Embodied AI Hardware Frontier Lab

Real-Time Kinematics & Contact Loop STABLE CONVERGENCE

Drag Target Sphere (○) or End-Effector to Test Physics

NPU TO TORQUE LATENCY: 18.4 ms

CONTROL BANDWIDTH: 250 Hz

CONTACT JITTER / ERROR: 0.32 mm

Frame Rate: 60 FPS

Tracking Error 0.32 mm

Overshoot Penalty 1.4 %

Actuator Thermal Load 42 °C / 85°C

Token Stream Rate 1.24 Gbps

1. Sensorimotor Loop Edge Stack

Control Loop Frequency 250 Hz

Low rates (<50Hz) cause violent oscillation in contact tasks.

On-Device NPU Latency 12 ms

Vision transformer inference + policy forward pass delay.

Sensor Noise & Proprio Jitter 0.8 mm

2. Actuation Co-Design Physics

Actuator Transmission Type

Gear inertia delays torque response to unexpected contact.

Peak Joint Torque 65 Nm

Tactile Skin Array High-Density Taxel Mesh (Fingertip / Palm)

32×32 (1024 Taxels)

Draw / scrub across the pad to simulate shear forces, contact micro-vibrations, and slip detection. High tactile fidelity enables zero-slip fragile manipulation without crushing objects.

Resolution:

Peak Shear Force: 0.00 N

Slip Prevention Margin: 98.4% (Locked)

Thermal & Power Envelope Physical Co-Design Constraints

THROTTLE RISK: LOW

Running large 10B+ physical world models on untethered humanoids draws extreme battery power. As winding temperatures exceed 80°C, firmware forces torque derating, degrading policy stability.

Onboard Compute Power Budget 45 Watts (60 TOPS)

Actuator Thermal Headroom 62% Remaining

Contact Stability Margin (Lyapunov Bounded) 88% Stable

Battery Discharge Rate (Continuous Operation) 2.8 Hours Runtime

Physical Data Scaling Tokens vs Teleop Fleet Economics

Frontier Lab Frontier

Unlike text tokens, physical robot trajectories have an acute distribution cliff. Synthetic physics simulation yields high volume but incurs a Sim2Real reality gap penalty.

Real-World Teleoperation Fleet Hours 25,000 hrs

GPU Physics Sim Tokens 1.5B steps

Zero-Shot Success 84.6%

Estimated Data Cost $1.35M USD

Sim2Real Transfer Gap 15.4% Residual

Fleet Maintenance MTBF 410 Hours

Sensorimotor Co-Design Inference Pipeline

Hardware signal path: Photons & Taxels → Edge Tensor Quantization → Latent World Model → Low-Level Motor Currents.

Total End-to-End Latency: 18.4 ms

01. Sensory Acquisition

Stereo RGB-D cameras (60Hz) + High-frequency joint encoders (1kHz) + Tactile skin array.

Delay: 3.2 ms

02. Vision-Language-Action NPU

Quantized INT8/FP8 spatial transformer predicts continuous 6-DoF delta end-effector pose.

Delay: 12.0 ms

03. Inverse Dynamics & Impedance

High-speed analytical solver converts Cartesian delta into joint torque targets with gravity compensation.

Delay: 0.8 ms

04. FOC Motor Actuation

Field-Oriented Current Control loops at 20kHz pulsing brushless motors through gearboxes.

Delay: 2.4 ms