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Tue, July 2109:05Business/PolicyInfra & costAI hardwareRobotics & embodiedInfra & cost guide

RoboSense Launches Second-Gen All-Solid-State Perception Platform E2, Targeting Physical AI Data

Decision Brief

What changedRoboSense unveiled the E2 at WAIC 2026, based on its self-developed 'Peacock' SPAD-SoC chip, offering 3x precision of the previous gen and securing multiple orders.
Why it mattersIt upgrades LiDAR from a navigation accessory to a high-quality spatial data source for physical AI, potentially reducing 3D data acquisition costs for embodied intelligence teams.
Who should careAll AI builders
Affected stackNo specific stack identified
Source confidenceMedium · Reliable media or first-hand reporting

RoboSense officially launched the second-generation all-solid-state perception platform E2 at WAIC 2026. The platform is based on its self-developed large-area array SPAD-SoC 'Peacock' chip and 2D VCSEL chip, with an all-solid-state architecture that integrates signal transmission, reception, and data processing at the chip level. Compared to the previous generation, the E2 series offers a wider field of view and up to 3x higher precision, generating high-precision spatial perception data that supports precise robot operations in complex environments. The E2 targets home, industrial, and inspection scenarios and has been deployed in products like lawn mowing robots, humanoid robots, quadruped robots, and drones, securing cooperation orders from yard robot, smart hardware, and consumer electronics companies. For teams developing embodied intelligence or physical AI, models trained on traditional 2D images or simulated data often have low success rates in real environments. The E2's real-time high-precision 3D spatial data (distance, material, force, etc.) can be directly used for model iteration, closing the 'perception-understanding-decision-iteration' loop. RoboSense is collaborating with companies like ZhiZaiWuJie, JianZhi Robotics, Origen, and GuangLun Intelligence to build physical AI perception infrastructure. This positioning means robot developers can more easily access real-world data, instead of relying on costly self-built collection systems.

Summary basis: full article readCompiled from the source scope noted above; the original remains authoritative.

Sources

  • 36氪

    Chinese tech/startup coverage; AI signal filtered from broader business news.

  • 36氪

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