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Internet of robotic things for mobile robots:Concepts,technologies,challenges,applications,and future directions 被引量:1
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作者 Homayun Kabir Mau-Luen Tham Yoong Choon Chang 《Digital Communications and Networks》 SCIE CSCD 2023年第6期1265-1290,共26页
Nowadays,Multi Robotic System(MRS)consisting of different robot shapes,sizes and capabilities has received significant attention from researchers and are being deployed in a variety of real-world applications.From sen... Nowadays,Multi Robotic System(MRS)consisting of different robot shapes,sizes and capabilities has received significant attention from researchers and are being deployed in a variety of real-world applications.From sensors and actuators improved by communication technologies to powerful computing systems utilizing advanced Artificial Intelligence(AI)algorithms have rapidly driven the development of MRS,so the Internet of Things(IoT)in MRS has become a new topic,namely the Internet of Robotic Things(IoRT).This paper summarizes a comprehensive survey of state-of-the-art technologies for mobile robots,including general architecture,benefits,challenges,practical applications,and future research directions.In addition,remarkable research of i)multirobot navigation,ii)network architecture,routing protocols and communications,and iii)coordination among robots as well as data analysis via external computing(cloud,fog,edge,edge-cloud)are merged with the IoRT architecture according to their applicability.Moreover,security is a long-term challenge for IoRT because of various attack vectors,security flaws,and vulnerabilities.Security threats,attacks,and existing solutions based on IoRT architectures are also under scrutiny.Moreover,the identification of environmental situations that are crucial for all types of IoRT applications,such as the detection of objects,human,and obstacles,is also critically reviewed.Finally,future research directions are given by analyzing the challenges of IoRT in mobile robots. 展开更多
关键词 multi Robotic System(MRS) Internet of Things(IoT) Internet of Robotic Things(IoRT) Cloud computing Artificial intelligence(AI) Machine learning(ML) Reinforcement learning(RL)
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Adaptive genetic algorithm for path planning of loosely coordinated multi-robot manipulators 被引量:1
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作者 高胜 赵杰 蔡鹤皋 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2003年第1期72-76,共5页
Adaptive genetic algorithm A SA GA, a novel algorithm, which can dynamically modify the parameters of Genetic Algorithms in terms of simulated annealing mechanism, is proposed for path planning of loosely coordinated ... Adaptive genetic algorithm A SA GA, a novel algorithm, which can dynamically modify the parameters of Genetic Algorithms in terms of simulated annealing mechanism, is proposed for path planning of loosely coordinated multi robot manipulators. Over the task space of a multi robot, a strategy of decoupled planning is also applied to the evolutionary process, which enables a multi robot to avoid falling into deadlock and calculating of composite C space. Finally, two representative tests are given to validate A SA GA and the strategy of decoupled planning. 展开更多
关键词 multi robot path planning adaptive genetic algorithm simulated annealing decoupled planning
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