Imitation Learning based on Generative Adversarial Networks for Robot Path Planning
Robot path planning and dynamic obstacle avoidance are defined as a problem that robots plan a feasible path from a given starting point to a destination point in a nonlinear dynamic environment, and safely bypass dynamic obstacles to the destination with minimal deviation from the trajectory. Path...
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| Language: | en |
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2020
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| Online Access: | http://hdl.handle.net/10754/666096 |