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Caterpillar-Like Climbing Method Incorporating a Dual-Mode Optimal Controller

机译:包含双模式最优控制器的履带式爬升方法

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This paper presents a bio-inspired caterpillar-like climbing method. Natural caterpillars climb relatively slow, but their multisegmented body trunk strongly enhances climbing versatility and stability, which thus motivates us to design an imitative robot to study the caterpillar-like climbing locomotion. Based on observations from natural caterpillars, we propose a three-stage climbing method to imitate the caterpillar-like straight line climbing on a planar wall. Due to the redundancy property of caterpillars' multisegmented body trunk, we formulate the caterpillar-like climbing problem as an end-effector tracking problem using the redundant robotics terminology. A dual-mode optimal controller, which effectively resolves the end-effector tracking problem even when the robot configuration is ill-conditioned, is incorporated for realizing the caterpillar-like climbing locomotion. Both simulation and experiment results are presented to demonstrate the effectiveness of the proposed caterpillar-like climbing method.
机译:本文提出了一种仿生毛虫状的攀爬方法。天然的毛毛虫爬起来相对较慢,但是它们的多段身体躯干极大地增强了爬升的多功能性和稳定性,因此激发了我们设计一个模仿机器人来研究像毛毛虫一样的爬升运动。基于对自然毛虫的观察,我们提出了一种三阶段爬升方法来模仿在平面墙上爬虫样的直线。由于毛毛虫的多段身体躯干具有冗余性,我们使用冗余机器人术语将毛毛虫状的攀爬问题表述为末端执行器跟踪问题。结合了双模式最优控制器,即使在机器人配置不佳的情况下,该控制器也能有效解决末端执行器跟踪问题,以实现履带式爬虫运动。仿真和实验结果均被证明以证明拟议的履带式攀登方法的有效性。

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