to standard surgical techniques. This study describes an enhanced autonomous strategy for laparoscopic soft tissue surgery and demonstrates its efficacy in phantom and in vivo models.
Review
Computer Science, Artificial Intelligence
Moad Idrissi, Mohammad Salami, Fawaz Annaz
Summary: This study aims to provide a clear categorization overview of the significant progress in unmanned aerial vehicles (UAVs) over the past decade. It covers aspects such as mechanical structures, technical elements, and control strategies. The study finds that the dynamic system often faces limitations due to internal and/or external disturbances, which can be minimized through the introduction of appropriate control techniques or mechanical enhancements.
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Li Huang, Cheng Chen, Juntong Yun, Ying Sun, Jinrong Tian, Zhiqiang Hao, Hui Yu, Hongjie Ma
Summary: This paper proposes a method for indoor small target detection based on multi-scale feature fusion, which improves the detection accuracy, especially for small-scale objects.
FRONTIERS IN NEUROROBOTICS
(2022)
Article
Robotics
Michele Xiloyannis, Ryan Alicea, Anna-Maria Georgarakis, Florian Leander Haufe, Peter Wolf, Lorenzo Masia, Robert Riener
Summary: Wearable robots have evolved from rigid machines to lightweight robotic apparel, playing a crucial role in human motor assistance and augmentation. Critically evaluating the modes of actuation, human-robot interface, and intention-detection strategies of state-of-the-art soft robotic suits, this technology has the potential to significantly impact human movements and requires further development in various areas.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Computer Science, Artificial Intelligence
Yan Liu, Jiawei Tian, Rongrong Hu, Bo Yang, Shan Liu, Lirong Yin, Wenfeng Zheng
Summary: In this paper, an improved feature-point pair purification algorithm based on SIFT and RANSAC is proposed to address the issue of limited imaging range in endoscopy. Experimental results validate the effectiveness of the proposed algorithm.
FRONTIERS IN NEUROROBOTICS
(2022)
Article
Robotics
Zheng Zhang, Xiangqi Ni, Helong Wu, Min Sun, Guanjun Bao, Huaping Wu, Shaofei Jiang
Summary: This study presents the design and testing of a novel self-adaptive soft gripper that integrates pneumatic actuators and bistable carbon-fiber reinforced polymer laminates. The gripper shows good compliance and adaptability for gripping deformable objects of various sizes, shapes, and weights. The results demonstrate the superior performance of the gripper in terms of shape retention, object grasping, and response times.
Article
Robotics
Chao Tang, Boyuan Du, Songwen Jiang, Qi Shao, Xuguang Dong, Xin-Jun Liu, Huichan Zhao
Summary: We proposed a smart material-driven pipeline inspection robot that could fit into sub-centimeter-sized pipes with different curvatures. The robot utilized high-power density elastomer actuators as artificial muscles and efficient anchoring units for transmission. By analyzing the dynamic characteristics and considering soft material properties, the robot achieved rapid motions in varying pipeline geometries. The robot successfully completed inspection tasks in different pipe materials and filled media.
Article
Robotics
Jiazhao Zhang, Yijie Tang, He Wang, Kai Xu
Summary: This paper focuses on the problem of high-dimensional nonlinear state estimation in inertial-aided navigation systems. The authors propose a method based on random optimization and active subspace to tackle the challenges posed by large interframe transformations. The method efficiently explores the state space and achieves accurate and robust depth inertial odometry.
IEEE TRANSACTIONS ON ROBOTICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Chao Lu, Yuanxiang Huang, Leilei Meng, Liang Gao, Biao Zhang, Jiajun Zhou
Summary: Energy-efficient scheduling of distributed production systems is essential for large companies in the context of economic globalization and green manufacturing. This paper presents a collaborative multi-objective optimization algorithm (CMOA) to address the Distributed Permutation Flow-Shop Problem with Limited Buffers (DPFSP-LB), aiming to minimize makespan and total energy consumption. The experimental results demonstrate the effectiveness of CMOA in solving the energy-efficient DPFSP-LB, achieving competitive results compared to other well-known multi-objective optimization algorithms.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Robotics
Zhijun Li, Xiang Li, Qinjian Li, Hang Su, Zhen Kan, Wei He
Summary: This article proposes a novel hierarchical human-in-the-loop paradigm to provide suitable assistance powers for cable-driven lower limb exosuits, improving human walking performance over different terrains.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Robotics
A. Heiden, D. Preninger, L. Lehner, M. Baumgartner, M. Drack, E. Woritzka, D. Schiller, R. Gerstmayr, F. Hartmann, M. Kaltenbrunner
Summary: Soft robotics is inspired by nature, but the materials and manufacturing methods used often have a negative impact on the environment. To address this issue, researchers have developed a customized 3D printing process that uses biodegradable gelatin-based hydrogel ink to fabricate soft robots quickly and economically. These devices have high adaptability and real-time control capabilities, and can be sustainably recycled.
Article
Automation & Control Systems
Abhishek Venketeswaran, Nageswara Lalam, Jeffrey Wuenschell, P. R. Ohodnicki, Mudabbir Badar, Kevin P. Chen, Ping Lu, Yuhua Duan, Benjamin Chorpening, Michael Buric
Summary: Fiber optic sensors (FOS) have gained significant attention in various industries for monitoring applications, with the potential to become the backbone of intelligent sensing platforms. However, challenges including cross-sensitivity, large data volume, and slow data processing speed need to be addressed. Recent advances in machine learning (ML) and artificial intelligence (AI) offer solutions to overcome these challenges.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Robotics
Lidong Yang, Jiangfan Yu, Shihao Yang, Ben Wang, Bradley J. Nelson, Li Zhang
Summary: Microrobots, with their small size and wireless actuation, show potential for minimally invasive medicine. Researchers have focused on addressing key challenges such as swarm control to advance microrobots for future clinical applications. This article summarizes the current state of the art in swarm microrobotics, covering actuation systems, swarm behaviors, control strategies, and biomedical applications.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Computer Science, Interdisciplinary Applications
Rong Zhang, Qibing Lv, Jie Li, Jinsong Bao, Tianyuan Liu, Shimin Liu
Summary: The assembly process of high precision products requires human-robot collaboration to optimize efficiency, but the unpredictability of human behavior poses a challenge. A human-robot collaborative reinforcement learning algorithm has been proposed and validated through experimental analysis to optimize task allocation in assembly processes.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Robotics
Varun Sridhar, Filip Podjaski, Yunus Alapan, Julia Kroeger, Lars Grunenberg, Vimal Kishore, Bettina Lotsch, Metin Sitti
Summary: In this study, we propose two-dimensional poly(heptazine imide) (PHI) carbon nitride microparticles as light-driven microswimmers. These microswimmers demonstrate high-speed movement in high ionic concentrations and biological media and exhibit controlled drug release capabilities.
Article
Computer Science, Artificial Intelligence
Wei Liu, Jie-Lin Qiu, Wei-Long Zheng, Bao-Liang Lu
Summary: This article compares the recognition performance and robustness of two multimodal emotion recognition models (DCCA and BDAE) and proposes two methods to extend the DCCA model for multimodal fusion. Experimental results demonstrate that DCCA achieves state-of-the-art recognition results on multiple data sets and has greater robustness when adding noises.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Chen Zheng, Yushu An, Zhanxi Wang, Haoyu Wu, Xiansheng Qin, Benoit Eynard, Yicha Zhang
Summary: Offline programming is an intuitive and automatic programming generation technique that greatly reduces downtime and labor costs. Current methods, such as CAD-based and vision-based approaches, have limitations in supporting the automatic generation of welding programs for complex workpieces in industries like shipbuilding. A proposed hybrid offline programming method systematically combines CAD, vision, and interactive activities to improve the efficiency, accuracy, and flexibility of robotic welding systems.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
