Fan Tingxiang of Liangyuan Xinsheng Addresses Hardware Challenges in Embodied Intelligence
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The 2026 Sustainable Global Leaders Conference took place in Shanghai from October 20 to 22, where Fan Tingxiang, co-founder of Liangyuan Xinsheng, discussed the deployment barriers of embodied intelligence. He emphasized that the company aims to transition general intelligence from virtual to physical realms, identifying two main thresholds: hardware and algorithmic.
Fan highlighted that advancements in hardware are being driven by capital investments, leading to lower costs and improved reliability. Observations from humanoid robot competitions indicate significant progress in motion control capabilities, suggesting that robots are now surpassing human abilities in hardware. However, he noted that algorithmic flexibility remains a challenge, particularly in adapting to diverse environments, which is critical for widespread adoption in homes.
Looking ahead, Fan expressed the need for collaboration within the industry to enhance model generalization and facilitate the integration of humanoid robots into various scenarios. He pointed out that while open-sourced models can reduce deployment barriers, achieving true generalization requires real-world data and iterative development, emphasizing the importance of building an ecosystem for broader application.
Original report
Liangyuan Xinsheng's Fan Tingxiang Discusses Overcoming Hardware Barriers in Embodied Intelligence
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