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Open accessProceedings ArticleDOI
Ananth Ranganathan, Sven Koenig 
03 Dec 2003
37 Citations
Our robot architecture differs from other robot architectures in that it gives planning progressively greater control of the robot if reactive navigation continues to fail, until planning controls the robot directly.
Wall-following is an effective and economical approach for a robot to navigate in an environment where physical features like walls exist as natural references for its movements.
The experimental results indicate that the robot can efficiently navigate to target destinations.
By adopting probabilistic approach, our framework helps the robot to select the most desirable navigation behavior in run time according to environmental conditions.
It is argued in this paper, that the same framework can be extended to robot navigation, but with the realization of the dimensions appearing quite different in robotics world.
We present a planning algorithm that enables such a robot to navigate reliably through its environment.
Proceedings ArticleDOI
Nan Zhou, Xiaoguang Zhao, Min Tan 
01 Nov 2013
17 Citations
Experimental result shows that our proposed scheme is well-performed and can effectively navigate the robot equipped only with simply sensors for communication and obstacle avoidance.
The proposed method complements the reactive behaviour and allows the robot to navigate safely in a partially known environment during a long time period without human intervention.

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