RoboSense has launched the AC1camera series, with an accompanying AI-Ready ecosystem designed to support robotic vision development. The AC1 integrates LiDAR, camera, and inertial measurement unit (IMU) sensors at the hardware level, enabling spatiotemporal fusion of depth, visual, and motion data.
This integration is intended to simplify system architecture by reducing the need for multi-sensor stacking and calibration, supporting functions such as obstacle avoidance, mapping, and localization within a single device.
According to RoboSense, the AC1 features a 120° x 60° field of view and a detection range of up to 70 meters. The system is capable of detecting low-reflectivity objects (10% reflectance) at distances of up to 20 meters, and offers a ranging accuracy of 3 centimeters at one standard deviation.
The AI-Ready ecosystem includes software development tools such as AC Studio, an integrated development toolkit, and an open-source SDK. These tools provide access to drivers, data acquisition modules, and fusion algorithms, as well as libraries supporting technologies such as simultaneous localization and mapping (SLAM), semantic segmentation, and 3D Gaussian splatting. The tools are optimized for widely used AI computing platforms.
RoboSense states that the AC1 platform is designed for use in applications including humanoid robotics, drones, 3D scanning, digital twins, environmental monitoring, and bulk material tracking, and may also be applicable in fields such as autonomous driving and industrial or domestic robotics.
