Self-adaptive rolling motion for snake robots in unstructured environments based on torque control

Shihao Ma , Fatao Qin , Shufan Chen , Longchuan Li , Jianming Wang , Zengzeng Wang , Shuai Li , Xuan Xiao
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Abstract

Snake robots have great potential for exploring and operating in challenging unstructured environments, such as rubble, caves, and narrow pipelines. However, due to the complexity and unpredictability of unstructured environments, designing a controller that can achieve adaptive motion is crucial. This paper proposes a self-adaptive torque-based rolling controller for snake robots, enabling compliant motion in unstructured environments. First, a controller is designed to modify the torque of each motor by focusing on the different motion states of the rolling gait. Second, an experimental platform is established for snake robots to verify the effectiveness of the controller. Finally, a series of rolling experiments are conducted using the torque-based rolling controller. In conclusion, the self-adaptive torque-based rolling controller enhances snake robot adaptability and mobility.

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基于转矩控制的蛇形机器人非结构环境自适应滚动运动
Snake机器人在具有挑战性的非结构化环境中具有巨大的探索和操作潜力,如瓦砾、洞穴和狭窄的管道。然而,由于非结构化环境的复杂性和不可预测性,设计一种能够实现自适应运动的控制器至关重要。本文提出了一种用于蛇形机器人的基于转矩的自适应滚动控制器,使其能够在非结构化环境中实现柔顺运动。首先,设计了一个控制器,通过关注滚动步态的不同运动状态来修改每个电机的扭矩。其次,建立了蛇形机器人实验平台,验证了控制器的有效性。最后,使用基于转矩的轧制控制器进行了一系列轧制实验。总之,基于转矩的自适应滚动控制器提高了蛇形机器人的适应性和机动性。
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