A Reinforcement Learning Approach to Lift Generation in Flapping MAVs: Experimental Results

— In [17] we proposed an RL framework for control of flapping-wing MAVs. The algorithm has been discussed and simulation results using a quasi-steady model showed initial promise. In this paper, the results from an experiment on a Drosophila-based dynamically scaled model are presented and are used to verify the control framework. Moreover, a comparison between a biological Drosophila melanogaster and the experimental results shows the actual possibility of employing the proposed approach to MAV control problem.

• Type: Conference
• Year: 2007
• Where: ICRA
• Authors: Mehran Motamed, Joseph Yan
• Keywords: Biological Drosophila Melanogaster, ICRA 2007, RL Framework, Robotics, flapping-wing Mavs