面向机器人的算力模组
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中科创达(300496.SZ):发布面向机器人的算力模组,构建起从12TOPS至80TOPS全覆盖的算力平台
Ge Long Hui· 2025-10-15 07:15
Core Viewpoint - The company has experienced rapid development in its mobile robot product series, focusing on autonomous robots, unmanned forklifts, and inspection robots [1] Group 1: Product Development - The company has developed self-research technologies and products ranging from hardware control modules to motion control, autonomous navigation, perception recognition, and cluster scheduling [1] - The integration of edge AI technology and multi-modal perception fusion recognition technology enables precise positioning and mixed navigation, allowing stable operation in complex environments [1] Group 2: Technological Advancements - The company has released a computing module for robots, establishing a comprehensive computing platform that covers from 12 TOPS to 80 TOPS [1] - This computing platform strengthens the hardware foundation for more efficient edge AI computing in Autonomous Mobile Robots (AMR), significantly enhancing the intelligence level of AMR [1]
中科创达:公司发布了面向机器人的算力模组, 构建起从12TOPS至 80TOPS全覆盖的算力平台
Mei Ri Jing Ji Xin Wen· 2025-10-15 03:57
Core Viewpoint - The company Zhongke Chuangda (300496.SZ) has experienced rapid development in its mobile robot product series, including autonomous mobile robots (AMRs), unmanned forklifts, and inspection robots, showcasing its advanced technology and capabilities [1] Group 1: Product Development - The company has developed self-research technologies and products ranging from hardware control modules to motion control, autonomous navigation, perception recognition, and cluster scheduling [1] - The integration of edge AI technology and multi-modal perception fusion recognition technology enables the company to achieve precise positioning and mixed navigation, ensuring stable operation in complex environments [1] Group 2: Technological Advancements - The company has launched a computing module for robots, establishing a comprehensive computing platform that covers from 12 TOPS to 80 TOPS, which strengthens the hardware foundation for more efficient edge AI computing in AMRs [1] - This advancement significantly enhances the intelligence level of AMRs, allowing for improved handling of complex tasks [1]