Learning to Generate Cost-to-Go Functions for Efficient Motion Planning

Mathematics

• Motion Planning 100%
• Configuration Space 80%
• Learning 67%
• Costs 53%
• Workspace 52%
• Collision 37%
• Trajectory 29%
• Robot Manipulator 28%
• Network Architecture 28%
• Execution Time 24%
• Robot 22%
• Architecture 20%
• Neural Networks 17%
• Propagation 16%
• Generating Function 15%
• Configuration 14%
• Continuous Function 14%
• Gradient 14%
• Output 13%
• Higher Order 13%
• Iteration 12%
• Simulation 11%

Engineering & Materials Science

• Motion planning 70%
• Costs 28%
• Trajectories 17%
• Robots 15%
• Network architecture 11%
• Manipulators 10%
• Neural networks 7%