Advancing Legged Wall Climbing Robot Performance through Dynamic Contact-Integrated Climbing Model

Shengchang Fang, Guisong Chen, Yitong Zhou, Xiaojie Wang
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Abstract

Climbing robots have gained significance in hazardous and steep terrains, yet adapting to complex environments remains a challenge. Inspired by nature's climbers, this paper introduces a climbing dynamics model that integrates foot-end contact forces, crucial for safe and efficient wall climbing. Drawing insights from animal locomotion and biomechanics, we present a comprehensive dynamic model for quadruped robots. Our model, built upon multibody dynamics and a dynamic contact model based on spiny claw mechanisms, accurately simulates robot forces and motion during climbing, even predicting failure scenarios. Experimental validation further establishes model accuracy. This study advances climbing robot research by addressing attachment interaction dynamics and provides valuable insights for optimizing robot structural design and gait strategies.
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通过动态接触综合攀爬模型提高腿式爬墙机器人的性能
攀爬机器人在危险和陡峭的地形中发挥着重要作用,但如何适应复杂的环境仍是一项挑战。受大自然攀爬者的启发,本文介绍了一种攀爬动力学模型,该模型整合了脚端接触力,这对安全高效地爬墙至关重要。我们从动物运动学和生物力学中汲取灵感,为四足机器人提出了一个全面的动态模型。我们的模型建立在多体动力学和基于棘爪机制的动态接触模型的基础上,能准确模拟机器人在攀爬过程中的力和运动,甚至能预测失效情况。实验验证进一步证实了模型的准确性。这项研究通过解决附着物相互作用动力学问题推进了攀爬机器人研究,并为优化机器人结构设计和步态策略提供了宝贵的见解。
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