Autonomous Driving Concept Stocks Watch | RoboSense (02498.HK) Edges Lower in Afternoon Session; MIIT and Eight Other Authorities Issue the 15th Five-Year Plan for Intelligent Connected New Energy Vehicles

NewTimeSpace News: On September 11, 2026, RoboSense (02498.HK) traded weaker in the afternoon session. As of 13:56, its intraday quotation stood at HK$16.83, down 1.81%.

According to Securities Times Network, RoboSense recently issued an announcement proposing to sell the Group’s embodied robot complete machine-related business and assets for a total cash consideration of RMB 59.878 million. The announcement also clarified that RoboSense will focus on advancing its long-term strategic plan. Beyond lidar products, it will supply major and critical incremental components for embodied robots.

China National Radio reported that the Ministry of Industry and Information Technology and eight other authorities have issued the *15th Five-Year Plan for the Development of the Intelligent Connected New Energy Vehicle Industry* (hereinafter referred to as the Plan). The Plan states that by 2030, China will further consolidate its advantages across the whole industrial chain of intelligent connected new energy vehicles and become a global automotive powerhouse. New energy passenger vehicles and commercial vehicles will account for 70% and 40% respectively of total new car sales in their respective domestic market segments, and vehicles equipped with autonomous driving functions will achieve large-scale application.

RoboSense(02498.HK) Focuses on the scaled mass production and delivery of LiDAR and core perception solutions for the autonomous driving perception layer. As a leading tier-1 supplier in the intelligent driving hardware supply chain, it has secured massive design wins across a wide range of models from global mainstream automakers and new energy vehicle (NEV) startups. The company maintains industry-leading growth in single-quarter automotive LiDAR shipments. Through process optimization and economies of scale, it continuously drives down per-unit hardware costs, solidifying its market share in the core perception infrastructure for autonomous driving.

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