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Small-Sized Reconfigurable Quadruped Robot With Multiple Sensory Feedback for Studying Adaptive and Versatile Behaviors

机译:具有多种感官反馈的小型可重新配置四足机器人,用于研究自适应和多功能行为

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Self-organization of locomotion characterizes the feature of automatically spontaneous gait generation without preprogrammed limb movement coordination. To study this feature in quadruped locomotion, we propose here a new open-source, small-sized reconfigurable quadruped robot, called Lilibot, with multiple sensory feedback and its physical simulation. Lilibot was designed as a friendly quadrupedal platform with unique characteristics, including light weight, easy handling, modular components, and multiple real-time sensory feedback. Its modular components can be flexibly reconfigured to obtain features, such as different leg orientations for testing the effectiveness and generalization of self-organized locomotion control. Its multiple sensory feedback (i.e., joint angles, joint velocities, joint currents, joint voltages, and body inclination) can support vestibular reflexes and compliant control mechanisms for body posture stabilization and compliant behavior, respectively. To evaluate the performance of Lilibot, we implemented our developed adaptive neural controller on it. The experimental results demonstrated that Lilibot can autonomously and rapidly exhibit adaptive and versatile behaviors, including spontaneous self-organized locomotion (i.e., adaptive locomotion) under different leg orientations, body posture stabilization on a tiltable plane, and leg compliance for unexpected external load compensation. To this end, we successfully developed an open-source, friendly, small-sized, and lightweight quadruped robot with reconfigurable legs and multiple sensory feedback that can serve as a generic quadrupedal platform for research and education in the fields of locomotion, vestibular reflex-based, and compliant control.
机译:自我组织的机器人特征是在没有预编程的肢体运动协调的情况下自动自发步态生成的特征。要在四足球运动中研究此功能,我们在此提出了一个新的开源,小型可重新配置四足机器人,称为Lilibot,具有多种感官反馈及其物理仿真。 Lilibot设计为友好的四桥平台,具有独特的特性,包括轻量级,易于处理,模块化组件和多个实时感官反馈。它的模块化部件可以灵活地重新配置以获得特征,例如用于测试自组织运动控制的有效性和泛化的不同腿取向。其多个感官反馈(即,关节角度,关节速度,关节电流,关节电压和身体倾斜度)可以分别支持前庭反射和用于身体姿势稳定和柔顺行为的兼容控制机制。为了评估Lilibot的表现,我们在它上实施了我们开发的自适应神经控制器。实验结果表明,Lilibot可以自主和快速地表现出自适应和多功能的行为,包括在不同腿取向下的自发自组织的运动(即,自适应运动),身体姿势稳定在可倾斜的平面上,以及用于意外的外部负荷补偿的腿部合规性。为此,我们成功开发了一种具有可重新配置的腿部和多种感官反馈的开源,友好,小型和轻量级的四足机器人,可以作为在行车领域的研究和教育的通用四桥平台,前门反射 - 基于和兼容的控制。

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