基於仿生技術及深度學習研發會跳、會跑或會飛的機器人-總計畫暨子計畫四：基於仿生演算法暨深度學習之奔跑及跳躍人形機器人之開發

Keyphrases

1. Algorithm Learning 100%
2. Bio-inspired Algorithms 100%
3. Deep Learning 100%
4. Running Robot 100%
5. Jumping Robot 100%
6. Humanoid Robot 100%
7. Artificial Intelligence Algorithm 100%
8. Robot Base 100%
9. Robot Pose 66%
10. Pressure Sensor 66%
11. First Year 66%
12. Weight-bearing 66%
13. Excellent Performance 66%
14. Environmental Data 66%
15. Learning Algorithm 66%
16. Path Planning System 66%
17. Planning Decisions 33%
18. Inertial Measurement Unit Sensors 33%
19. Pose Planning 33%
20. Upper Body 33%
21. Robot Competition 33%
22. Optimization Methods 33%
23. Robot Path 33%
24. Impact Force 33%
25. Integrated Project 33%
26. Learning-based Optimization 33%
27. Angular Momentum Conservation 33%
28. Path Planning 33%
29. Depth Camera 33%
30. Robot Balance 33%
31. Movement Planning 33%
32. Bearing Capability 33%
33. Movement Efficiency 33%
34. Flying Robot 33%
35. Movement Decisions 33%
36. Control System 33%
37. Grasshopper 33%
38. Algorithm Method 33%
39. Mechanism Design 33%
40. Learnability 33%
41. Measure Center 33%
42. Inclination Angle 33%
43. Bearing Mechanism 33%
44. Center of Gravity 33%
45. Biped 33%
46. Moving Trajectory 33%

Computer Science

1. Inspired Algorithm 100%
2. Humanoid Robots 100%
3. Robot 100%
4. Deep Learning Method 100%
5. Robotics 81%
6. path-planning 27%
7. Artificial Intelligence 27%
8. Learning Algorithm 18%
9. Environmental Information 18%
10. Outstanding Performance 18%
11. Movement Decision 9%
12. Angular Momentum 9%
13. Measurement Unit 9%
14. Learning Ability 9%
15. Mechanism Design 9%
16. Decision Making 9%