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Path Planning with Obstacle Avoidance Based on Normalized R-Functions
2018
Journal of Robotics
Existing methods for path planning with obstacle avoidance need to check having the interference between a moving part and an obstacle at iteration and even to calculate their shortest distance in the case of given motion parameters. Besides, the tasks like collision-checking and minimum-distance calculating themselves are complicated and time-consuming. Rigorous mathematical analysis might be a practical way for dealing with the above-mentioned problems. An R-function is a real-valued function
doi:10.1155/2018/5868915
fatcat:jcmratu44bf5zbayyvgxcptozy