ANIGON Technical Overview ========================= Embodied Intelligence for the Real World ANIGON is an integrated platform for embodied foundation models, data technology, robotic hardware, and industry deployment. This document provides a high-level overview of the platform architecture and key capabilities. ================================================================================ PLATFORM OVERVIEW ================================================================================ ANIGON delivers end-to-end embodied intelligence through an integrated technology stack: - Embodied foundation models for manipulation and world understanding - Task-relevant data technology for efficient adaptation - Wheeled humanoid robot platform for real-world deployment - Edge computing architecture for real-time inference - Safety control separation for enterprise compliance - Deployment services and lifecycle support ================================================================================ FOUNDATION MODELS ================================================================================ FAM (Few-Shot Manipulation Foundation Model) --------------------------------------------- An end-to-end foundation model for embodied manipulation that adapts to new tasks with significantly reduced demonstration requirements. FAM preserves spatial structure through two-dimensional and three-dimensional heatmap representations, aligning vision, language, and action at the spatial level. Key capabilities: - Spatial heatmap representations for interpretable manipulation cues - Few-shot adaptation to new tasks and environments - Cross-platform compatibility with FAM-compatible robot configurations VLTA (Vision-Language-Tactile-Action) -------------------------------------- A multimodal architecture that treats contact as a first-class signal for precision manipulation. VLTA fuses visual context, tactile pressure, and force feedback for contact-rich tasks under partial visual occlusion. Key capabilities: - Contact event detection: slip, collision, jamming, stable grasp, release - Real-time policy correction during manipulation - Improved precision under visual ambiguity BridgeV2W (World Model for Predictive Control) ---------------------------------------------- A predictive interface that visualizes likely outcomes before the robot commits to execution. BridgeV2W converts robot configuration, trajectories, and spatial coordinates into pixel-level dynamic masks for action-conditioned visual prediction. Key capabilities: - Candidate action comparison and risk evaluation - Collision and task-risk assessment before execution - Transparent decision support for operators ================================================================================ DATA TECHNOLOGY ================================================================================ Robot-Centric Visual Flow -------------------------- Extracts task-relevant hand, object, motion, and occlusion relationships from human operation videos to accelerate policy training. Task-Centric 3D Virtual View for VLA ------------------------------------- Synthesizes task-relevant virtual camera views from multiple visual inputs, reducing viewpoint dependency without requiring explicit 3D rendering. Cross-View Data Augmentation ----------------------------- Expands demonstrations across viewpoints through motion retargeting and generative video completion, reducing the need for multi-camera data collection. Embodied Visual Information Enhancement --------------------------------------- Detects uncertainty and preserves task-relevant visual evidence over long-horizon tasks through active attention and sensory fusion. ================================================================================ ROBOT PLATFORM ================================================================================ ANIGON FA-L Series ------------------ A wheeled humanoid platform designed for real-world industrial work. Key specifications: - Full-body degrees of freedom: 28 DoF - Force-controlled dual arms with dexterous hands - Mobile base with navigation capability - Integrated RGB-D cameras and tactile sensors - Edge compute controller for local inference - Dual hot-swap batteries for continuous operation (24/7 capability) - Enterprise integration interfaces (ERP, MES, WMS) ================================================================================ HUMAN-IN-THE-LOOP LEARNING ================================================================================ The platform supports continual learning from human demonstrations, interventions, and recovery data: 1. Human Demonstration - Task-relevant motion captured through teleoperation 2. Imitation Learning - Initial policy training from demonstration data 3. Autonomous Execution - Policy deployment with safety monitoring 4. Human Intervention - Operator correction when execution deviates 5. Error Recovery - Recovery strategies from failure conditions 6. Reinforcement Learning - Outcome-based policy improvement 7. Continual Improvement - Iterative refinement through accumulated experience ================================================================================ COMPLIANCE AND DEPLOYMENT ================================================================================ Safety Architecture ------------------- Safety control is separated from model inference. A dedicated safety control layer applies validated limits, site rules, and emergency behavior before commands reach actuators. Enterprise Integration ---------------------- Open interfaces for ERP, MES, and WMS integration enable robots to receive tasks directly from existing operational processes. Data Sovereignty ---------------- Deployment, service, and supply capabilities are designed for European operations with configurable data policies and deployment boundaries. ================================================================================ DEPLOYMENT PROCESS ================================================================================ 1. Task Assessment - Define operational context, success criteria, and constraints 2. Data Collection - Gather human demonstrations and task-relevant data 3. Model Adaptation - Train and validate task-specific policy 4. Robot Configuration - Integrate end-effectors, sensors, and safety parameters 5. System Integration - Connect to enterprise systems and workflows 6. Pilot Deployment - Validate performance under supervision 7. Production Operation - Scale with monitoring and support 8. Continuous Optimization - Iterate based on operational feedback ================================================================================ CONTACT ================================================================================ Business Inquiries: business@anigon.net Media Contact: media@anigon.net Privacy Inquiries: privacy@anigon.net Careers: careers@anigon.net Website: https://www.anigon.net ================================================================================ This overview is for informational purposes. Product specifications, performance metrics, and deployment capabilities are subject to configuration, validation, and applicable terms. Contact ANIGON for detailed technical documentation and deployment planning. © 2026 Anigon Humanoid Robotics. All rights reserved.