Using Deep Learning for Perception in Autonomous Systems - A Perspective from Control Theory

Using Deep Learning for Perception in Autonomous Systems - A Perspective from Control Theory

Simons Institute via YouTube Direct link

Comparison with Geometric Mapping-based Approaches

7 of 9

7 of 9

Comparison with Geometric Mapping-based Approaches

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Using Deep Learning for Perception in Autonomous Systems - A Perspective from Control Theory

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

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