According to the news from Smart Emergence, in October 2025, Zhu Senhua, the head of Huawei Cloud's embodied robot project, announced his resignation and founded a company called "Jinao Panshi," dedicated to using brain cognition technology to improve the "brain" of robots. This move has attracted widespread attention in the fields of artificial intelligence and robotics.

Zhu Senhua is a postdoctoral researcher in neuroscience. He previously served as the director of the AI Algorithm Innovation Lab at Huawei Cloud and led the pioneering work of Huawei Cloud's intelligent robot business. His team successfully developed Huawei Cloud's first embodied large model, becoming an important innovator in the field of embodied intelligence in China. Zhu Senhua stated in an interview that the timing for starting his own business was "perfectly ready." He hopes that through "Jinao Panshi," human brain cognitive neural mechanisms can be introduced to improve the algorithm architecture of embodied intelligence, thereby achieving more efficient intelligent systems.

Robot interacting with humans, artificial intelligence, AI

Two months after its establishment, "Jinao Panshi" has successfully built a core team, with members coming from companies such as Huawei, Lenovo, and Megvii, all possessing over ten years of experience in AI and robot R&D. In addition, the company has recently completed a seed round financing of millions of yuan, with investors including Leju Robots, Shanghai Daohe, and Sichuan Science and Technology Investment.

Zhu Senhua mentioned that current embodied intelligence technology mainly relies on deep learning models, but this approach has limitations in terms of data requirements and computational power. He aims to use brain-inspired algorithm frameworks to reduce dependency on data and computing power, enhancing the generalization ability of intelligent machines. He pointed out that the human brain is the most powerful embodied intelligent system, and drawing inspiration from its working mechanism is undoubtedly a crucial direction for future technological development.

As embodied intelligence is increasingly applied across various industries, Zhu Senhua believes that the main challenge for companies lies in how to get customers to pay for yet-to-be-fully-matured robot technology. He used Japan's convenience stores as an example, pointing out that in the context of labor shortages, embodied robots can take on basic tasks such as night shift guarding, meeting market demands.

Zhu Senhua's startup plan has already reached cooperation agreements with several listed companies in China, with the initial focus on commercial services and industrial scenarios in the Asia-Pacific region. Over the next 3 to 5 years, he expects to complete the update of deep learning algorithms and further advance the development of embodied intelligence technology.