Journal ArticleDOI
Mobile robot navigation in 2-D dynamic environments using an electrostatic potential field
Kimon P. Valavanis,T.M. Hebert,Ramesh Kolluru,Nikos C. Tsourveloudis +3 more
- Vol. 30, Iss: 2, pp 187-196
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TLDR
The well-formulated and well-known laws of electrostatic fields are used to prove that the proposed approach generates an approximately optimal path (based on cell resolution) in a real-time frame.Citations
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A review: On path planning strategies for navigation of mobile robot
TL;DR: It has been observed that the reactive approaches are more robust and perform well in all terrain when compared to classical approaches and are used to improve the performance of the classical approaches as a hybrid algorithm.
Journal ArticleDOI
Introduction to Potential Theory. By L. L. Helms. Pp. ix, 282. £7. 1970. (Wiley.)
Journal ArticleDOI
Real-Time Robot Path Planning Based on a Modified Pulse-Coupled Neural Network Model
TL;DR: In a static case where the barriers and targets are stationary, this paper proves that the generated wave in the network spreads outward with travel times proportional to the linking strength among neurons, so the generated path is always the global shortest path from the robot to the target.
Journal ArticleDOI
Autonomous vehicle navigation utilizing electrostatic potential fields and fuzzy logic
TL;DR: An electrostatic potential field (EPF) path planner is combined with a two-layered fuzzy logic inference engine and implemented for real-time mobile robot navigation in a 2-D dynamic environment.
Journal ArticleDOI
An efficient dynamic system for real-time robot-path planning
Allan R. Willms,Simon X. Yang +1 more
TL;DR: This paper proves that the dynamic system converges in a small number of iterations to a state where the minimal distance to a target is recorded at each grid point and shows that this robot-path-planning algorithm can be made to always choose an optimal path.
References
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Book
Robot Motion Planning
TL;DR: This chapter discusses the configuration space of a Rigid Object, the challenges of dealing with uncertainty, and potential field methods for solving these problems.
Book
An Behavior-based Robotics
TL;DR: Following a discussion of the relevant biological and psychological models of behavior, the author covers the use of knowledge and learning in autonomous robots, behavior-based and hybrid robot architectures, modular perception, robot colonies, and future trends in robot intelligence.
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Fibonacci heaps and their uses in improved network optimization algorithms
TL;DR: Using F-heaps, a new data structure for implementing heaps that extends the binomial queues proposed by Vuillemin and studied further by Brown, the improved bound for minimum spanning trees is the most striking.
Book
Behavior-Based Robotics
TL;DR: Whence behaviour? animal behaviour robot behaviour behaviour based architectures representational issues for behavioural systems hybrid deliberative/rective architectures perceptual basis for behaviour-based control adaptive behaviour social behaviour fringe robotics - beyond behaviour.
Journal ArticleDOI
Exact robot navigation using artificial potential functions
Elon Rimon,Daniel E. Koditschek +1 more
TL;DR: A methodology for exact robot motion planning and control that unifies the purely kinematic path planning problem with the lower level feedback controller design is presented.