又一“真”智能巡检作业平台亮相！具备自主巡检与多机协同能力

Core Viewpoint - The article highlights the transformative opportunities for traditional inspection methods in the context of advancing intelligent technology, showcasing the development of an intelligent inspection operation platform by Zhongke Shengu, which features autonomous inspection and multi-machine collaboration capabilities [1]. Group 1: Intelligent Inspection Platform - The platform is developed based on the Shengu Open Source Brain System, integrating high-precision motion control and perception decision-making capabilities to create a unified robotic intelligence system [3]. - It enables intelligent scheduling and task allocation among multiple robots, allowing them to autonomously optimize inspection paths and allocate resources in complex scenarios [4]. Group 2: Multi-Modal Perception System - The robotic system employs multi-sensor fusion technology to achieve centimeter-level autonomous navigation in complex indoor and outdoor environments, utilizing 3D laser SLAM and RTK positioning for effective obstacle avoidance and path planning [6]. - The platform includes intelligent upper-level software that consolidates real-time feedback from inspection robots, allowing operators to monitor and manage distributed robots through a user-friendly visual interface [7]. Group 3: Open Architecture and Development Support - The open architecture of the platform supports further development, providing a complete development toolchain and intelligent algorithm library for researchers to enhance functionalities such as mobile operations and environmental interactions [9]. - The system integrates depth cameras and intelligent infrared thermal imaging for superior environmental perception and state recognition under all weather conditions [10]. Group 4: Applications in Industry and Education - The intelligent inspection operation platform demonstrates the practical value of embodied intelligence technology, applicable in industrial parks, smart communities, and research facilities, providing reliable technical support for modern operational management [11]. - It also serves as an efficient platform for teaching and research in fields like robotic engineering, artificial intelligence, and automation, supporting experimental teaching and algorithm validation for researchers [13].