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Mobile Robot Collision Avoidance Algorithm Based on Hybrid Zeno Behavior Automaton

Authors: Shou-tao Li; Yuan-chun Li; Hui-qiu Lu;

Mobile Robot Collision Avoidance Algorithm Based on Hybrid Zeno Behavior Automaton

Abstract

Zeno behavior in behavior-based system, which is two or more deterministic behaviors make infinite number of discrete transitions in finite time, can cause the motion speed and rotational velocity of the mobile robot change precipitately. Furthermore, the sharp shift of different behaviors will even exacerbate the absolute position errors. This paper present a new collision avoidance algorithm based on hybrid zeno behavior automaton which can eliminate the negative effect of the sharp shift of different behaviors. The core theoretical foundations on designing of the compound zeno behavior in hierarchical hybrid behaviors are presented, including the definitions of different type of behaviors and some theorems, which prove the feasibility of the algorithm. After that, the paper focuses on producing emergency behaviors that lead the mobile robot navigation around the obstacles without sharp shift of different behaviors. Simulation results illustrate the good performance of the control algorithms.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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