Embodied robots are intelligent robots equipped with physical bodies and powered by embodied intelligence technology. Unlike purely virtual artificial intelligence, they can perform perception, decision-making and interactive tasks directly in the real physical environment, representing a core development direction in the field of intelligent robotics.
Their overall architecture consists of three core modules that complement each other to form a complete closed loop for intelligent operation. The hardware body serves as the foundational carrier, including actuators such as mobile bases, robotic arms and dexterous hands to meet motion and manipulation requirements across diverse scenarios. The perception system relies on cameras, LiDAR, tactile sensors and other devices to collect environmental and physical data in real time. The intelligent brain, centered on multimodal large models and motion control algorithms, interprets commands, plans paths, decomposes tasks and dynamically adjusts motions.
Based on morphology and application scenarios, embodied robots fall into three main categories. Humanoid robots feature a bipedal, bimanual human-like structure, adapted for human-centric environments such as homes, offices and factories to conduct delicate work including housekeeping and assembly. Quadruped robots boast strong terrain adaptability, capable of negotiating rugged terrain like mountains and construction sites, and are widely deployed for security inspection and environmental surveying. Mobile manipulator robots integrate mobile bases and mechanical manipulation structures, focusing on precision operations for industrial manufacturing, laboratory work and other scenarios.
Compared with traditional industrial robots, embodied robots demonstrate remarkable core strengths. First, they feature powerful environmental generalization: they do not require fixed programming and can adapt to open, variable operating environments. Second, they support natural language interaction and can autonomously break down complex tasks with higher intelligence. Third, they possess physical interactive learning capacity, optimizing motions through real-time interaction with surroundings. With capabilities such as compliant manipulation and autonomous obstacle avoidance, their fault tolerance and practicality are greatly enhanced.
