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RoboSense EOCENE SPAD-SoC

RoboSense EOCENE is a proprietary system-on-chip (SoC) architecture from the Chinese manufacturer RoboSense (速腾聚创; HKEX: 2498), designed for digital LiDAR. Its core idea is integrating a single-photon avalanche diode (SPAD) array together with the receive and signal-processing pipeline on a single chip, enabling digital single-photon counting instead of a classic analog detection path.

On the EOCENE architecture RoboSense built two chipsets: Phoenix and Peacock. The Peacock chip — using, per the manufacturer, a second-generation 3D stacking technology — performs simultaneous signal reception and processing with real-time point-cloud output. Peacock is used in the mass-produced, fully solid-state E2 LiDAR.

The architecture was unveiled by RoboSense alongside its H1 2026 interim results (26 August 2026). Both the SPAD-SoC and the accompanying VCSEL in the E2 LiDAR carry AEC-Q102 automotive-grade qualification.

#SPAD-SoC#LiDAR#digital LiDAR#RoboSense#EOCENE#single-photon avalanche diode#SoC
Market classIndustrial
Introduction date26 August 2026

Classification

LiDAR SPAD SoC · serves as: Sensing, Perception, Obstacle Detection. · compatible with: Humanoid, Mobile Robot, Service Robot.

Which group RoboSense EOCENE SPAD-SoC belongs to and how it is built

5items
Sensing
Hardware domain
Industrial
Market class

Proprietary integrated circuits for LiDAR — SoCs integrating detectors (e.g. SPAD) and signal processing on a single chip.

System-on-chip for digital LiDAR integrating a single-photon avalanche diode (SPAD) array with the receive and signal-processing pipeline.

A single semiconductor component integrating CPU, GPU, AI accelerators, memory controllers, multimedia engines, and communication interfaces.

Technical specification

What RoboSense EOCENE SPAD-SoC can detect and measure in its environment

2parameters
Point cloud support
Yes

Time of Flight is the most widely used measurement method in LiDAR sensors. Distance is determined by measuring the time required for a laser pulse to travel to an object and return to the receiver. This approach is broadly used in robotics, autonomy, mapping, and spatial perception systems.

Updated: 28 August 2026