{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,7]],"date-time":"2026-05-07T13:15:04Z","timestamp":1778159704906,"version":"3.51.4"},"reference-count":38,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2018,9,10]],"date-time":"2018-09-10T00:00:00Z","timestamp":1536537600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Intel Serv Robotics"],"published-print":{"date-parts":[[2019,1]]},"DOI":"10.1007\/s11370-018-0260-2","type":"journal-article","created":{"date-parts":[[2018,9,10]],"date-time":"2018-09-10T03:50:03Z","timestamp":1536551403000},"page":"55-67","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Neural network-based approaches for mobile robot navigation in static and moving obstacles environments"],"prefix":"10.1007","volume":"12","author":[{"given":"Ngangbam Herojit","family":"Singh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Khelchandra","family":"Thongam","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,9,10]]},"reference":[{"key":"260_CR1","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1016\/j.chb.2015.03.062","volume":"50","author":"M Algabri","year":"2015","unstructured":"Algabri M, Mathkour H, Ramdane H, Alsulaiman M (2015) Comparative study of soft computing techniques for mobile robot navigation in an unknown environment. Comput Hum Behav 50:42\u201356","journal-title":"Comput Hum Behav"},{"key":"260_CR2","unstructured":"An MZ, Zeng GH, Si YF, Min T (2006) Neural networks for mobile robot navigation: a survey. In: Proceedings of the third international conference on advances in neural networks 2:1218\u20131226"},{"key":"260_CR3","first-page":"3165","volume":"04","author":"AG Andurkar","year":"2017","unstructured":"Andurkar AG, Rupali T (2017) Fuzzy logic based path navigation for robot using Matlab. Int Res J Eng Technol 04:3165\u20133170","journal-title":"Int Res J Eng Technol"},{"key":"260_CR4","unstructured":"Anmin Z, Zengguang H, Lejie Z, Min T (2005) A neural network-based camera calibration method for mobile robot localization problems. In: Proceedings of the second international conference on advances in neural networks 3:277\u2013284"},{"key":"260_CR5","first-page":"1","volume":"17","author":"KR Asita","year":"2018","unstructured":"Asita KR, Dayal RP, Harish CD, Manoj KM, Priyadarshi BK (2018) Analysis and use of fuzzy intelligent technique for navigation of humanoid robot in obstacle prone zone. Def Technol 17:1\u20136","journal-title":"Def Technol"},{"key":"260_CR6","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1016\/j.robot.2016.12.008","volume":"89","author":"B Azzeddine","year":"2017","unstructured":"Azzeddine B, Abdelfetah H, Hakim B, Abderraouf M, Ouarda H, Brahim B (2017) Optimal path planning and execution for mobile robots using genetic algorithm and adaptive fuzzy-logic control. Robot Auton Syst 89:95\u2013109","journal-title":"Robot Auton Syst"},{"key":"260_CR7","doi-asserted-by":"publisher","first-page":"74","DOI":"10.1016\/j.procs.2015.12.279","volume":"76","author":"G Capi","year":"2015","unstructured":"Capi G, Kaneko S, Hua B (2015) Neural network based guide robot navigation: an evolutionary approach. Proc Comput Sci 76:74\u201379","journal-title":"Proc Comput Sci"},{"issue":"1","key":"260_CR8","first-page":"15","volume":"1","author":"J Danica","year":"2004","unstructured":"Danica J (2004) Neural networks in mobile robot motion. Int J Adv Robot Syst 1(1):15\u201322","journal-title":"Int J Adv Robot Syst"},{"key":"260_CR9","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.neucom.2016.08.108","volume":"233","author":"LC David","year":"2017","unstructured":"David LC, Wen Y (2017) Path planning of multi-agent systems in unknown environment with neural kernel smoothing and reinforcement learning. Neurocomputing 233:34\u201342","journal-title":"Neurocomputing"},{"issue":"37","key":"260_CR10","first-page":"1","volume":"10","author":"M Faisal","year":"2013","unstructured":"Faisal M, Hedjar R, Al-Sulaiman M, Al-Mutib K (2013) Fuzzy logic navigation and obstacle avoidance by a mobile robot in an unknown dynamic environment. Int J Adv Robot Syst 10(37):1\u20137","journal-title":"Int J Adv Robot Syst"},{"key":"260_CR11","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1016\/j.eswa.2018.01.050","volume":"100","author":"B Farhad","year":"2018","unstructured":"Farhad B, Sepideh NN, Morteza A (2018) Mobile robots path planning: electrostatic potential field approach. Expert Syst Appl 100:68\u201378","journal-title":"Expert Syst Appl"},{"key":"260_CR12","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.asoc.2006.10.009","volume":"8","author":"CL Guan","year":"2008","unstructured":"Guan CL, Wei WL (2008) An immunological approach to mobile robot reactive navigation. Appl Soft Comput 8:30\u201345","journal-title":"Appl Soft Comput"},{"key":"260_CR13","doi-asserted-by":"crossref","unstructured":"Hajer O, Mohamed S, Mohamed M (2016) Fuzzy logic based control for autonomous mobile robot navigation. Comput Intell Neurosci, Volume 2016, Article ID 9548482, 10 pages","DOI":"10.1155\/2016\/9548482"},{"key":"260_CR14","first-page":"11433","volume":"50","author":"M Julien","year":"2017","unstructured":"Julien M, Pierre M, Stephane V, Francois A, Franck G (2017) Path planning with fractional potential fields for autonomous vehicles. IFAC Pap 50:11433\u201311438","journal-title":"IFAC Pap"},{"key":"260_CR15","doi-asserted-by":"publisher","first-page":"773","DOI":"10.1016\/j.compeleceng.2016.09.007","volume":"56","author":"A Karray","year":"2016","unstructured":"Karray A, Njah M, Feki M, Jallouli M (2016) Intelligent mobile manipulator navigation using hybrid adaptive-fuzzy controller. Comput Electr Eng 56:773\u2013783","journal-title":"Comput Electr Eng"},{"key":"260_CR16","doi-asserted-by":"publisher","first-page":"300","DOI":"10.1016\/j.jart.2016.06.006","volume":"14","author":"F Mahdi","year":"2016","unstructured":"Mahdi F, Amirreza K, Mohsen J (2016) Humanoid robot path planning with fuzzy Markov decision processes. J Appl Res Technol 14:300\u2013310","journal-title":"J Appl Res Technol"},{"issue":"2","key":"260_CR17","first-page":"64","volume":"2","author":"S Mariam Al","year":"2016","unstructured":"Mariam Al S, Rached D (2016) Neural based autonomous navigation of wheeled mobile robots. J Autom Mobile Robot Intell Syst 2(2):64\u201372","journal-title":"J Autom Mobile Robot Intell Syst"},{"key":"260_CR18","doi-asserted-by":"publisher","first-page":"11473","DOI":"10.1016\/j.ifacol.2017.08.1822","volume":"50","author":"F Matoui","year":"2017","unstructured":"Matoui F, Boussaid B, Metoui B, Frej GB, Abdelkrim MN (2017) Path planning of a group of robots with potential field approach: decentralized architecture. IFAC Pap 50:11473\u201311478","journal-title":"IFAC Pap"},{"key":"260_CR19","doi-asserted-by":"publisher","first-page":"27","DOI":"10.1016\/j.conengprac.2017.04.006","volume":"64","author":"B Mauricio","year":"2017","unstructured":"Mauricio B, Douglas WB, Nardnio AM (2017) A robust adaptive fuzzy variable structure tracking control for the wheeled mobile robot: simulation and experimental results. Control Eng Pract 64:27\u201343","journal-title":"Control Eng Pract"},{"key":"260_CR20","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.procir.2017.03.095","volume":"63","author":"R Meyesa","year":"2017","unstructured":"Meyesa R, Tercana H, Roggendorf S, Thiele T, Buscher C, Obdenbusch M, Brecher C, Jeschke S, Meisen T (2017) Motion planning for industrial robots using reinforcement learning. Proc CIRP 63:107\u2013112","journal-title":"Proc CIRP"},{"key":"260_CR21","unstructured":"Ming-Chih L, Chen-Chien H, Yuan-Jun C, Shih-An L (2012) Hybrid path planning incorporating global and local search for mobile robot. In: Advances in autonomous robotics, Lecture notes in computer science 7429:441\u2013443"},{"key":"260_CR22","doi-asserted-by":"publisher","first-page":"901","DOI":"10.1016\/j.asoc.2016.08.057","volume":"49","author":"SM Mohamed","year":"2016","unstructured":"Mohamed SM, Najla K, Mohamed M, Nabil D (2016) Fuzzy logic controllers design for omnidirectional mobile robot navigation. Appl Soft Comput 49:901\u2013919","journal-title":"Appl Soft Comput"},{"key":"260_CR23","doi-asserted-by":"publisher","first-page":"30","DOI":"10.1016\/j.robot.2017.03.001","volume":"92","author":"B Mohamed","year":"2017","unstructured":"Mohamed B, Abdelkrim B, Mohammed C (2017) Robust adaptive neural network-based trajectory tracking control approach for nonholonomic electrically driven mobile robots. Robot Auton Syst 92:30\u201340","journal-title":"Robot Auton Syst"},{"issue":"5","key":"260_CR24","doi-asserted-by":"publisher","first-page":"2527","DOI":"10.12785\/amis\/080551","volume":"8","author":"PK Mohanty","year":"2014","unstructured":"Mohanty PK, Parhi DR (2014) A new intelligent motion planning for mobile robot navigation using multiple adaptive neuro-fuzzy inference system. Appl Math Inf Sci 8(5):2527\u20132535","journal-title":"Appl Math Inf Sci"},{"key":"260_CR25","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1080\/00207720903470155","volume":"42","author":"KS Mukesh","year":"2011","unstructured":"Mukesh KS, Dayal RP (2011) Path optimisation of a mobile robot using an artificial neural network controller. Int J Syst Sci 42:107\u2013120","journal-title":"Int J Syst Sci"},{"key":"260_CR26","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/j.procs.2017.12.004","volume":"125","author":"HS Ngangbam","year":"2018","unstructured":"Ngangbam HS, Khelchandra T (2018) Mobile robot navigation using fuzzy logic in static environments. Proc Comput Sci 125:11\u201317","journal-title":"Proc Comput Sci"},{"key":"260_CR27","first-page":"15691581","volume":"24","author":"M Omid","year":"2013","unstructured":"Omid M, Danial N, Sai HT, Babak K, Weria K (2013) Automatic navigation of mobile robots in unknown environments. Neural Comput Appl 24:15691581","journal-title":"Neural Comput Appl"},{"key":"260_CR28","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1016\/j.dt.2017.01.001","volume":"13","author":"A Pandey","year":"2017","unstructured":"Pandey A, Parhi DR (2017) Optimum path planning of mobile robot in unknown static and dynamic environments using fuzzy-wind driven optimization algorithm. Def Technol 13:47\u201358","journal-title":"Def Technol"},{"key":"260_CR29","doi-asserted-by":"publisher","first-page":"421","DOI":"10.1016\/j.pisc.2016.04.094","volume":"8","author":"A Pandey","year":"2016","unstructured":"Pandey A, Saroj K, Pandey KK, Parhi DR (2016) Mobile robot navigation in unknown static environments using ANFIS controller. Perspect Sci 8:421\u2013423","journal-title":"Perspect Sci"},{"key":"260_CR30","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1108\/WJE-04-2016-024","volume":"13","author":"BK Patle","year":"2016","unstructured":"Patle BK, Parhi DR, Jagadeesh A, Sunil KK (2016) Probabilistic fuzzy controller based robotics path decision theory. World J Eng 13:181\u2013192","journal-title":"World J Eng"},{"key":"260_CR31","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.robot.2015.04.007","volume":"72","author":"J Pothal","year":"2015","unstructured":"Pothal J, Parhi DR (2015) Navigation of multiple mobile robots in a highly clutter terrains using adaptive neuro-fuzzy inference system. Robot Auton Syst 72:48\u201358","journal-title":"Robot Auton Syst"},{"key":"260_CR32","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/S0888-613X(98)10026-9","volume":"20","author":"DK Pratihar","year":"1999","unstructured":"Pratihar DK, Kalyanmoy D, Amitabha G (1999) A genetic-fuzzy approach for mobile robot navigation among moving obstacles. Int J Approx Reason 20:145\u2013172","journal-title":"Int J Approx Reason"},{"key":"260_CR33","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1016\/j.procs.2017.11.286","volume":"120","author":"HA Rahib","year":"2017","unstructured":"Rahib HA, Irfan SG, Nurullah A, Ersin A, Ahmet C, Sanan A (2017) Fuzzy control of omnidirectional robot. Proc Comput Sci 120:608\u2013616","journal-title":"Proc Comput Sci"},{"key":"260_CR34","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/S0893-6080(99)00103-3","volume":"13","author":"XY Simon","year":"2000","unstructured":"Simon XY, Max M (2000) An efficient neural network approach to dynamic robot motion planning. Neural Netw 13:143\u2013148","journal-title":"Neural Netw"},{"key":"260_CR35","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.robot.2016.08.001","volume":"86","author":"TM Thi","year":"2016","unstructured":"Thi TM, Cosmin C, Duc TT, Robin DK (2016) Heuristic approaches in robot path planning: a survey. Robot Auton Syst 86:13\u201328","journal-title":"Robot Auton Syst"},{"key":"260_CR36","doi-asserted-by":"crossref","unstructured":"Yaghmaie F Adib, Mobarhani A, Taghirad HD (2013) A new method for mobile robot navigation in dynamic environment: escaping algorithm. In: First RSI\/ISM international conference on robotics and mechatronics (ICRoM), February 13\u201315, Tehran, Iran","DOI":"10.1109\/ICRoM.2013.6510107"},{"issue":"6","key":"260_CR37","first-page":"4095","volume":"8","author":"Z Yan","year":"2012","unstructured":"Yan Z, Yuliang S, Wei W (2012) Mobile robot hybrid path planning in an obstacle-cluttered environment based on steering control and improved distance propagating. Int J Innov Comput Inf Control 8(6):4095\u20134109","journal-title":"Int J Innov Comput Inf Control"},{"key":"260_CR38","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/j.ijleo.2017.12.169","volume":"158","author":"Z Zhiyu","year":"2018","unstructured":"Zhiyu Z, Junjie W, Zefei Z, Donghe Y, Jiang W (2018) Tangent navigated robot path planning strategy using particle swarm optimized artificial potential field. Optik 158:639\u2013651","journal-title":"Optik"}],"container-title":["Intelligent Service Robotics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11370-018-0260-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-018-0260-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11370-018-0260-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,9]],"date-time":"2019-09-09T19:10:40Z","timestamp":1568056240000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11370-018-0260-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,9,10]]},"references-count":38,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2019,1]]}},"alternative-id":["260"],"URL":"https:\/\/doi.org\/10.1007\/s11370-018-0260-2","relation":{},"ISSN":["1861-2776","1861-2784"],"issn-type":[{"value":"1861-2776","type":"print"},{"value":"1861-2784","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,9,10]]},"assertion":[{"value":"22 November 2017","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 September 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 September 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}