获3.5亿美元投资，谷歌押注的人形机器人进厂造奔驰

Core Viewpoint - The article discusses the evolution and commercialization of humanoid robots, particularly focusing on Apptronik and its Apollo robot, highlighting the challenges and opportunities in the humanoid robotics industry [1][4][26]. Group 1: Development of Valkyrie - Valkyrie, developed by NASA for the DARPA Robotics Challenge, aimed to address disaster response but faced significant operational issues during the competition [2][4]. - Despite its initial failures, Valkyrie influenced the humanoid robotics field, leading to the establishment of startups by team members involved in its development [4] Group 2: Apptronik's Formation and Growth - Apptronik was founded by a team from the University of Texas at Austin, including Luis Sentis, Nick Paine, and Jeff Cardenas, who aimed to create humanoid robots capable of performing various tasks [8][9]. - Initially, Apptronik focused on government contracts, particularly with NASA, to fund its development before seeking external financing in 2022 [10][11]. Group 3: Apollo Robot Launch - In August 2023, Apptronik launched the Apollo humanoid robot, designed for industrial applications to address labor shortages and improve efficiency [14][15]. - Apollo features advanced hardware capabilities, including 32 actuators and modular design, allowing it to perform various tasks safely alongside humans [14][15]. Group 4: Commercialization and Partnerships - Apptronik aims to commercialize Apollo by 2025, with a target price below $50,000, and has begun partnerships with major industrial players like Mercedes-Benz [15][26]. - The company has accelerated its commercialization efforts, seeking to deploy Apollo in various factories to demonstrate its practical applications [24][25]. Group 5: Industry Trends and Future Directions - The humanoid robotics industry is evolving, with companies exploring collaborations with AI firms to enhance robot capabilities [20][21]. - Apptronik is pursuing partnerships with NVIDIA and Google to integrate advanced AI models into its robots, while other firms are considering in-house AI development [20][22]. - The industry faces challenges in generating training data for robots, with industrial environments being a primary focus for data collection [24].