Road Following for Hexapod Mobile Robot with Adaptive Tripod Gait

Sameh I. Beaber, A. Abdelhamid, Maged M. Abou Elyazed
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引用次数: 1

Abstract

The biological locomotion of animals shows an incredible degree of flexibility and durability that gives them an advantage to move across rough terrain. Even if hexapod robots are so superior to adjust with uneven terrains, they already have some problems to follow a smooth path exactly. With such obstacles, regular Periodic walking gates will not be able to respond quickly. During this study, the task to follow an accurately predetermined route in the Cartesian region is built through the adaptive gate. The Phantom_ll model robot case study is simulated via Matlab SimMechanics™ toolbox to evaluate and estimate dynamics of the hexapod and the adaptive gate implemented. In addition, the Phantom 11 case study is evaluated in the kinematic model that consisting of two main objectives, the direct and inverse kinematics. Inverse kinematics is calculated geometrically and the Denavit-Hartenberg method is applied to determine the direct kinematics. The robot margin of stability and kinematic limitations are also taken into consideration. Simulation results showed the suitability of the presented adaptive gait.
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具有自适应三脚架步态的六足移动机器人的道路跟踪
动物的生物运动表现出令人难以置信的灵活性和持久性,这使它们在穿越崎岖地形时具有优势。即使六足机器人在适应不平坦的地形方面如此优越,但它们在准确地沿着平坦的路径行走时也存在一些问题。有了这样的障碍,常规的周期性行走门将无法快速响应。在本研究中,通过自适应门构建在笛卡尔区域内精确预定路线的任务。通过Matlab SimMechanics™工具箱对Phantom_ll模型机器人案例研究进行了仿真,以评估和估计六足机器人的动力学和实现的自适应门。此外,幻影11案例研究在运动学模型中进行了评估,该模型由两个主要目标组成,即正运动学和逆运动学。采用几何方法计算运动学逆解,采用Denavit-Hartenberg法确定正解。同时考虑了机器人的稳定裕度和运动限制。仿真结果表明了所提出的自适应步态的适用性。
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