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An Exploration-Enhanced Search Algorithm for Robot Indoor Source Searching
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DOI：10.1109/TRO.2024.3454572.png)
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摘要
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Chemical, biological, or radioactive substances may be released in accidents, posing a threat to human life and property. Due to the dense obstacles and specific structures of indoor environments, indoor source searching still faces challenges, such as the initial position of the robot cannot be placed freely, the source may not be in the airflow, and most areas indoors lack concentration and airflow clues. This study proposes an exploration-enhanced search algorithm, enabling the robot to search for a source located downstream of the robot or outside the airflow in an indoor environment with a narrow plume without losing the classic upstream search ability. The algorithm equips the robot with the capability to search for a source in complex indoor environments where measurements frequently change. The algorithm is evaluated in the simulated environment to assess the contributions of its components and its performance under different airflow speeds. The algorithm is also compared with the state-of-the-art algorithms and shows superior performance. The effectiveness of the algorithm is further demonstrated in real-world environments.
Keyword:
Robots
Robot sensing systems
Indoor environment
Sensors
Search problems
Dispersion
Computational modeling
Frontier-based exploration
indoor
rapidly-exploring random trees (RRTs)
robot
source searching
期刊
IF:
10.5
论文数:
3.3K
被引数:
2.8W
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