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Article

Symbiotic Navigation in Multi-Robot Systems with Remote Obstacle Knowledge Sharing

Faculty of Engineering, Lab of Robotics and Dynamics, Hokkaido University, Sapporo 060-8628, Japan
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Author to whom correspondence should be addressed.
Sensors 2017, 17(7), 1581; https://doi.org/10.3390/s17071581
Received: 5 June 2017 / Revised: 3 July 2017 / Accepted: 4 July 2017 / Published: 5 July 2017
Large scale operational areas often require multiple service robots for coverage and task parallelism. In such scenarios, each robot keeps its individual map of the environment and serves specific areas of the map at different times. We propose a knowledge sharing mechanism for multiple robots in which one robot can inform other robots about the changes in map, like path blockage, or new static obstacles, encountered at specific areas of the map. This symbiotic information sharing allows the robots to update remote areas of the map without having to explicitly navigate those areas, and plan efficient paths. A node representation of paths is presented for seamless sharing of blocked path information. The transience of obstacles is modeled to track obstacles which might have been removed. A lazy information update scheme is presented in which only relevant information affecting the current task is updated for efficiency. The advantages of the proposed method for path planning are discussed against traditional method with experimental results in both simulation and real environments. View Full-Text
Keywords: robot path planning, multi-robot knowledge sharing, robots in sensor network robot path planning, multi-robot knowledge sharing, robots in sensor network
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MDPI and ACS Style

Ravankar, A.; Ravankar, A.A.; Kobayashi, Y.; Emaru, T. Symbiotic Navigation in Multi-Robot Systems with Remote Obstacle Knowledge Sharing. Sensors 2017, 17, 1581. https://doi.org/10.3390/s17071581

AMA Style

Ravankar A, Ravankar AA, Kobayashi Y, Emaru T. Symbiotic Navigation in Multi-Robot Systems with Remote Obstacle Knowledge Sharing. Sensors. 2017; 17(7):1581. https://doi.org/10.3390/s17071581

Chicago/Turabian Style

Ravankar, Abhijeet, Ankit A. Ravankar, Yukinori Kobayashi, and Takanori Emaru. 2017. "Symbiotic Navigation in Multi-Robot Systems with Remote Obstacle Knowledge Sharing" Sensors 17, no. 7: 1581. https://doi.org/10.3390/s17071581

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