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爬树机器人机械设计与关键技术研究进展OA北大核心

Research Advances in Mechanical Design and Key Technologies for Tree-Climbing Robot

中文摘要英文摘要

爬树机器人作为面向高空复杂作业环境的高度集成化智能装备,其机械设计与关键技术的协同优化是实现高效、安全作业的核心挑战.文中梳理国内外爬树机器人的研究进展,依据爬升机制将其划分为抓握攀爬式、冲击式与螺旋式3类,并从力学特性、运动控制及环境适应性角度对比分析了各类设计的性能差异;针对其核心功能,重点探讨夹持机构动态适配性、防坠安全机制及切割工具性能优化等关键技术问题,揭示机械设计与作业效率、安全性间的内在关联.研究指出,现有技术面临抓握式能耗高、冲击式负载不足、螺旋式越障能力弱等瓶颈,未来需围绕轻量化结构、智能化控制、多功能模块化集成等方向深化研究,以突破环境适应性与能源效率限制,推动爬树机器人在林业管理、城市运维及生态监测中的广泛应用.

As highly integrated intelligent equipment designed for complex aerial operational environments,tree-climbing robot present a core challenge in achieving efficient and safe operations through the synergistic optimization of mechanical design and key technologies.This paper reviews global research progress in tree-climbing robotics,categorizing existing prototypes into three distinct designs of grasping-climbing type,impact-driven type,and helical propulsion type based on climbing mechanisms.A comparative analysis is conducted from perspectives of mechanical characteristics,motion control strategies,and environmental adaptability to elucidate performance variations among different designs.Focusing on core functionalities,the investigation emphasizes critical technological issues including dynamic adaptability of clamping mechanisms,anti-fall safety systems,and performance optimization of cutting tools,thereby revealing intrinsic correlations between mechanical design and operational efficiency/safety.The research identifies current technological bottlenecks such as excessive energy consumption in grasping-type robots,insufficient load capacity in impact-driven systems,and limited obstacle-crossing capabilities in helical configurations.Future development directions should prioritize advancements in lightweight structural design,intelligent control algorithms,and multifunctional modular integration.These improvements are essential to overcome existing limitations in environmental adaptability and energy efficiency,ultimately promoting widespread applications of tree-climbing robots in forest management,urban infrastructure maintenance,and ecological monitoring.

金子强;周宏平;许林云;刘万春;赵康奇

南京林业大学机械电子工程学院,南京 210037南京林业大学机械电子工程学院,南京 210037南京林业大学机械电子工程学院,南京 210037南京林业大学机械电子工程学院,南京 210037南京林业大学机械电子工程学院,南京 210037

农业科技

爬树机器人修枝技术机构设计爬升策略关键技术

tree climbing robotpruning techniqueinstitutional designclimbing strategykey technology

《世界林业研究》 2025 (2)

69-77,9

国家重点研发计划"木竹采收与加工关键装备技术"(2024YFD2200700).

10.13348/j.cnki.sjlyyj.2025.0030.y

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