天大博士团队破局全向空间通用机器人感知技术，「环视智能」一年完成两轮融资｜早起看早期

Core Viewpoint - Chengdu Huanshi Intelligent Technology Co., Ltd. has successfully completed a new round of financing, focusing on the field of robot perception and aiming to accelerate the mass production of low-cost general-purpose robots [4][5]. Group 1: Company Overview - Huanshi Intelligent, established in April 2024, specializes in embodied intelligent vision and AI hardware-software integrated solutions [4]. - The core team consists of members from Tianjin University, with a strong background in research and market experience, including the founder who has led key technology developments in the robotics and military sectors [5]. Group 2: Product and Technology - The company has developed a 10 cm diameter omnidirectional 3D vision perception module that addresses perception blind spots in low-texture scenarios, utilizing four 200° wide-angle cameras for an 800° field of view [5][6]. - The module features a unique "multi-eye fusion + hardware acceleration" architecture, enabling global 3D information output and semantic understanding with a latency of under 30 milliseconds and power consumption below 5W [6]. Group 3: Market Position and Competitive Advantage - Huanshi Intelligent's solution is positioned to meet the industry's demand for low-cost, low-computational power perception systems, with expected production costs between 1,000 to 2,000 yuan, significantly lower than traditional solutions [7]. - The company has already secured small batch orders from enterprises and universities, with revenue contributions from various applications, including 35% from drone navigation and 35% from academic projects [7]. Group 4: Future Plans - The company plans to continue product mass production and market expansion, focusing on optimizing extreme scenario adaptability and cost control [8]. - Huanshi Intelligent aims to build a universal visual computing platform to facilitate self-learning evolution and create a comprehensive business model that integrates modules, platforms, and ecosystems [8].