Mobile Robot Navigation and Obstacle Avoidance Techniques: A Review
Anish P,ey,Shalini P,Dayal R. Parhi +3 more
- Vol. 2, Iss: 3
TLDR
The present article focuses on the study of the intelligent navigation techniques, which are capable of navigating a mobile robot autonomously in static as well as dynamic environments.Citations
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A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods
TL;DR: A comprehensive study on devices/sensors and prevalent sensor fusion techniques developed for tackling issues like localization, estimation and navigation in mobile robot are presented and give good direction for further investigation on developing methods to deal with the discrepancies faced with autonomous mobile robot.
Journal ArticleDOI
Deep reinforcement learning based mobile robot navigation: A review
TL;DR: This paper systematically compares and analyzes the relationship and differences between four typical application scenarios: local obstacle avoidance, indoor navigation, multi-robot navigation, and social navigation; and describes the development of DRL-based navigation.
Journal ArticleDOI
A Survey of Machine Learning Techniques for Indoor Localization and Navigation Systems
Priya Roy,Chandreyee Chowdhury +1 more
TL;DR: In this paper, a comprehensive state-of-the-art survey on machine learning techniques that have recently been adopted for indoor localization purposes is presented, along with basic localization principles, applications, and the underlying problems and challenges associated with the existing systems.
Journal ArticleDOI
Toward Socially Aware Person-Following Robots
Shanee Honig,Tal Oron-Gilad,Hanan Zaichyk,Vardit Sarne-Fleischmann,Samuel Olatunji,Yael Edan +5 more
TL;DR: To guide the design of socially aware person following robots, a user-needs layered design framework that combines the four factor categories is proposed and provides a systematic way to incorporate social considerations in theDesign of person-following robots.
Journal ArticleDOI
Mobile robot path planning in dynamic environment based on cuckoo optimization algorithm
TL;DR: A new method based on cuckoo optimization algorithm is proposed for solving the mobile robot path planning problem in a dynamic environment and the feature vector is reduced in dimension via a new proposed technique to diminish the computational complexity.
References
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Equation of state calculations by fast computing machines
TL;DR: In this article, a modified Monte Carlo integration over configuration space is used to investigate the properties of a two-dimensional rigid-sphere system with a set of interacting individual molecules, and the results are compared to free volume equations of state and a four-term virial coefficient expansion.
Proceedings ArticleDOI
Ant colony optimization: a new meta-heuristic
Marco Dorigo,G. Di Caro +1 more
TL;DR: This work defines the Ant Colony Optimization (ACO) meta-heuristic by defining these algorithms in a common framework by defining the foraging behavior of ant colonies as a meta- heuristic.
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Motion planning in a plane using generalized Voronoi diagrams
O. Takahashi,R.J. Schilling +1 more
TL;DR: An algorithm for planning a collision-free path for a rectangle in a planar workspace populated with polygonal obstacles is presented and is demonstrated to be quite fast with execution times comparable to, or exceeding, those of the freeway method.
Journal ArticleDOI
Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation
TL;DR: A novel proposal to solve the problem of path planning for mobile robots based on Simple Ant Colony Optimization Meta-Heuristic (SACO-MH), named SACOdm, where d stands for distance and m for memory.
Journal ArticleDOI
Robot path planning in uncertain environment using multi-objective particle swarm optimization
TL;DR: Several new operations/improvements such as the particle update method based on random sampling and uniform mutation, the infeasible archive, the constrained domination relationship based on collision times with obstacles, are incorporated into the proposed algorithm to improve its effectiveness.