Autonomous Driving Concept Stocks Watch | RoboSense (02498.HK) Weakens in Afternoon Session, Peacock‑chip‑powered LiDAR E2 Enters Mass‑production Delivery

On September 2, 2026, RoboSense (02498.HK) traded lower in the afternoon. As of 15:05, the stock stood at HK$17.39, down 3.39%.

NewTimeSpace News: On September 2, 2026, RoboSense (02498.HK) traded lower in the afternoon. As of 15:05, the stock stood at HK$17.39, down 3.39%.

According to RoboSense’s financial report, the company unveiled its Genesis SPAD‑SoC architecture together with the Phoenix and Peacock chip families in April 2026. In the third quarter of this year, the second‑generation all‑solid‑state LiDAR E2 equipped with Peacock chip has started mass‑production delivery. Under current project schedules, deliveries of Peacock‑chip‑integrated products are expected to exceed 200,000 units in the second half of 2026.

As reported by Securities Times, on September 1, the Ministry of Commerce, the Ministry of Industry and Information Technology and the State Administration for Market Regulation jointly issued the *Guidelines on Overseas Competitive Practices and Compliance Development for the Automotive Industry* (hereinafter referred to as the Guidelines). It puts forward general reference guidance covering overseas marketing and other competitive activities of automotive enterprises, as well as compliance building for overseas work safety, quality management, labor protection and data security.

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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