Figure 1:
(a) Structured neural network architecture with explicit inertia matrix representation. Physics-based domain knowledge is introduced into the design of neural network architecture for modeling target dynamics. (b) Two-stage dynamics modeling method for contact-rich tasks. We investigated the control performance of real-time, model-based control methods on a trackball-manipulation task using a real 3-DoF finger robot.

(a) Structured neural network architecture with explicit inertia matrix representation. Physics-based domain knowledge is introduced into the design of neural network architecture for modeling target dynamics. (b) Two-stage dynamics modeling method for contact-rich tasks. We investigated the control performance of real-time, model-based control methods on a trackball-manipulation task using a real 3-DoF finger robot.

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