Abstract
Sandy beaches can be smooth access points for future amphibious robots to enter and exit the water, but the terrain is challenging, especially for smaller scale robots. Strong hydrodynamic forces can interrupt navigation by displacing, reorienting, or even inverting the robot. Looking to animals that navigate these conditions, crabs have legs and gaits that are distinctive from land animals and robots. In order to better understand the potential advantages of crab-like legs for surf-zone terrain, our goal is to evaluate these legs on dry, wet, and submerged sandy terrain. With our modified 1.2 kg HEXY robot, we demonstrate two important advantages of crab-like legs. First, crab-like legs can allow the robot to resist vertical forces greater than the body weight (the maximum force required to lift the robot is 120% of the weight). This is important because, in contrast to robots that increase traction by adding weight, using the legs to effectively increase normal forces means that robots can be built lighter and smaller while still traversing the same environments. Secondly, we show distributed inward gripping with the crab-like legs reduce wave-induced displacement in lab tests (with default feet, waves displace the robot 1–4 cm, but with our crab-like feet, this displacement is eliminated). The modified foot designs of the robot are compatible with legged walking gaits (slow, medium, and fast). In the future, these leg designs and grasping strategies can be used to convert other land-based robots for amphibious locomotion.
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Acknowledgment
We would like to thank Ariel Foss for help with data entry, Noah Napiewocki and Justin Wong for constructing the wave tank, and Chenming Wei for helping make the drawings of the feet. This work was sponsored by the Office of Naval Research and CWRU Graduate Student Travel Award.
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Graf, N.M., Behr, A.M., Daltorio, K.A. (2019). Crab-Like Hexapod Feet for Amphibious Walking in Sand and Waves. In: Martinez-Hernandez, U., et al. Biomimetic and Biohybrid Systems. Living Machines 2019. Lecture Notes in Computer Science(), vol 11556. Springer, Cham. https://doi.org/10.1007/978-3-030-24741-6_14
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