Multi-Layered Interactive Target Guidance with Visual Safety in Convex-Shaped Obstacle Environments

In this paper, we consider a control architecture for a mobile robot equipped with visual sensors to pursue a target object in an environment with convex-shaped obstacles. The pursuit involves crucial occlusion avoidance and field of view maintenance, referred to as visual safety. Our goal is to achieve this safety through a multi-layered control architecture consisting of a planning layer and a safety layer. We propose functions that represent occlusion avoidance and field of view maintenance and derive conditions for these to act as control barrier functions. Utilizing these functions, we implement an optimal control at the planning layer and an optimization-based control at the safety layer. The effectiveness of this method is verified through two tasks: guiding the target object into a target location and preventing the target object from entering a target location.

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Institutions

Publication Details

Journal
Applied Sciences
Published
2024-12-11
DOI
https://doi.org/10.3390/app142411544
Citations
1
Primary Topic
Robotics and Sensor-Based Localization
Type
article
Field-Weighted Citation Impact
1.30

Funders

Controls
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article

Multi-Layered Interactive Target Guidance with Visual Safety in Convex-Shaped Obstacle Environments

Koki Kanno, Junya Yamauchi, Masayuki Fujita
1 citations
Applied Sciences
Robotics and Sensor-Based Localization
1.30
article

Multi-Layered Interactive Target Guidance with Visual Safety in Convex-Shaped Obstacle Environments

Koki Kanno, Junya Yamauchi, Masayuki Fujita
article en
1 citations

Abstract

In this paper, we consider a control architecture for a mobile robot equipped with visual sensors to pursue a target object in an environment with convex-shaped obstacles. The pursuit involves crucial occlusion avoidance and field of view maintenance, referred to as visual safety. Our goal is to achieve this safety through a multi-layered control architecture consisting of a planning layer and a safety layer. We propose functions that represent occlusion avoidance and field of view maintenance and derive conditions for these to act as control barrier functions. Utilizing these functions, we implement an optimal control at the planning layer and an optimization-based control at the safety layer. The effectiveness of this method is verified through two tasks: guiding the target object into a target location and preventing the target object from entering a target location.

Applied SciencesVol. 14(24)
Kanazawa Institute of Technology (JP), University of Toyama (JP), The University of Tokyo (JP)
Japan Society for the Promotion of Science
Sustainable cities and communities
Openalex Percentile: Top 11%
Robotics and Sensor-Based Localization
1.30
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