RoboSense, a leading AI-driven robotics technology company, has officially announced that its E1, EMX, and EM4 mass-producible, automotive-grade, high-performance digital LiDARs are now fully compatible with the NVIDIA DRIVE AGX platform. By joining the NVIDIA DRIVE ecosystem, RoboSense strengthens its ability to deliver high-definition 3D perception data, which in turn shortens development and testing cycles for autonomous driving technologies. This milestone also allows original equipment manufacturers (OEMs) to accelerate the deployment and adoption of autonomous driving systems.
Highlighting the importance of this collaboration, Mark Qiu, CEO of RoboSense, stated, “The automotive industry is undergoing an unprecedented wave of transformation. We are delighted to join the NVIDIA DRIVE ecosystem to accelerate breakthroughs and upgrades across the global automotive sector. Our mass-producible, automotive-grade, high-performance digital LiDAR, when combined with NVIDIA’s DRIVE AGX, offers leading global automakers a choice for both mainstream and next-generation autonomous driving systems. This integration will help drive comprehensive upgrades in autonomous driving technologies, enabling wider-scale commercialization of Robotaxi and intelligent vehicles, and ushering in a safer, more intelligent mobility era.”
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As the automotive sector rapidly evolves, autonomous driving technology is advancing from Level 2 (L2) to Level 3 (L3) and even Level 4 (L4). This progression not only requires more reliable and high-performing sensors but also demands AI computing platforms with greater processing power. Therefore, the seamless integration of LiDAR systems and AI-driven computing has emerged as a key trend in building stronger, smarter autonomous vehicles.
RoboSense stands out as the only company in the industry capable of mass-producing both a digital main LiDAR with over 500 beams (EM4) and a fully solid-state blind-spot LiDAR (E1). These products already demonstrate strong momentum in intelligent vehicle adoption and Robotaxi applications. Specifically, the EM4 leverages an integrated SPAD-SoC and VCSEL chip to deliver unmatched performance and will enter mass production in Q3 2025. Meanwhile, the EM4+E1 dual-LiDAR configuration ensures both long-range precision and near-field blind-spot coverage, making it the preferred solution for multiple industry leaders.
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In parallel, NVIDIA DRIVE AGX processes data from LiDAR, cameras, millimeter-wave radar, and other sensors with advanced AI algorithms. This capability enables robust perception and real-time decision-making. Consequently, developers can simplify prototyping, simulation, and validation while ensuring seamless integration into intelligent vehicles with scalable performance expansion.
Currently, several automakers are already adopting RoboSense’s EM4 or EM4+E1 LiDAR systems in their next-generation advanced driver-assistance systems (ADAS) and autonomous models. For example, the Zeekr 9X integrates RoboSense’s 520-beam LiDAR into its ADAS platform, while the IM LS6 also incorporates the 520-beam LiDAR in its latest model lineup.
With these innovations, RoboSense and NVIDIA are paving the way for faster commercialization of autonomous vehicles and a safer, more intelligent mobility future.
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