Fuzzy based reactive navigational strategy for mobile agent

Kundu, Shubhasri; Parhi, Dayal R.

doi:10.1109/iecr.2010.5720149

Cited by 12 publications

(11 citation statements)

References 13 publications

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“…This approach considers the human-like reasoning style of fuzzy systems using fuzzy sets and linguistic model that are composed of if-then fuzzy rules as well as ANN [243]. The use of neuro-fuzzy system approach in obstacle avoidance for mobile robots' research has been considered by many researchers [101,[244][245][246][247][248][249][250][251][252][253][254][255][256][257][258][259][260].…”

Section: Neuro-fuzzy Path Planningmentioning

confidence: 99%

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ayawli

Chellali

Appiah

et al. 2018

Journal of Advanced Transportation

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Safe and smooth mobile robot navigation through cluttered environment from the initial position to goal with optimal path is required to achieve intelligent autonomous ground vehicles. There are countless research contributions from researchers aiming at finding solution to autonomous mobile robot path planning problems. This paper presents an overview of nature-inspired, conventional, and hybrid path planning strategies employed by researchers over the years for mobile robot path planning problem. The main strengths and challenges of path planning methods employed by researchers were identified and discussed. Future directions for path planning research is given. The results of this paper can significantly enhance how effective path planning methods could be employed and implemented to achieve real-time intelligent autonomous ground vehicles.

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Section: Neuro-fuzzy Path Planningmentioning

confidence: 99%

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Ayawli

Chellali

Appiah

et al. 2018

Journal of Advanced Transportation

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“…In the papers [67][68][69][70][71] neuro fuzzy technique for various engineering applications have been discussed. Singh et al, [72][73][74][75][76] have used neural network and fuzzy logic for robots navigation in various environmental conditions. Pandey et al 77,78 have discussed about fuzzy logic and ANFIS method for control of robots subjected to various terrains.…”

Section: Analysis Of Various Ai Techniques Used For Navigationmentioning

confidence: 99%

Advancement in navigational path planning of robots using various artificial and computing techniques

Parhi¹

2018

IRATJ

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In this paper, a review analysis has been carried out on navigational methodologies of robots with the help of various artificial intelligence techniques such as Fuzzy Logic, Neural Network, Genetic Algorithm, Particle Swarm Optimisation (PSO) and other Artificial Intelligence techniques. During the survey analysis a systematic review has been done and shown how various artificial intelligence techniques can be successfully used for control and navigation of various types of robots subjected to various environmental conditions.

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“…A hybrid Fuzzy-Neuro algorithm for wheeled robot motion planning was given by Kundu, et al [47]. Pradhan, et al [48] have reviewed about the navigation of multiple wheeled robots by implementing Neuro-Fuzzy code.…”

Section: Neuro-fuzzy Technique For Wheeled Robot Motion Planningmentioning

confidence: 99%

Different Nature-Inspired Techniques Applied for Motion Planning of Wheeled Robot: A Critical Review

Kashyap

Pandey

2018

IJARA

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Motion planning is one of the most important parts when we design any wheeled or walking robots. The meaning of motion planning is to plan a path from start point to goal point between obstacles in any working environment. Many techniques have applied by researchers from last two-three decades for wheeled robot motion planning. This article presents a critical review on motion planning of wheeled robot by using different nature-inspired techniques like evolutionary algorithm and swarm-based optimization algorithm.

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Fuzzy based reactive navigational strategy for mobile agent

Cited by 12 publications

References 13 publications

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

An Overview of Nature-Inspired, Conventional, and Hybrid Methods of Autonomous Vehicle Path Planning

Advancement in navigational path planning of robots using various artificial and computing techniques

Different Nature-Inspired Techniques Applied for Motion Planning of Wheeled Robot: A Critical Review

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