Isaac 0.5 Action-Free Robotics Policy Lab

2D Kinematics Policy Arena

Status: Policy Rollout Active

Embodied Task Scenario

Rollout Velocity 1.0x

End-Effector: (0.00, 0.00)
Target Error: 0.0 mm
Token Confidence: 99.4%

Action-Free Video Pretraining 120,000 hrs

Sparse Teleop Demos 5 demos

36B Dynamic MoE Routing

8.2B Active / 36B Total

Layer 1: Multimodal Perception (E1 - E16)

Layer 2: Embodied Spatial Reasoning (E1 - E16)

Layer 3: 6-DoF Trajectory Tokenizer (E1 - E16)

Teleop Reduction Factor

210X

Trajectory Precision Score

94.8%

Teleop Hours Saved

1,045 hrs

Data Cost Savings (USD)

$52,250

Physical Demonstration Scaling Baseline @ 1,050 Demos

Standard Teleop:

1050

Isaac 0.5 (MoE):