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《机器人技术与应用》2025年第3期(总第225期)
机器人圈· 2025-08-06 11:42
Group 1 - The article discusses the development dynamics of practical field robots from a patent perspective, highlighting the current status of patent applications, key applicants, technological composition, core patents, and future development directions in the medical health and smart home sectors [2][4]. - Industrial robots are identified as a key technology for the transformation and upgrading of traditional manufacturing, with their industry and technology development trends quantified through patent big data analysis [3][4]. - The advanced control strategies in the hydraulic control systems of rock drilling robots are reviewed, focusing on the integration of sensor data and computer instructions for precise control [5][6]. Group 2 - The importance of multi-dimensional force/torque sensors in robots is emphasized, detailing their structure, working principles, and development trends, which are crucial for achieving compliance and intelligent control [6][7]. - An adaptive turning algorithm for autonomous driving in limited spaces is proposed, demonstrating its effectiveness through simulations in MATLAB [8]. - A ground traversable area segmentation algorithm based on point clouds is introduced for photovoltaic operation and maintenance scenarios, effectively addressing obstacles and navigation challenges [10][11]. Group 3 - A deep reinforcement learning-based walking control method for biped robots is presented, showcasing its ability to navigate complex terrains with high success rates [11]. - The article discusses the reform of industrial robot programming and application courses to enhance innovation and entrepreneurship capabilities among vocational students, integrating problem-solving theories into the curriculum [12][13]. - A project-based teaching reform in electrical control and PLC courses is explored, aiming to cultivate application-oriented talents through practical engineering projects and diversified assessment systems [13][14].