端到端VLA模型

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前京东智能驾驶一号位创业,「星源智」要打造通用具身大脑丨36氪独家
36氪· 2025-09-11 23:46
Core Viewpoint - The article discusses the emergence of a new industrial revolution driven by AI, particularly focusing on the development of embodied intelligence and its potential to solve last-mile delivery challenges in logistics [5][10]. Group 1: Company Overview - Liu Dong, the founder of Xingyuan Intelligence, previously worked at JD Logistics, where he identified the last-mile delivery problem that existing automated solutions could not address [5][18]. - Xingyuan Intelligence recently completed a 200 million yuan angel round of financing, with investments from various venture capital and industry players [9][14]. - The company aims to develop a "general embodied brain" that can enhance the capabilities of robots in logistics and delivery [12][20]. Group 2: Technical Approach - The company has chosen a layered architecture for its embodied intelligence system, separating the "brain" responsible for perception and planning from the "small brain" that executes actions [12][22]. - Liu Dong believes that the current industry lacks a low-cost method to obtain real machine data, making pure end-to-end models impractical at this stage [11][23]. - The layered approach allows robots to start working and accumulate data, which can later be used to train more advanced models [23][24]. Group 3: Market Strategy - Xingyuan Intelligence operates a dual-track business model, acting as both a Tier 1 supplier providing integrated solutions to robot manufacturers and a contractor offering complete robotic solutions to end customers [14][30]. - The company focuses on specific scenarios such as picking robots for supermarkets and pharmacies, which are seen as the fastest to implement and generate revenue [36][42]. - The pricing strategy for their robotic solutions aims to keep costs low, making it attractive for clients to replace human labor with robots [38][39]. Group 4: Commercial Viability - The company has identified clear revenue growth paths and market opportunities, with expectations for picking robots to be operational by next year [45][46]. - Liu Dong emphasizes that the ability to implement solutions in real-world scenarios is crucial for the survival and success of the company [13][46]. - The company plans to leverage its technology to address various applications, including navigation and inspection, which can quickly lead to revenue generation [43][44].
融资超15亿元,国内“最强”90后具身智能机器人创始团队,发布最强端到端VLA模型!
Robot猎场备忘录· 2025-08-14 00:03
Core Viewpoint - The article discusses the launch of the VLA model G0 by the domestic robotics startup Xinghaitu, which has raised over 1.5 billion yuan and achieved a valuation of 1 billion USD, highlighting its innovative dual-system architecture for intelligent robotics [2][8]. Financing and Valuation - Xinghaitu has completed five rounds of Series A financing in 2025, raising over 1.5 billion yuan, with notable investments from Meituan and Ant Group [8][9]. - The company is reportedly seeking a new round of financing at a valuation of 1 billion USD [9]. Product and Technology - The G0 model features a dual-system architecture that separates high-level thinking and low-level actions, enhancing the robot's ability to execute complex tasks [4][6]. - The G0 model utilizes 500 hours of high-consistency full-body motion data and a three-stage learning strategy to achieve long-range task execution from visual and language commands [2][4]. - The G0-VLM (visual language model) operates at a frequency of 2 Hz for task instruction output, while the G0-VLA (visual-language-action model) executes actions at 15 Hz and motion at 200 Hz [4]. Competitive Landscape - The dual-system architecture is becoming mainstream in the field of embodied intelligence, with other companies like Zhiyuan and Figure AI also developing similar models [7][8]. - Xinghaitu's G0 model has reportedly outperformed the π0 model from Physical Intelligence in various performance metrics [7]. Founding Team and Company Background - Xinghaitu was founded by a team with strong backgrounds in autonomous driving and academia, including professors from Tsinghua University [10][11]. - The company focuses on developing a comprehensive ecosystem for embodied intelligence, including both hardware and software solutions [10][22]. Market Position and Applications - The company's products are primarily targeted at research scenarios, serving clients such as laboratories and universities for technology research and data collection [20]. - Xinghaitu's robots have been delivered to over a hundred top developers globally, establishing it as a leading platform for embodied intelligence model training [19].