Automated guided vehicles with a mounted serial manipulator: A literature review

被引:5
作者
Farina, Mirko [1 ]
Shaker, Walid K. [1 ]
Ali, Ahmed M. [1 ]
Hussein, Sohaila A. [1 ]
Dalang, Felix S. [1 ]
Bassey, Jerome O. [1 ]
机构
[1] Innopolis Univ, Universitetskaya St 1, Innopolis 420500, Russia
关键词
Automated guided vehicles; Human-robot collaboration; Automation ethics; Model predictive control; MODEL-PREDICTIVE CONTROL; IMPLEMENTATION; CONTEXT; SYSTEMS; ETHICS;
D O I
10.1016/j.heliyon.2023.e15950
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Automated Guided Vehicles (AGVs) have become a vital part of the automation sector and a key component of a new industrial revolution that promises to: i. automate the entire manufacturing process, ii. increase productivity rates, iii. develop safer workplaces, while iv. maximising profits and reducing running costs for businesses. However, several concerns arise in the face of this very promising revolution. A major issue is how to ensure that AGVs function effectively and safely during interactions with humans. Another one concerns the ethical desirability of pervasive, continuous, and multidimensional couplings (or interactions) between humans and robots. Generally speaking, automated systems, in virtue of their vast sensing capabilities, may pose privacy challenges to their users. This is because such systems can seamlessly gather information about people' behaviors, without people's consent or awareness. To tackle the important issues abovementioned, we performed a systematic literature review [SLR] on AGVs with mounted serial manipulators. We used as an input 282 papers published in the relevant scientific literature. We analysed these papers and selected 50 papers based on certain criteria to find out trends, algorithms, performance metrics used, as well as potential ethical concerns raised by the deployment of AGVs in the industry. Our findings suggest that corporations can effectively rely on AGVs with mounted manipulators as an efficient and safe solution to production challenges.
引用
收藏
页数:27
相关论文
共 99 条
[1]  
Akl E., 2019, COCHRANE HDB SYSTEMA, V10
[2]  
[Anonymous], 2016, BBS8611
[3]   AI in Healthcare: Ethical and Privacy Challenges [J].
Bartoletti, Ivana .
ARTIFICIAL INTELLIGENCE IN MEDICINE, AIME 2019, 2019, 11526 :7-10
[4]   Model Predictive Control for Vehicle Stabilization at the Limits of Handling [J].
Beal, Craig Earl ;
Gerdes, J. Christian .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2013, 21 (04) :1258-1269
[5]   Evaluation of automatic guided vehicle systems [J].
Berman, Sigal ;
Schechtman, Edna ;
Edan, Yael .
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2009, 25 (03) :522-528
[6]  
Bikeev Igor., 2019, Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing, P1, DOI DOI 10.1145/3371425.3371476
[7]  
Bloom C, 2017, PROCEEDINGS OF THIRTEENTH SYMPOSIUM ON USABLE PRIVACY AND SECURITY (SOUPS 2017), P357
[8]   Prioritizing tasks in software development: A systematic literature review [J].
Bugayenko, Yegor ;
Bakare, Ayomide ;
Cheverda, Arina ;
Farina, Mirko ;
Kruglov, Artem ;
Plaksin, Yaroslav ;
Pedrycz, Witold ;
Succi, Giancarlo .
PLOS ONE, 2023, 18 (04)
[9]  
Casey AJ, 2016, U TORONTO LAW J, V66, P429, DOI 10.3138/UTLJ.4006
[10]  
Chatila R, 2019, INTEL SYST CONTR AUT, V95, P11, DOI 10.1007/978-3-030-12524-0_2