Building Embodied Autonomous Agents

Building Embodied Autonomous Agents

MIT Embodied Intelligence via YouTube Direct link

Neural Topological SLAM

17 of 31

17 of 31

Neural Topological SLAM

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Classroom Contents

Building Embodied Autonomous Agents

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  1. 1 Intro
  2. 2 Learning Behaviors
  3. 3 Physical Intelligence
  4. 4 Goal-conditioned Navigation
  5. 5 Real World: Object Goal Navigation
  6. 6 Navigation Tasks
  7. 7 Active Neural SLAM: Overview
  8. 8 Neural SLAM Module
  9. 9 Domain Generalization: Matterport3D
  10. 10 Exploration Results
  11. 11 Point-Goal Navigation
  12. 12 Harder Datasets
  13. 13 Semantic Priors and Common Sense
  14. 14 Topological Maps
  15. 15 Topological Graph Representation
  16. 16 Semantic Prediction
  17. 17 Neural Topological SLAM
  18. 18 Internet vs Embodied Data
  19. 19 Using Internet models for Embodied Agents
  20. 20 Embodied Perception
  21. 21 Perception-Action Loop
  22. 22 SEAL: Self-supervised Embodied Active Learning
  23. 23 3D Semantic Mapping
  24. 24 Gainful Curiosity
  25. 25 Policy Learning
  26. 26 3D Label Propagation
  27. 27 Explicit Semantic Mapping
  28. 28 Results: Object Goal Navigation
  29. 29 EIF: Embodied Instruction Following: ALFRED
  30. 30 Simulation to Real
  31. 31 Building Intelligent Agents

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