SIASUN(SZ:300024) Shen Zhen Shang Bao·2025-10-11 05:41Core Viewpoint - The opening of Shenzhen Qianhai Ice and Snow World showcased the LUS2 robot, which achieved significant recognition for its rapid recovery capabilities, marking a breakthrough in humanoid robotics technology [1][2]. Group 1: LUS2 Robot Achievements - LUS2 performed a remarkable "1-second recovery" from a fall, outperforming competitors in speed and reliability, which is crucial for practical applications [2][3]. - The robot's design is based on a human scale of 1.6 meters in height and 557 kg in weight, necessitating advanced joint modules for effective control [2]. - LUS2's performance is supported by a high-capacity chip with 275 TOPS processing power, enabling it to make trillions of decisions per second for synchronized movements [3]. Group 2: Development and Team Background - The team behind LUS2 has a decade of experience in AI and robotics, with founder Yu Chao and core members coming from prestigious universities like Tsinghua and Fudan [4]. - Yu Chao's entrepreneurial journey began immediately after graduation, focusing on the commercialization of robotics technology [4]. Group 3: Technological Capabilities - LUS2's development emphasizes a dual focus on both hardware and software, ensuring robust performance and cost efficiency [5]. - The company has developed three product lines: LUS series (humanoid robots), MOS series (dual-arm robots with high load capacity), and NIX series (mini humanoid robots for home and commercial use) [7]. Group 4: Business Environment and Opportunities - The company operates in Shenzhen and Suzhou, with a strong supply chain in Bao'an, which hosts over 57,000 manufacturing enterprises, facilitating rapid product development [8]. - Bao'an aims to become a benchmark for open innovation, planning to launch over 100 new application scenarios annually, which supports the growth of hardware startups [9]. Group 5: Industry Insights - Professor Zhang Jin from Shenzhen University highlights the need for AI companies to connect with traditional manufacturing to bridge the existing knowledge gap regarding robotics technology [10]. - The government can play a crucial role in facilitating connections between technology firms and manufacturers, enhancing the potential for AI industrialization in the region [10].