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v1.0.0 — Optimus Perceptron: Humanoid AI Robot Simulation Suite

17 Feb 03:26
@romizone romizone
v1.0.0
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v1.0.0 — Optimus Perceptron: Humanoid AI Robot Simulation Suite Latest
Latest

🤖 Optimus Perceptron v1.0.0 — Initial Release

Humanoid AI Robot Simulation Suite with 7-Layer Cognitive Architecture

A complete autonomous humanoid robot simulation platform running in pure HTML5 Canvas + JavaScript with zero external dependencies.

⚡ Highlights

Metric Value
Integrated Tabs 9
Cognitive Layers 7
Dependencies 0
Frame Rate 60 fps
Lines of Code 6,393
Total Size < 384 KB

🏙️ What's Included

Tab 1 — City Navigation

Dense urban simulation (3,200 × 2,400 units) with 58 entities: humans, children, robots, vehicles. Autonomous sidewalk navigation with traffic signal compliance (green/yellow/red), building collision avoidance, and dynamic obstacle detection.

Tab 2 — Park Walking

Cinematic natural environment (2,800 × 2,000 units) with rich flora — roses, jasmine, orchids, lily pads, fireflies. Perimeter fence with 4 navigable gates and enhanced child safety protocols.

Tab 3 — Technology Configuration

Real-time sensor tuning panel — FOV range, angle, speed, detection thresholds. Interactive 7-layer cognitive architecture visualization with full robot body SVG and multi-modal vision panels.

Tab 4 — Battery Health

5.2 kWh Li-ion battery simulation with 8 charging stations. Intelligent station selection algorithm (distance 40%, speed 35%, availability 25%). Animated ring gauge visualization with charging event log.

Tab 5 — Todo List

7-day weekly task planner with 5 categories (Work, Leisure, Maintenance, Social, Learning). Energy-aware stochastic auto-execution engine with progressive completion tracking.

Tab 6 — Damage & Repair

13-component health monitoring system (cameras, LiDAR, CPU/NPU, actuators, joints, sensors). Stochastic degradation model with autonomous nano-repair system (0.01-0.03%/tick self-healing). 3D robot body map with spare parts inventory.

Tab 7 — Padel AI Doubles (2v2)

Full doubles padel match on 20m × 10m enclosed court. 4 robot players: OPTIMUS (4.2 m/s), NEXUS-4 (4.0 m/s), ATLAS-X9 (3.8 m/s), VOLT-12 (3.6 m/s). 10 shot types with realistic ball physics (gravity, wall bounces, air resistance). Official padel scoring system.

Tab 8 — Academic Paper

Complete 12-section research paper with system architecture diagrams, 9 data tables, mathematical models, and 15 academic references. Covers perception (ViT-L/14, DETR, LiDAR 128ch), navigation, energy management, task planning, self-repair, and padel athletics.

Tab 9 — AI Architecture

Interactive 7-layer cognitive stack visualization (Motor Control 1kHz → Perception 30Hz → Sensor Fusion 100Hz → World Model 10Hz → Task Planner 2Hz → RL Policy 50Hz → Episodic Memory 0.1Hz). Multi-modal vision panels (RGB, Depth, Semantic, LiDAR) and 3D LiDAR point cloud rendering.

🧠 7-Layer Cognitive Architecture

Layer 7  │  Episodic Memory       │  0.1 Hz  │  Experience Store
Layer 6  │  RL Policy Engine      │  50 Hz   │  PPO + SAC Hybrid
Layer 5  │  Task Planner          │  2 Hz    │  LLaMA-3 8B + PDDL
Layer 4  │  World Model           │  10 Hz   │  Dreamer-v3 + Voxel
Layer 3  │  Sensor Fusion         │  100 Hz  │  Extended Kalman Filter
Layer 2  │  Object Detection      │  30 Hz   │  DETR Transformer
Layer 1  │  Motor Control         │  1 kHz   │  PD Controller 28-DOF

🛠️ Tech Stack

  • Language: Vanilla JavaScript (ES6+)
  • Rendering: HTML5 Canvas 2D Context
  • Architecture: Single-file, zero external dependencies
  • Typography: Inter + JetBrains Mono
  • Layout: CSS Grid + Flexbox, full mobile responsive
  • Hosting: Vercel (static)
  • Frameworks: None
  • Build Tools: None
  • npm Packages: None

🔗 Links

Zero install. Zero config. Zero dependencies. Just open the HTML file.

Assets 2
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