Learning a State Transition Model of an Underactuated Adaptive Hand

Keyphrases

• Feature Space 100%
• Diffusion Maps 100%
• State Transition Model 100%
• Transition Model 100%
• Under-actuated 100%
• Underactuated Robotic Hand 100%
• Actuator 50%
• Learning Model 50%
• Learning Approaches 50%
• Object Position 50%
• Manifold Learning 50%
• Analytical Model 50%
• Verge 50%
• State Transition 50%
• System Configuration 50%
• User Effort 50%
• Present Challenges 50%
• Low-dimensional Subspace 50%
• Gaussian Process 50%
• Closed-loop Control 50%
• Object-oriented Systems 50%
• Stochastic Version 50%
• Geodesic Metric 50%
• Fully-actuated 50%
• Quasi-static Motion 50%
• Manipulation Tasks 50%
• Local Gaussian Process Regression 50%
• Multifingered Hands 50%
• Position Actuator 50%

Computer Science

• State Transition 100%
• Transition Model 100%
• Feature Space 66%
• Actuator 66%
• Learning Approach 33%
• System Configuration 33%
• Analytical Model 33%
• Dimensional Subspace 33%
• Geodesics 33%
• Object Position 33%
• Closed-Loop Control 33%
• robotic hand 33%
• Manifold Learning 33%