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Erschienen in: Formal Methods in System Design 1/2017

05.01.2017

Collision avoidance for mobile robots with limited sensing and limited information about moving obstacles

verfasst von: Dung Phan, Junxing Yang, Radu Grosu, Scott A. Smolka, Scott D. Stoller

Erschienen in: Formal Methods in System Design | Ausgabe 1/2017

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Abstract

This paper addresses the problem of safely navigating a mobile robot with limited sensing capability and limited information about stationary and moving obstacles. We consider two sensing limitations: blind spots between sensors and limited sensing range. We study three notions of safety: (1) static safety, which ensures collision-freedom with respect to stationary obstacles, (2) passive safety, which ensures collision-freedom while the robot is moving, and (3) passive friendly safety, which ensures the robot leaves sufficient room for obstacles to avoid collisions. We present a runtime approach, based on the Simplex architecture, to ensure these safety properties. To obtain the switching logic for the Simplex architecture, we identify a set of constraints on the sensor readings whose satisfaction at time t guarantees that the robot will still be able to ensure the safety property at time \(t + {\varDelta } t\), regardless of how it navigates during that time interval. Here, \({\varDelta } t\) is the period with which the switching logic is executed and is bounded by a function of the maximum velocity and braking power of the robot and the range of the sensors. To the best of our knowledge, this work is the first that provides runtime assurance that an autonomous mobile robot with limited sensing can navigate safely with limited information about obstacles. The limited information about obstacles is used to derive an over-approximation of the set of nearby obstacle points.

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Fußnoten
1
Cameras, i.e., sensing based on computer vision, do not interfere with each other but are less common as a basis for navigation due to other disadvantages: cameras depend on good lighting; accurate ranging from stereoscopic vision is impossible on small robots and is generally less accurate than and requires significantly more computational power than ranging from lasers, ultrasound, infrared, etc.
 
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Metadaten
Titel
Collision avoidance for mobile robots with limited sensing and limited information about moving obstacles
verfasst von
Dung Phan
Junxing Yang
Radu Grosu
Scott A. Smolka
Scott D. Stoller
Publikationsdatum
05.01.2017
Verlag
Springer US
Erschienen in
Formal Methods in System Design / Ausgabe 1/2017
Print ISSN: 0925-9856
Elektronische ISSN: 1572-8102
DOI
https://doi.org/10.1007/s10703-016-0265-4

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