ROBAN 2 D
鲁班 2 进阶版D
Product Overview
## Embodied Intelligence Teaching & Development Platform A development platform designed specifically for talent cultivation in the era of embodied intelligence. It integrates demonstration, teaching, and scientific research, and is compatible with vocational education, undergraduate, and postgraduate training systems. --- ### Full-Scope Environmental Perception — More Accurate Understanding * LiDAR + depth cameras (advanced version) for enhanced environmental sensing * Improved accuracy in perception and path planning --- ### High-Dynamic Motion Control — More Human-like Movement * 20–45 degrees of freedom * Impact-resistant structural design for durability and reliability * Supports high-dynamic motions such as slope climbing, balance walking, and waist rotation --- ### Model-Driven + Reinforcement Learning Dual Control Architecture * Compatible with OpenAI Gym and Stable Baselines3 frameworks * Supports model-based control and reinforcement learning * Enables algorithm development for walking, balance, navigation, and manipulation tasks --- ### Dual-Computing Architecture — Supports Complex Tasks * Provides real-time computing power for perception, reasoning, and planning * Meets high-performance requirements for teaching and research * Enables multimodal fusion and autonomous decision-making --- ### Large Model–Driven Immersive Embodied Experience * Integrates multimodal large models for coordinated speech, vision, and action understanding * Equipped with wireless microphones for stable long-range audio capture * Adaptable to diverse embodied intelligence teaching and application scenarios --- ### Zero-Barrier, Ready-to-Use System * Handheld controller for immediate operation and easy onboarding * Preloaded initialization behaviors for instant demonstration upon startup --- ### Multi-Programming Support — From Beginner to Advanced * Supports graphical programming and Python development * Enables a smooth progression from entry-level to advanced robotics programming --- ### Multiple Simulation Environments — Efficient Algorithm Validation * Supports Isaac Gym, MuJoCo, and other simulation platforms * Enables development and validation of reinforcement learning, model control, navigation, obstacle avoidance, and manipulation algorithms --- ### Ten Years of Educational Experience — Comprehensive Teaching Support * Covers full curriculum system from vocational education to postgraduate level * Deeply aligned with embodied intelligence talent training programs * Provides complete teaching resources: textbooks, courseware, experiment cases, and teacher training --- ### Curriculum Core Directions * Covers fundamental capabilities such as motion control and perception * Focuses on real-world application scenarios * Trains robots to achieve: **“hear clearly, understand deeply, act precisely”** --- ### Research & Competition Integration * One platform supports both research and competitions * Hot-swappable battery system for continuous operation * Supports battery replacement while standing without power-off * Ensures uninterrupted teaching, demonstration, and development workflows