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人形机器人行业观点报告:1X机器人工业版筑基,家庭版持续迭代,关注1X机器人产业链-20250703
Shanghai Securities· 2025-07-03 09:52
Investment Rating - The report maintains an "Accumulate" rating for the humanoid robot industry [1] Core Insights - 1X has been continuously expanding its presence in the robotics field since its inception in 2014, initially as Halodi Robotics in Norway [1] - The company has developed significant products such as the EVE robot for logistics and the NEO series for home use, showcasing advancements in both industrial and domestic applications [1][2] - 1X has secured substantial funding, including a $23.5 million Series A2 round led by OpenAI's startup fund [1] - The introduction of the NEO Beta and NEO Gamma robots highlights the company's focus on creating humanoid robots that can perform household tasks and interact with users [1][2] - Collaborations with tech giants like OpenAI and NVIDIA have strengthened 1X's technological capabilities and reduced training costs for their robots [6][7] Summary by Sections Company Development - 1X has launched several key products, including the EVE robot for logistics and the NEO series for home use, with the NEO Beta prototype released in August 2024 and the NEO Gamma in February 2024 [1][2] - The EVE robot features specifications such as a height of 1.86 meters, weight of 86 kg, speed of 14.4 km/h, and a load capacity of 15 kg, making it suitable for various tasks in logistics [2] Technological Advancements - The NEO robots utilize a bionic structure and elastic drive systems to mimic human muscle and tendon movements, enhancing safety and fluidity in motion [2][5] - 1X has focused on high-torque, low-speed motor technology to ensure the safety of household robots, making them suitable for home environments [8] Strategic Partnerships - 1X's partnership with OpenAI has integrated AI into their robotics, laying the groundwork for embodied learning [6] - Collaboration with NVIDIA has provided access to advanced simulation platforms and training resources, significantly improving the efficiency of robot training [7]