Review
Robotics
Fengyuan Liu, Sweety Deswal, Adamos Christou, Yulia Sandamirskaya, Mohsen Kaboli, Ravinder Dahiya
Summary: Touch is a complex sensing modality that enables us to feel and perceive the world through the large number of receptors in our skin. The touch-sensing capability of current robots is far behind humans, therefore there is a need for neural-like hardware for electronic skin (e-skin). This paper discusses the hardware implementations of various computational building blocks for e-skin and how they can potentially achieve human skin-like or peripheral nervous system-like functionalities.
Review
Automation & Control Systems
Prajval Kumar Murali, Mohsen Kaboli, Ravinder Dahiya
Summary: The rapid advancement in autonomous vehicles has sparked interest in intelligent interiors to improve user experience. Technologies such as wearable systems and flexible electronics are being integrated to understand user intentions and adapt interactions accordingly. Challenges and potential solutions for achieving truly interactive AVs are discussed in a comprehensive review of current technologies.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Yi Zhang, Haihua Zhu, Dunbing Tang, Tong Zhou, Yong Gui
Summary: This paper proposes a multi-agent manufacturing system based on deep reinforcement learning to address the production planning and control problems caused by personalized orders. The system, with the cooperation and competition among multiple equipment agents and the decision-making module of AI scheduler, efficiently performs task allocation and continuously improves decision-making performance through training and updating.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Robotics
Xuefeng Ma, Yingxiang Liu, Junkao Liu, Deng Jie
Summary: The Crabbot, a piezoelectric pole-climbing robot, overcomes the shortcomings of traditional robots by being small in size, having a high load-to-weight ratio, and offering high resolution. It can climb poles with different cross-sections and amplify stepping displacements through its designed mechanisms. Experimental results demonstrate its potential for stable step motion on poles of various shapes and sizes in industrial applications.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Robotics
Petar Radanliev, David De Roure, Razvan Nicolescu, Michael Huth, Omar Santos
Summary: This paper investigates the evolution of artificial intelligence in internet of things networks through exploring the use of new technologies in industrial systems and the correlation between academic literature and Industry 4.0 interdependencies. The novelty lies in introducing the concept of digital twin and applying grounded theory analysis to complex interconnected systems. By connecting human-computer interactions, the paper offers a summary of mechanisms for the evolution of artificial intelligence in IoT networks.
INTERNATIONAL JOURNAL OF INTELLIGENT ROBOTICS AND APPLICATIONS
(2022)
Article
Computer Science, Artificial Intelligence
Jiahao Chen, Hong Qiao
Summary: This article proposes a control method for musculoskeletal robots based on a motor-cortex-like recurrent neural network (RNN) and a reward-modulated multitask learning method. The method achieves multitask learning ability, great generalization, and robustness for noises. Experimental results demonstrate better performance and biological plausibility.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Xieyuanli Chen, Thomas Laebe, Andres Milioto, Timo Rohling, Jens Behley, Cyrill Stachniss
Summary: The paper introduces a modified Siamese network for estimating the similarity between pairs of LiDAR scans, which can be used for loop closing in SLAM and global localization in autonomous systems. The approach utilizes a deep neural network to exploit cues generated from LiDAR data, demonstrating superior performance and generalization in different environments. The method effectively detects loop closures and reliably localizes vehicles globally in urban environments using LiDAR data collected in various seasons.
Review
Computer Science, Interdisciplinary Applications
Wenbo Wang, Qiang Guo, Zhibo Yang, Yan Jiang, Jinting Xu
Summary: This paper presents a comprehensive review on the robotic milling of complex components, discussing the history, current state, and future research topics in the field.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2023)
Article
Engineering, Multidisciplinary
Sushmita Sharma, Sanjoy Chakraborty, Apu Kumar Saha, Sukanta Nama, Saroj Kumar Sahoo
Summary: This paper proposes a new variant of the Butterfly Optimization Algorithm (BOA), called mLBOA, to improve its performance. The proposed algorithm incorporates a self-adaptive parameter setting, Lagrange interpolation formula, and a new local search strategy embedded with Levy flight search to enhance its searching ability. The fragrance generation scheme of BOA is also modified for better exploration. Evaluation of the algorithm is conducted using the IEEE CEC 2017 benchmark suite and compared with six state-of-the-art algorithms and five BOA variants. The results show that the proposed mLBOA algorithm is competitive and performs well compared to other popular algorithms.
JOURNAL OF BIONIC ENGINEERING
(2022)
Article
Robotics
Saurabh Jadhav, Mohamad Ramzi Abdul Majit, Benjamin Shih, Jurgen P. Schulze, Michael T. Tolley
Summary: The article presents a design approach based on the principle of fiber jamming to create slender, high flexural stiffness modules. The proposed fiber jamming modules offer higher flexural stiffness compared to particle jamming modules, allowing for stiffness control while bending in space.
Article
Automation & Control Systems
Prakash Karipoth, Adamos Christou, Abhilash Pullanchiyodan, Ravinder Dahiya
Summary: This research presents bioinspired soft structures with intrinsic strain sensing capabilities, demonstrating record stretchability and sensitivity, as well as successful controlled movements of magnetically-driven soft robots. The results potentially advance the prospects of self-sensing in soft robots and move the field towards cognitive soft robotics.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Meng-Lun Lee, Sara Behdad, Xiao Liang, Minghui Zheng
Summary: This paper presents a disassembly sequence planning algorithm in the human-robot collaboration setting, taking into account resource and safety constraints. The algorithm aims to minimize the total disassembly time by planning and distributing tasks among the human operator, the robot, and the collaboration. Experimental studies have been conducted to validate the proposed algorithm for the disassembly of a used hard disk drive.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Robotics
Ciaran T. O'Neill, Connor M. McCann, Cameron J. Hohimer, Katia Bertoldi, Conor J. Walsh
Summary: Textile-based pneumatic actuators have been developed for wearable applications due to their high strength to weight ratio, with investigations into the actuation mechanics of these actuators revealing distinct performance regimes such as Shearing, Creasing, and Flattening. The study aims to understand how geometric parameters of the actuators affect the generated moment, with results showing that the actuators can generate useful on-body moments in wearable applications.
Article
Robotics
Cathy Wu, Abdul Rahman Kreidieh, Kanaad Parvate, Eugene Vinitsky, Alexandre M. Bayen
Summary: This article explores the potential of deep reinforcement learning in low AV adoption scenarios, finding that learned control laws can significantly improve driving performance in terms of system-level velocity, especially in cases of traffic congestion.
IEEE TRANSACTIONS ON ROBOTICS
(2022)
Article
Robotics
Rahul Jain, Vijay Bhaskar Semwal, Praveen Kaushik
Summary: This study introduces an automatic technique for stride segmentation using the autocorrelation function (ACF) to identify stride boundaries and a tuning parameter (t(p)) for extracting stride-specific data. Rigorous experimentation was conducted on human activities and postural transition datasets, yielding results comparable to standard findings reported in the literature.
Review
Automation & Control Systems
Jue Wang, Alex Chortos
Summary: This article summarizes the actuator mechanisms and control strategies of soft robots and discusses their implementation. Control strategies are evaluated from various perspectives and future directions are forecasted.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Robotics
Giovanni Pittiglio, Peter Lloyd, Tomas da Veiga, Onaizah Onaizah, Cecilia Pompili, James H. Chandler, Pietro Valdastri
Summary: This study presents the design and manufacture of a flexible magnetic catheter capable of navigating the human anatomy in a follow-the-leader fashion. By optimizing magnetization profiles and using a dual-robot arm system to generate transient magnetic fields, minimal contact navigation through a three-dimensional bronchial tree phantom was achieved. Compared to mechanically equivalent designs, the magnetic catheter demonstrated improved tracking accuracy, reduced obstacle contact time, and decreased targeting errors.
Article
Computer Science, Artificial Intelligence
Muhammad Tariq Sadiq, Xiaojun Yu, Zhaohui Yuan, Muhammad Zulkifal Aziz, Siuly Siuly, Weiping Ding
Summary: This study introduces a novel matrix determinant feature extraction approach for efficient classification of motor and mental imagery activities from EEG signals. Experimental results demonstrate that the proposed method achieves high accuracy with low computational complexity, making it promising for the development of automated brain-computer interfaces.
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS
(2022)
Review
Automation & Control Systems
Jialin Jiang, Zhengxin Yang, Antoine Ferreira, Li Zhang
Summary: Microrobots have great potential in biomedical applications, such as minimally invasive surgery and drug delivery. However, due to their small size, there are challenges in integrating microprocessors, power supplies, and sensors. New strategies for actuation and feedback as well as automation through control theories and machine learning algorithms are being developed to improve their efficiency and precision.
ADVANCED INTELLIGENT SYSTEMS
(2022)
Article
Automation & Control Systems
Nasser Gyagenda, Hubert Roth, Vadim Zhmud, Jasper V. Hatilima
Summary: This paper presents an account of GNSS-independent navigation solutions for UAVs and evaluates the components of navigation including perception, localization, and motion planning. The review results show that only 16% of the research proposed full navigation solutions, while the rest focused on individual components. In addition to the navigation solutions, this paper also contributes with an adapted UAV classification scheme, technology maturity assessment, and analysis of integrity monitoring frameworks.
ROBOTICS AND AUTONOMOUS SYSTEMS
(2022)
