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黑芝麻智能发布2025中报:全球营收增长40.4% 辅助驾驶出海与机器人双线告捷

Core Viewpoint - Black Sesame Technology reported a significant increase in revenue and successful advancements in both the autonomous driving and robotics sectors, laying a solid foundation for its global strategy [1][2]. Group 1: Financial Performance - The company achieved a revenue of 253 million yuan in the first half of the year, representing a year-on-year increase of 40.4% [1]. - The overseas targeted models and quantities reached a historical high, with deliveries to international markets set to commence in the second half of the year [1]. Group 2: Autonomous Driving Sector - Black Sesame Technology deepened collaborations with major clients such as Geely, BYD, Dongfeng, and FAW in the autonomous driving field [1]. - The A1000 series chips have been mass-produced in models like Geely Galaxy E8 and Dongfeng Yipai 007 [1]. - The C1200 series chip solutions have completed testing in multiple cities and are set for mass deployment in several new energy client projects [1]. Group 3: Robotics Sector - The company developed a motion control solution for robots based on the C1200 series chip and a perception computing solution for embodied intelligence based on the A2000 chip [1]. - Strategic partnerships with leading bipedal robot companies are underway to develop multimodal perception computing modules, targeting applications in humanoid robots, bipedal robots, and lawnmowers [1]. - The company is expanding its robotics scenarios through capital operations and is developing chip solutions for both domestic and international markets [1]. Group 4: Technological Innovation - Continuous technological innovation has established a core competitive advantage for the company [2]. - The use of BEV+E2E algorithms has significantly improved perception accuracy and generalization capabilities while reducing reliance on high-precision maps [2]. - The self-developed "Jiushao" NPU architecture and toolchain optimization support mixed training, enhancing AI computing efficiency and compatibility [2]. Group 5: Commercial Applications - The company's L4 unmanned logistics system has achieved low-speed autonomous driving in closed environments such as ports and parks, with ongoing shipments [2]. - Smart imaging solutions have expanded to new product forms like AI smart glasses, achieving commercial deployment with multiple clients [2]. Group 6: Future Strategy - The company is actively pursuing acquisitions of cost-effective, low-power AI chip enterprises to strengthen its edge in edge AI deployment [2]. - The goal is to become a leader in the edge AI chip sector and accelerate the mass production of high-performance chips, driving the globalization of autonomous driving and opening new chapters in the robotics industry [2].