Data-Driven Hazard Avoidance Landing of Parafoil: A Deep Reinforcement Learning Approach
Junwoo Park,
Hyochoong Bang
Abstract:This paper examines a couple of realizations of autonomous landing hazard avoidance technology of parafoil: a reinforcement-learning-based approach and a rule-based approach, advocating the former. Furthermore, comparative advantages and behavioral analogies between the two approaches are presented. In the data-driven approach, a decision process observing only a series of nadir-pointing images is designed without explicit augmentation of vehicle dynamics for the homogeneity of observation data. An agent then … Show more
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