Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations
@article{Bonatti2019LearningVP, title={Learning Visuomotor Policies for Aerial Navigation Using Cross-Modal Representations}, author={Rogerio Bonatti and Ratnesh Madaan and Vibhav Vineet and S. Scherer and A. Kapoor}, journal={arXiv: Computer Vision and Pattern Recognition}, year={2019} }
Machines are a long way from robustly solving open-world perception-control tasks, such as first-person view (FPV) aerial navigation. While recent advances in end-to-end Machine Learning, especially Imitation and Reinforcement Learning appear promising, they are constrained by the need of large amounts of difficult-to-collect labeled real-world data. Simulated data, on the other hand, is easy to generate, but generally does not render safe behaviors in diverse real-life scenarios. In this work… CONTINUE READING
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