Platform Capabilities // SYS_REV_4.12

Core Technology Modules

Engineered for extreme biomechanical fidelity. ProxiHuman pairs real-time synthetic parametric avatar generators with sub-millimeter perception pipelines to power zero-latency autonomous teleoperation and spatial neural models.

TENSORRT ACCELERATED ISO 10218-1 KINEMATICS
Deterministic Synthetic Kinematics Stack Hardware-agnostic pipeline streaming to Unreal Engine 5.4, NVIDIA Omniverse, and custom ROS 2 nodes
Spatial Resolution
0.12 mm / joint
Loop Frequency
240 Hz Native
MOD_01 // BIO-RIG 54 DoF SOLVER ACTIVE

3D Human Biomechanical Avatars

Parametric anthropometric skeleton instances calculated dynamically. Equipped with physics-accurate skeletal joints, muscle mass volume preservation, and inverse-kinematics constraints for precise teleoperator simulation.

Core Capabilities
  • Parametric 54-DoF full-body skeletal rigs
  • Automated dual-quaternion mesh skinning
  • Continuous closed-loop Jacobian IK solver
Export Protocols
OpenUSDURDFMetaHuman DNAglTF 2.0
MOD_02 // SPATIAL-VIS SUB-MM RECONSTRUCTION

Spatial Vision & Annotation Engine

Automated synthetic ground truth generation. Yields pixel-perfect bounding vectors, per-instance depth buffers, and optical flow vectors across asynchronous multi-camera rigs with zero human annotator intervention.

Core Capabilities
  • Calibrated 2D/3D bounding boxes with exact depth
  • Point cloud multi-class semantic segmentation
  • Stereo & epipolar multi-view disparity maps
Telemetry Precision
Ground Truth Error:< 0.28mm RMSE
MOD_03 // VLM-GROUND SPATIAL ATTENTION ACTIVE

Vision-Language Model (VLM) Grounding

Connects multimodal transformers to physical work volumes. Translates dynamic spatial scenes into discretized language tokens, enabling situational awareness, safety envelope reasoning, and proactive operator guidance.

Core Capabilities
  • Spatial tokenization across Cartesian coordinate cells
  • Natural language dynamic collision hazard alerts
  • Predictive human operator action intent modeling
Model Compatibility
Llama-VisionPaliGemmaCLIP-Spatial
Engineering Blueprint

Architecture & Integration Specs

TARGET RUNTIME: CUDA 12.4+ / UBUNTU 22.04 LTS
Inference Latency
<4.2ms
TensorRT FP16 Execution
Pose Accuracy
99.7%
Mean Average Precision (mAP)
Spatial Frame
6-DoF XYZ/RPY
Right-handed ISO Metric

Full compliance with ISO 9787 coordinate definitions for industrial telemanipulation.

Infrastructure
Air-Gapped
Docker / On-Premise Core

Zero telemetry leakage. Operates fully isolated on edge clusters and high-assurance networks.

Comprehensive Runtime Matrix SPECS REV 2025.2
Supported Hardware NVIDIA RTX / Orin

Validated on RTX 4090, A6000 Ada, and Jetson AGX Orin 64GB edge units.

Inter-Process Bus Zero-Copy Shared Memory

Direct IPC via POSIX shared memory and CycloneDDS for ROS 2 nodes under 0.8ms overhead.

Color Space & Ingestion Linear sRGB / HDR10

Multi-camera synchronized capture supporting GMSL2, USB3 Vision, and GigE protocols.

Calibration Tolerance Auto-Epipolar Sync

Continuous online extrinsic parameter re-calibration compensates for thermal expansion.

Integration Sandbox/Developer Access

Deploy ProxiHuman Into Your Perception Stack

Access standalone Python bindings, C++ acceleration libraries, and calibrated 54-DoF test avatars ready for immediate Omniverse and Isaac Sim loading.