SIASUN(SZ:300024) Qian Zhan Wang·2025-06-19 09:23Core Insights - The article discusses the current state and technological challenges of the mining robot industry, emphasizing the need for clearer application scenarios and advancements in core technologies to meet user demands [1][2]. Industry Overview - Major listed companies in the mining robot sector include CITIC Heavy Industries, China Railway Construction Heavy Industry, Keda Control, and others [1]. - The mining robot industry aims to enhance safety and efficiency by automating tasks such as inspection, extraction, transportation, and rescue [1]. Technological Challenges - The main bottlenecks in the development of mining robots include insufficient human-machine interaction, intelligent perception, and decision-making capabilities [1]. - There is a lack of investment in core algorithms and intellectual property, which hinders sustainable development in the mining robot industry [1]. Key Technological Directions - Future advancements will focus on FPGA chip technology, machine learning, neural networks, and digital twin technology [2]. - The development of lightweight, explosion-proof batteries and enhanced robotic arms for better maneuverability and fault detection is also highlighted [2][5]. Development Process - The development process for mining robots consists of six steps, starting from demand analysis to mass production after sample testing [6]. Key Technologies - Navigation technology is crucial for autonomous movement in mining robots, with various methods including magnetic, inertial, GPS, and visual navigation [7][9]. - Path planning involves searching for optimal paths based on environmental information, which remains an active area of research [10]. - Multi-sensor fusion technology integrates data from various sensors to provide a comprehensive understanding of the environment, enhancing decision-making capabilities [11][13].