RoboSense Showcases SPAD-SoC LiDAR Roadmap Toward 2026–2027 Production

A LinkedIn post from RoboSense describes a technology showcase at its 2026 Tech Day, where the company highlighted a new EOCENE SPAD-SoC architecture and two flagship chipsets, Phoenix and Peacock. The post positions these developments as enabling “image-grade” high-definition 3D perception for LiDAR, drawing an analogy to the shift from CCD to CMOS in imaging.

According to the post, the self-developed EOCENE SPAD-SoC platform is designed to support a scalable chipset portfolio, with features such as a 28nm automotive-grade process, a 4320-core compute array, and high levels of noise and crosstalk suppression. These technical specifications suggest a focus on cost efficiency and performance, which could be relevant to RoboSense’s ability to compete on both price and capability in automotive and robotics LiDAR markets.

The LinkedIn post highlights Phoenix as an automotive-grade monolithic SPAD-SoC, offering a 2,160-beam LiDAR output, ultra-high resolution, 600-meter detection range, and AEC-Q100 certification. The post also notes that Phoenix has secured design wins from “world-leading automakers” and targets mass production in 2026, indicating potential future revenue streams contingent on successful scaling and customer program ramps.

For non-automotive use cases, the post outlines Peacock as a fully solid-state SPAD-SoC aimed at robotics and industrial applications, with high-density resolution and a wide field of view. Stated use cases include robotics, industrial safety, blind-spot LiDAR and “super-sensors,” with mass production planned for the third quarter of 2026, which may broaden RoboSense’s addressable market beyond passenger vehicles.

The post further previews an RGBD sensor targeted for release by the end of 2027, combining color information with dense spatial data to support “physical AI.” If successfully commercialized, such sensors could enhance RoboSense’s product mix toward higher-value perception solutions, potentially increasing content per vehicle or robot in advanced automation deployments.

Strategically, the LinkedIn post suggests that RoboSense views the LiDAR sector as entering a digital, high-beam, image-grade phase, with SPAD-SoC as a core enabling technology. For investors, the emphasis on proprietary architecture, long-range roadmaps, automotive certifications, and named mass-production timelines may signal an effort to secure technological leadership and long-term platform adoption, though execution risk and competitive pressures in LiDAR and semiconductor markets remain key considerations.