4.7 Article

Analysis of climbing in circular and rectangular pipes with a reconfigurable sprawling robot

Journal

MECHANISM AND MACHINE THEORY
Volume 173, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.mechmachtheory.2022.104832

Keywords

Climbing robots; Field robots; Mechanical design; Reconfigurable robot; Crawling robot; Sprawl tuning

Funding

  1. Helmsley Charitable Trust
  2. Agricultural, Biological and Cognitive Robotics Initiative and by the Marcus Endowment Fund, both at Ben-Gurion University of the Negev

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This paper presents an analytical and experimental study on a reconfigurable field robot that can climb inside circular and rectangular pipes. The robot's ability to adapt to different pipe sizes is achieved through mechanisms that allow it to change its width, height, and center of mass. The study includes kinematic modeling, force analysis, and strategies for driving, climbing, and transitioning between modes. A control algorithm is also designed to automate the robot's movements inside pipes.
This paper presents an analytical description and experimental results for a reconfigurable field robot that can climb inside circular and rectangular pipes. The robot is fitted with two mechanisms that allow it to change its width and height and shift its center of mass (COM) to adapt itself to the size of the pipe. We start by describing the kinematic model of the robot as a function of its sprawl and four bar extension mechanism (FBEM). Next, we develop a force analysis based on the robot's geometry, its configuration, the position of its center of mass (COM), the diameter of the pipe, and the coefficient of friction (COF). We then develop strategies for driving, climbing and transitioning between the two modes. Although a high COF increases the robot's grip, it reduces its ability to reconfigure its shape, which it needs to transition between its climbing/driving modes. Based on this analysis, we designed a control algorithm comprised of actuation sequences to automatically drive the robot inside pipes, including the transition phases. The results show that the robot successfully executed its climbing tasks (see video).

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