Mohan Sridharan

Computer Science

1. Robot 100%
2. Domain Knowledge 84%
3. Reinforcement Learning 43%
4. Knowledge Representation and Reasoning 37%
5. Logical Reasoning 32%
6. Probabilistic Graphical Model 20%
7. Experimental Result 19%
8. Transition Diagram 19%
9. Markov Decision Process 18%
10. Human-Robot Interaction 18%
11. Artificial Intelligence 18%
12. Spatial Relation 16%
13. Commonsense Reasoning 16%
14. Relational Representation 16%
15. Capability Architecture 16%
16. Ad Hoc Teamwork 15%
17. Knowledge Acquisition 14%
18. Deep Learning Method 14%
19. Domain Representation 14%
20. Mobile Robot 14%
21. Learning Problem 13%
22. Cognitive System 13%
23. Execution Time 13%
24. System Description 12%
25. Action Language 11%
26. Decision Tree Induction 10%
27. Desired Location 10%
28. Active Learning 9%
29. Time Constraint 9%
30. Probabilistic Planning 9%
31. Human Robot Interaction 9%
32. Interaction Dynamic 9%
33. Decision-Making 9%
34. Execution Plan 9%
35. Noisy Observation 9%
36. Computational Resource 8%
37. Pattern Recognition 8%
38. Task Execution 8%
39. Simulation Environment 7%
40. Training Example 7%
41. Reasoning Mechanism 7%
42. Internal Representation 7%
43. Simulated Image 7%
44. Large Language Model 7%
45. Control Strategy 7%
46. Navigation Task 6%
47. Decision Tree 6%
48. Learning System 6%
49. Machine Learning 6%
50. Past Experience 6%