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Explore cutting-edge Neural Animator models and their training sets for physical models. Dive into multi-link pendulum emulations, biomechanical dolphin simulator, iterated control learning, and lunar lander challenges.
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NeuroAnimator Physical Model Trained NeuroAnimator Demo • Which one is the physical model?
Example NeuroAnimators Inputs: 12 Outputs: 6 Hidden Units: 20 Training set: 3K Inputs: 8 Outputs: 6 Hidden Units: 40 Training set: 5K Inputs: 17 Outputs: 13 Hidden Units: 50 Training set: 13K Inputs: 84 / 76 Outputs: 78 / 36 Hidden Units: 50 / 40 Training set: 64K / 32K
Multi-Link Pendulum Emulation • Passive pendulum in gravity
Multi-Link Pendulum Emulation • Active pendulum (motor torques) in gravity
Multi-Link Pendulum Emulation • Passive pendulum driven by external force
Biomechanical Dolphin Emulation • 50-timestep emulator is in foreground
Pendulum Control Learning • Iteration 1
Pendulum Control Learning • Iteration 3
Pendulum Control Learning • Iteration 6
Pendulum Control Learning • Iteration 9
Pendulum Control Learning • Iteration 12
Pendulum Control Learning • Iteration 15
Controlling the Physical Model • Physical pendulum model is purple
Dolphin Locomotion Learning • Iteration 1
Dolphin Locomotion Learning • Iteration 3
Dolphin Locomotion Learning • Iteration 5
Dolphin Locomotion Learning • Iteration 8
Dolphin Locomotion Learning • Iteration 11
Dolphin Locomotion Learning • Iteration 14
Lander Control Learning • Iteration 1
Lander Control Learning • Iteration 3
Lander Control Learning • Iteration 6
Lander Control Learning • Iteration 9
Lander Control Learning • Iteration 12
Lander Control Learning • Iteration 15