Adaptive Embodied
Digital Twin
The universal world model for designing robots, simulating environments, and translating digital designs to physical reality.
Built on USD + PhysX + ROS2 + Isaac Sim
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USD
Universal Scene Description
PhysX
Physics Simulation
ROS2
Robot Middleware
Isaac Sim
AI Training Platform
Digital Twin World Model
A five-layer architecture for building, simulating, and deploying embodied AI systems.
Every Simulation Starts Here
USD BLUEPRINT
- ›Standardized USD Scene Graphs
- ›Universal Geometry & Sensor Mapping
- ›Sim-to-Real Hardware Parity
- ›Zero Translation Divergence
Materials That Think
STATE-DEPENDENT MATERIALS
- ›Live State Material Processing
- ›Dynamic Stiffness & Fatigue Modeling
- ›PhysX 5 Biological Simulation
- ›Real-time Force-Load Adaptation
Policies That Learn From a Living Body
PYTORCH + MPC
- ›Adaptive RL Agent Training
- ›Fatigue & Compliance Awareness
- ›9-Dimensional State Estimation
- ›Fused IMU/EMG/Torque Streams
Trained Across Every Body, Not Just One
ROBUSTNESS BY CONSTRUCTION
- ›Massive Domain Randomization
- ›Stiffness & Damping Variability
- ›Cross-Physiology Generalization
- ›Real-World Robustness Testing
Deployment Is a Promotion, Not a Rewrite
ZERO-FRICTION DEPLOYMENT
- ›Unified ROS2 Material Schema
- ›One-Click Print-to-Deploy
- ›Sim-to-Hardware Signal Parity
- ›Zero-Friction Control Migration
Core Capabilities
Everything you need for physically accurate simulation and real-world deployment.
Adaptive Material Physics
Most simulators treat robot materials as fixed constants. AEDT's physics engine updates stiffness, damping, and compliance in real time — as joints fatigue, loads shift, and forces accumulate. Your simulation reflects how the hardware actually behaves over time.
Sim-to-Real Transfer, By Design
AEDT uses identical ROS2 message types and material state schemas in simulation and on physical hardware. When your policy is ready, deployment is a direct promotion — not a rewrite. No mismatch, no surprises.
Sensor-Fused State Estimation
IMU, EMG, and force-torque data streams are fused in real time through an adaptive Kalman filter, producing a live material state estimate that feeds directly into the control policy. The robot always knows the current condition of its body.
Hardware-Agnostic Architecture
Built on Universal Scene Description (USD) — the same format powering aerospace, automotive, and industrial simulation. Works across industrial arms, wearables, prosthetics, and humanoids without platform lock-in.
Robustness Through Domain Randomization
Policies train across thousands of randomized episodes — varying material properties, load profiles, and body geometries. By the time a policy ships, it has already encountered the edge cases. Failure modes are discovered in simulation, not in the field.
Full Deployment Pipeline
From 3D-printable hardware design to trained policy to live fleet — AEDT manages the complete lifecycle. Design → Export → Twin → Train → Validate → Deploy, with fleet monitoring and over-the-air policy updates built in.
Embodied Intelligence Applications
From robotics to prosthetics—understanding environments, not just moving through them.
Industrial & Field Robotics
When joints wear, payloads shift, and operating conditions change — most controllers fail silently. AEDT trains policies against physics that degrades, so your robots maintain performance across the full operational lifespan, not just day one.
Prosthetics & Assistive Wearables
The human body is not a fixed system. Muscle fatigue, tissue compliance, and neural signals change the required assist force minute by minute. AEDT models this variability in simulation so prosthetic and exosuit policies are calibrated to the user's actual physiology — before the device is worn.
Companion & Service Robots
Safe contact with humans requires knowing how materials behave under unexpected loads — not just in clean lab conditions. AEDT's compliance-aware physics engine lets you validate safe-force envelopes and collision responses in simulation across thousands of body types and interaction scenarios.
Adaptive Soft Systems
Soft robots, compliant grippers, and bio-hybrid actuators don't behave like rigid bodies. AEDT's state-dependent material model handles nonlinear compliance, hysteresis, and fatigue — the properties that make soft systems hard to simulate and harder to control.
Shape the Future of Embodied Intelligence
Join our early access program and be among the first to build with the universal world model.
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