Humanoid Robot
Overview
A humanoid robot is a robot designed with an appearance and movements similar to humans, intended to walk on two legs, perform tasks with two arms, and interact with humans. This technology, driven by advances in artificial intelligence (AI), sensor technology, and actuators, is expanding its use across various domains including industrial sites, healthcare, education, service, and home environments. Humanoid robots aim to replace or assist human tasks by adapting to human environments. Recently, combined with large language models (LLMs), they have become capable of intelligent communication, drawing attention as a next-generation core technology.
Main Content
History and Development
The concept of humanoid robots appeared in early 20th-century science fiction literature, but actual development began in the 1970s with WABOT-1 at Waseda University in Japan. Subsequently, iconic models such as Honda's ASIMO and Boston Dynamics' Atlas emerged in the 2000s. Early efforts focused on simple walking and basic movements, but after the 2010s, advances in AI and deep learning significantly improved perception, decision-making, and interaction capabilities. In the 2020s, various models aimed at commercialization, such as Tesla's Optimus, Figure AI's Figure 01, and 1X Technologies' NEO, have accelerated competition.
Core Technical Components
Humanoid robots are broadly composed of mechanical structure, actuation systems, sensors, control algorithms, and AI software. The mechanical structure requires a high degree of freedom design that mimics the human skeleton and joints, while actuation systems use a mix of electric motors, hydraulics, and pneumatics. Sensors such as LiDAR, cameras, IMUs (inertial measurement units), and force/torque sensors handle environmental perception and balance maintenance. Control algorithms utilize model predictive control (MPC) and reinforcement learning (RL) to enable stable walking and task execution. AI software integrates computer vision, natural language processing, and behavior planning to enhance autonomy.
Major Application Fields
- Industrial Manufacturing: Automobile assembly, logistics transport, replacement in hazardous tasks. Example: Tesla Optimus undergoing part transport tests in factories.
- Healthcare and Rehabilitation: Surgical assistance, patient transport, rehabilitation training robots.
- Service and Hospitality: Hotel guidance, retail sales, customer service.
- Home and Caregiving: Cleaning, cooking assistance, elderly/child care.
- Education and Research: Robotics education, human-robot interaction research.
- Military and Disaster Response: Mine clearance, firefighting, search in collapsed sites.
Challenges
- Cost: High prices of components such as high-performance actuators, sensors, and batteries hinder widespread adoption.
- Battery Life: Heavy robots require high-capacity batteries for extended operation.
- Safety: Soft robotics technology and control algorithms are needed to prevent injury during collisions with humans.
- Legal and Ethical Issues: Concerns over liability, privacy, and job displacement.
- Autonomy Limitations: Fully autonomous operation in complex, unstructured environments remains insufficient.
Latest Trends
The humanoid robot field in 2024–2025 is undergoing rapid change. First, integration of large language models (LLMs) is accelerating, enabling robots to understand natural language commands and generate context-appropriate actions. For example, Figure AI's Figure 01, equipped with OpenAI's GPT model, demonstrated picking up objects and explaining them based on voice commands. Second, commercialization competition is intensifying; Tesla announced plans to deploy Optimus in its own factories by 2025, and China's Unitree is lowering prices by selling its H1 model for $90,000. Third, collaboration and open-source ecosystems are thriving, with Boston Dynamics' Atlas transitioning to electric actuation and simulation platforms for robot learning (e.g., NVIDIA Isaac Sim) advancing. Fourth, regulatory discussions are gaining momentum, with the EU and US drafting safety standards and ethical guidelines for humanoid robots. Finally, development of dedicated chips and lightweight materials for humanoid robots is progressing actively, promising cost-performance improvements.
Related Topics
- [[Artificial Intelligence]]
- [[Robotics]]
- [[Autonomous Driving]]
- [[Industrial Robot]]
- [[Service Robot]]
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