Core Insights - RoboSense launched the AC2, a cutting-edge sensor system for robots, during the IROS2025 conference, emphasizing its role as the "robot's operating eye" [1][2] - The AC2 integrates dToF, RGB, and IMU technologies, providing precise depth, image, and motion data, with a synchronization accuracy of 1ms [2] - The introduction of the AI-Ready ecosystem alongside AC2 aims to enhance development efficiency and address current challenges in sensor integration for robotics [3] Group 1: Product Features - The AC2 is the first integrated sensor system in the industry that combines dToF, RGB, and IMU technologies, allowing for flexible output of depth, image, and motion data [2] - It features a wide field of view (FOV) of 120°×90°, enabling robots to perceive more objects in a single glance, thus reducing operational errors [2] - The AC2 ensures high-precision perception across various scenarios, capable of handling small and highly reflective objects without distortion during large movements [2] Group 2: Technological Advancements - The AC2 leverages advanced chip-level hardware synchronization to maintain high alignment of depth and image information across most scenarios [2] - The dToF technology used in AC2 is noted for its strong distance measurement capabilities, low computational requirements, and high interference resistance [1] - The introduction of the AI-Ready ecosystem includes open-source algorithms for posture estimation and human skeleton recognition, streamlining the development process for robotics [3] Group 3: Market Impact - The AC2 is expected to accelerate the commercialization of robotics in established sectors such as industrial, logistics, and home service applications [3] - It aims to unlock new application scenarios in emerging fields like embodied intelligence and digital twins, enhancing functionality validation and practical deployment [3] - The combination of AC2 and the AI-Ready ecosystem is positioned as the optimal perception solution for robotic operations, addressing current sensor stacking and development redundancy issues [3]