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Using deep learning for perception in robotics: a perspective from control theory
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Using Deep Learning for Perception in Autonomous Systems - A Perspective from Control Theory
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- 1 Using deep learning for perception in robotics: a perspective from control theory
- 2 Safe Learning for Dynamics and Control
- 3 Outline
- 4 How to efficiently navigate an autonomous system with a monocular RGB camera to a goal in an a priori unknown environment?
- 5 Success Rate
- 6 Control Profile
- 7 Comparison with Geometric Mapping-based Approaches
- 8 Some lessons learned
- 9 Summary
