3 6 Ke·2025-08-11 11:29Core Insights - The 2025 World Artificial Intelligence Conference (WAIC) showcased over 150 humanoid robots, marking the largest collective exhibition of humanoid robots in China to date, with a focus on their operational capabilities in real-world scenarios [2] - Goldman Sachs predicts the global humanoid robot market could reach $154 billion by 2035, with a more optimistic estimate of $205 billion, while Morgan Stanley estimates China's robot market will grow to $470 billion in 2024, accounting for 40% of the global market [3] - The humanoid robot sector is experiencing significant interest from automotive companies, with 15 domestic car manufacturers and several international firms entering the humanoid robot space, indicating a growing trend in the industry [7] Industry Trends - The humanoid robot market is expected to grow rapidly, with China's market projected to reach $1,080 billion by 2028, reflecting a compound annual growth rate of 23% [3] - The report from CITIC Think Tank highlights the evolution of robot training methods towards end-to-end models, but notes challenges such as limited generalization capabilities and high supply chain costs that hinder large-scale commercialization [3][8] - The humanoid robot design is favored for its adaptability to human environments, task versatility, and lower psychological barriers in human-robot interaction [4][6] Company Developments - Tesla's humanoid robot, Optimus, is designed with a human-like structure and aims for mass production, planning to produce thousands of units by 2025 and scale up to 50,000-100,000 units by 2026 [5] - Domestic humanoid robot startups like Yushu Technology and Zhiyuan Robot are gaining attention, with valuations exceeding 120 billion yuan and forming a competitive landscape with multiple tiers of companies [7] Challenges in Commercialization - The humanoid robot industry faces significant hurdles for large-scale commercialization, including limited generalization capabilities of the robot's "brain," which restricts application scenarios [9][12] - Data acquisition for training humanoid robots is challenging, as they require extensive interaction data from real-world environments, which is currently scarce [12] - Issues such as structural design optimization, battery life, and high supply chain costs remain critical barriers to the widespread adoption of humanoid robots [13]