Research
Physical Robotics Vision
CHO as the brain for humanoid robots
Abstract
CHO was designed with physical embodiment in mind. The architecture's biomimetic foundations—holographic memory, thalamic gating, neuroplastic learning—map directly onto requirements of real-world robotic systems: humanoid robots, autonomous vehicles, industrial manipulators.
Synthetic Nervous System
Visual Cortex
Camera feeds, object recognition, scene understanding.
Sensor Fusion
LIDAR, IMU, touch integration through thalamic filtering.
Motor Control
Neuroplastic weight maps for movement optimization.
Cognitive Core
Full CHO architecture on-device.
Reflex Arcs
Fast-path responses for safety-critical actions.
Embodied Learning
Physical interaction feedback strengthens correlations.
Architecture Mapping
| CHO Component | Biological | Robot Function |
|---|---|---|
| Holographic Memory | Hippocampus | Spatial mapping |
| Thalamic Gating | Thalamus | Sensor priority |
| Neuroplastic Weights | Basal Ganglia | Motor learning |
| Multi-Canvas | Prefrontal | Planning |
| Sleep Cycle | NREM/REM | Optimization |
Target Platforms
Humanoid Robots
Full-body bipedal systems. Cognitive planning, natural language, adaptive learning.
Robotic Manipulators
Industrial arms. Skill acquisition from demonstrations with real-time adaptation.
Autonomous Vehicles
Holographic memory for route learning. Thalamic gating for sensor fusion.
Research Roadmap
| Phase | Focus | Status |
|---|---|---|
| 1 | Software Agents | Active |
| 2 | Simulation Integration | Planned |
| 3 | ROS 2 Bridge | Research |
| 4 | Humanoid Deployment | Vision |