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• W2081347248 abstract "Terrain assessment and path planning for mobile robots are intrinsically linked. There exists a variety of terrain assessment algorithms and these methods follow the trend of low-fidelity at low-cost and high-fidelity at high-cost. We present a modular path-planning algorithm that uses a hierarchy of terrain-assessment methods, from low-fidelity to high-fidelity. Using the available sensor data, the visible terrain is first assessed with the low-fidelity, low-cost method. The decision to assess a piece of terrain with the high-fidelity, high-cost method is made considering potential path benefits and the cost of assessment. This can be thought of as providing a means to triage large amounts of terrain data. The result is a lower combined cost of the path and terrain assessment that exploits the capabilities of the robot chassis where prudent. We demonstrate a system using one implementation of the technique on a large number of simulated path planning problems in fractal terrain. Additionally, we provide results and system details from an experimental field test carried out on Devon Island, Canada." @default.
• W2081347248 created "2016-06-24" @default.
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• W2081347248 date "2012-09-01" @default.
• W2081347248 modified "2023-09-27" @default.
• W2081347248 title "Path planning with variable-fidelity terrain assessment" @default.
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• W2081347248 doi "https://doi.org/10.1016/j.robot.2012.05.020" @default.
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