RoboSense is the focus of this weekly recap, as the LiDAR specialist advanced both its product roadmap and its visibility with automakers. The company highlighted its EOCENE SPAD-SoC chipset platform at its 2026 Tech Day and saw its Phoenix LiDAR showcased on Geely’s new Eva Cab robotaxi prototype at the Beijing Auto Show.
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The self-developed EOCENE platform, built on a 28nm automotive-grade process, targets image-grade 3D perception and tighter integration of sensing and compute. It underpins the Phoenix automotive LiDAR and the fully solid-state Peacock sensor, which together aim to deliver higher resolution, scalability, and a foundation for vertically integrated, higher-margin semiconductor-based perception solutions.
Phoenix is described as an automotive-grade monolithic SPAD-SoC LiDAR with 2,160 beams, a 600-meter detection range, and ultra-high resolution, and it has already secured design wins from unnamed global automakers. At Beijing, Geely’s purpose-built Eva Cab robotaxi featured RoboSense’s 2,160-beam digital LiDAR based on the Phoenix SPAD-SoC, signaling progress from chip launch to on-vehicle deployment for Level 4 autonomous driving.
Peacock targets robotics and industrial markets with a fully solid-state SPAD-SoC offering high-density resolution, wide field of view, and millimeter-level precision for safety and blind-spot applications. RoboSense is planning mass production of Phoenix and Peacock in 2026, which could expand its revenue base into both automotive and industrial segments, while an RGBD sensor slated for 2027 aims to support advanced “physical AI” use cases.
These developments suggest potential deepening ties with major automakers and a broader addressable market across mobility and industrial automation, although commercial volumes, pricing, and contract terms remain undisclosed. Overall, RoboSense’s week underscored a strategic push toward digital, image-grade LiDAR with clear production timelines, positioning the company for future growth contingent on execution and customer adoption.