RoboSense LiDAR Systems for Apollo Go Robotaxi Secure Exclusive Production Nomination

The RoboSense LiDAR systems for Apollo Go Robotaxi have been selected for exclusive production integration into the next generation of driverless vehicles deployed by Baidu’s autonomous ride-hailing service. Announced on March 12, the nomination positions RoboSense as the primary LiDAR supplier for factory-built Robotaxi vehicles designed for large-scale deployment. The collaboration reflects growing demand for reliable perception hardware capable of supporting Level 4 automated driving operations while ensuring operational safety and efficiency in urban mobility environments.

Exclusive LiDAR Supply for Apollo Go Robotaxi Fleet

Under the production agreement, RoboSense will supply its high-channel digital EM4 LiDAR as the main perception sensor for Apollo Go’s next-generation Robotaxi vehicles. The system will be integrated during vehicle manufacturing, enabling factory-installed sensing capability optimized for driverless mobility services. By embedding the sensors directly into production vehicles, the companies aim to streamline deployment while ensuring consistent hardware performance across large Robotaxi fleets operating within autonomous ride-hailing networks.

Dual-Sensor Architecture Enhances Vehicle Perception

The sensing system combines the EM4 LiDAR with RoboSense’s solid-state E1 LiDAR to deliver a comprehensive perception architecture. While the EM4 sensor serves as the primary environmental scanner, the E1 LiDAR focuses on monitoring blind spots that may otherwise remain undetected. Together, the two units enable full 360-degree environmental awareness, improving detection accuracy for surrounding vehicles, pedestrians, and obstacles while supporting higher safety standards required for large-scale autonomous mobility deployments.

Growing Design Wins for RoboSense EM Platform

The EM LiDAR platform has steadily expanded its footprint in the automotive sector, particularly for factory-installed vehicle sensing solutions. By late November 2025, RoboSense had secured design wins from 13 automakers across 56 vehicle models. These programs include collaborations with SAIC Audi and IM Motors as well as projects involving North American and European automotive manufacturers and joint-venture brands. The platform’s adoption highlights increasing industry interest in scalable LiDAR technologies designed for production vehicles.

Rising Production Orders from Global Automakers

Momentum for the platform strengthened further in early December when RoboSense secured a new mass-production nomination from FAW Toyota for a widely sold passenger vehicle model. This additional program pushed the cumulative five-year order volume for the EM platform toward one million units. Such production commitments demonstrate the company’s expanding presence in the automotive LiDAR supply chain and reinforce its capability to deliver sensors at scale for advanced driver assistance and automated driving systems.

Strengthening Position in the Robotaxi Market

Beyond traditional passenger vehicle applications, RoboSense has been gaining traction within the rapidly developing Robotaxi ecosystem. Its EM4 and E1 LiDAR combination was previously selected for next-generation autonomous vehicles developed by DiDi Autonomous Driving, supporting the perception requirements of Level 4 automated driving systems. The new Apollo Go nomination marks another milestone, reinforcing confidence among mobility providers in the company’s LiDAR technology and its ability to support mass-production autonomous vehicle programs.

The partnership is expected to accelerate the deployment of RoboSense sensing technology across Robotaxi fleets while supporting the next phase of Apollo Go’s autonomous ride-hailing services. By strengthening collaboration around LiDAR hardware integration and large-scale production, the companies aim to expand their footprint in the global driverless mobility sector and contribute to the continued development of safe and reliable autonomous transportation systems.