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Proceedings ArticleDOI

A cooperative path-planning for multiple automata by dynamic/static conversion

TLDR
An online path-planning algorithm for multiple automata that decomposes all simple and complex swarms uniformly by the following dynamic/static conversion: some automata are stopped in the swarm, and the others are moved around the set of stopped automata.
Abstract
An online path-planning algorithm for multiple automata is proposed. Each automaton usually goes straight to the goal. When some of the automata touch each other, some kind of swarm occurs and is identified by sensors. In general, several kinds of swarm appear, since a lot of automata collide in different circumstances. The proposed algorithm decomposes all simple and complex swarms uniformly by the following dynamic/static conversion: some automata are stopped in the swarm, and the others are moved around the set of stopped automata. By using this conversion, the algorithm destroys all swarms by some simple motions in common and is easily applied for some practical robots. Moreover, the automata decompose the swarm by cooperative motions as follows: an inside automaton comes close to its goal monotonously. Since all automata go straight to their goals outside the swarm, convergence of the automata toward their goals is naturally ensured. Communication overhead is kept small enough by using the monotony property, and consequently the algorithm can run online.

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Citations
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Proceedings ArticleDOI

Petri Net-Based Cooperation In Multi-Agent Systems

TL;DR: A formal framework for robotic cooperation is presented in which an extension to Petri nets, known as workflow nets, is used to establish a protocol among mobile agents based on the task coverage they maintain.
Journal ArticleDOI

Motion skills in multiple mobile robot system

TL;DR: An algorithm for acquiring and utilizing motion skills in motion planning of multiple mobile robots is proposed and the concept of sensor information pattern is introduced for recognizing the specific situation.

Workflow-Net Based Cooperative Multi-Agent Systems

Yehia Kotb
TL;DR: A cooperative framework with operators that assign tasks to agents based on their capabilities to achieve the required task is proposed and a cooperative algebra converts the plan into a set of matrices that model the cooperative workflow among agents.
Book ChapterDOI

On a Deadlock-free Characteristic of the On-line and Decentralized Path-planning for Multiple Automata

TL;DR: An on-line and decentralized path-planning algorithm for multiple automata and its deadlock-free characteristic in an infinite 2-d world is proposed and discussed.
Journal ArticleDOI

Motion planning of multiple mobile robots by a combination of learned visibility graphs and virtual impedance

TL;DR: A hierarchical architecture with two layers 'learned visibility graph layer (upper layer)' and 'virtual impedance layer (lower layer)' (one of the potential field planning method) is presented, which is capable of adequate path generation and motion.
References
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Book

Real-time obstacle avoidance for manipulators and mobile robots

TL;DR: This paper reformulated the manipulator control problem as direct control of manipulator motion in operational space-the space in which the task is originally described-rather than as control of the task's corresponding joint space motion obtained only after geometric and kinematic transformation.
Journal ArticleDOI

An algorithm for planning collision-free paths among polyhedral obstacles

TL;DR: A collision avoidance algorithm for planning a safe path for a polyhedral object moving among known polyhedral objects that transforms the obstacles so that they represent the locus of forbidden positions for an arbitrary reference point on the moving object.
Journal ArticleDOI

Path-planning strategies for a point mobile automaton moving amidst unknown obstacles of arbitrary shape

TL;DR: A worst-case lower bound on the length of paths generated by any algorithm operating within the framework of the accepted model is developed; the bound is expressed in terms of the perimeters of the obstacles met by the automaton in the scene.
Book ChapterDOI

Solving the find-path problem by good representation of free space

TL;DR: An algorithm is presented which efficiently finds good collision-free paths for convex polygonal bodies through space littered with obstacle polygons by characterizing the volume swept by a body as it is translated and rotated as a generalized cone.
Journal ArticleDOI

Multiresolution path planning for mobile robots

TL;DR: Hierarchical path-searching methods are introduced, which make use of this multiresolution representation, to speed up the path planning process considerably.
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