Published December 10, 2020
| Version v1
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Deep Reinforcement Learning for Visual Navigation and Active Tracking
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Description
In this contribution, we present our research line on Deep Reinforcement Learning approaches for robot navigation, in particular: Target-Driven Visual Navigation and Visual Active Tracking. We assess our methods capabilities in several challenging scenarios and in a number of environments previously unseen during training. Finally, we also prove that they can be effectively deployed in real-world settings on real platforms.
Notes
https://youtu.be/yuFUo1gYGsU
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Deep Reinforcement Learning for Visual Navigation and Active Tracking-yuFUo1gYGsU.mp4
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