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Zhi Yuan Robotics Partners with CUHK to Establish Embodied Intelligence Joint Platform, Offering Internship Positions
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Zhi Yuan Robotics held a strategic cooperation launch ceremony with CUHK today (31st), announcing the establishment of an embodied intelligence industry-academia-research joint platform. The two parties will engage in in-depth cooperation on the frontier research and development of embodied general models and talent cultivation, aiming to further strengthen Hong Kong's scientific research and transformation capabilities in the field of embodied intelligence. According to the cooperation arrangement, Zhi Yuan Robotics will provide dedicated R&D funding, robotic hardware platforms, high-quality data resources, and diverse application scenarios support. The Chinese University of Hong Kong will leverage its academic strengths in artificial intelligence to organize a top-notch research team to collaborate with Zhi Yuan Robotics' research and engineering teams for collaborative innovation. The two parties will work together to promote the deep integration of frontier research and engineering practice, accelerating the exploration of embodied intelligence technology in broader scenarios. The parties also plan to establish a regular high-level talent joint training mechanism. Zhi Yuan stated that it will maximize the opening of internship positions in the initial phase of cooperation and support CUHK students and young scholars in research topics related to embodied intelligence. This will provide Hong Kong's young scientific research talents with more opportunities to engage with industry frontiers and engineering practice, reserving high-quality practical talents for the local innovation and technology development in Hong Kong. (ha/j) Auto-translated by third-party software This translation was auto-generated by third-party software. AASTOCKS.com Limited does not guarantee its accuracy or completeness and accepts no liability for any damages or losses arising from the use of this translation. More Details
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