Core Viewpoint - The article highlights the recent completion of a multi-million angel round financing by "Xingcan Intelligent," a startup in the home smart robot sector, aimed at product development and mass production in the lawn mowing robot field [1]. Group 1: Company Overview - Xingcan Intelligent, established in 2025, focuses on the development of home smart robot products, leveraging autonomous driving and embodied intelligence technologies [1]. - The founding team includes Dr. Li Zhanbin, a veteran in the autonomous driving field with experience at major companies like Alibaba and Baidu, along with experts from notable firms such as Tencent and Huawei [1]. Group 2: Product Development - Xingcan Intelligent is the only company with accumulated technology in mapping, mainframe manufacturing, and autonomous driving domain control, actively expanding its global market presence [2]. - In the lawn mowing robot niche, the team has integrated advanced technologies like multi-modal perception and large models, achieving high-precision navigation with an accuracy of ±1 cm and enhanced obstacle detection capabilities [2]. Group 3: Product Features - The company has launched the Xingcan Power Engine board, designed as the core component for home service robots, significantly reducing its size by 30% compared to similar products, facilitating integration into smaller robots [4]. - The board is built with industrial-grade components, boasting a lifespan exceeding 50,000 hours, which lowers maintenance costs and replacement frequency [4][5]. - It features pre-integrated protocols for STM32 and Raspberry Pi, streamlining the development process and accelerating time-to-market for new products [5]. Group 4: Business Strategy - In its initial phase, Xingcan Intelligent plans to collaborate with traditional lawn mower manufacturers and domestic startups to leverage their market resources for rapid commercialization [5]. - The second phase will focus on expanding into broader markets, including smart wheelchairs, after refining relevant technologies and capitalizing on market demand [5].