Literature DB >> 33470968

Dactyls and inward gripping stance for amphibious crab-like robots on sand.

Nicole M Graf1, Alexander M Behr2, Kathryn A Daltorio1.   

Abstract

Sandy beaches are areas that challenge robots of all sizes, especially smaller scale robots. Sand can hinder locomotion and waves apply hydrodynamic forces which can displace, reorient, or even invert the robot. Crab-like legs and gaits are well suited for this environment and could be used as inspiration for an improved design of robots operating in this terrain. Tapered, curved feet (similar to crab dactyl shape) paired with a distributed inward gripping method are hypothesized to enable better anchoring in sand to resist hydrodynamic forces. This work demonstrates that crab-like legs can withstand vertical forces that are larger than the body weight (e.g. in submerged sand, the force required to lift the robot can be up to 138% of the robot weight). Such legs help the robot hold its place against hydrodynamic forces imparted by waves (e.g. compared to displacement of 42.7 mm with the original feet, crab-like feet reduced displacement to 1.6 mm in lab wave tests). These feet are compatible with walking on sandy and rocky terrain (tested at three speeds: slow, medium, and fast), albeit at reduced speeds from traditional feet. This work shows potential for future robots to utilize tapered and curved feet to traverse challenging surf zone terrain where biological crabs thrive.
© 2021 IOP Publishing Ltd.

Entities:  

Keywords:  legged locomotion; marine animals; mobile robotics; sea-coast; underwater vehicles

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Substances:

Year:  2021        PMID: 33470968     DOI: 10.1088/1748-3190/abdd94

Source DB:  PubMed          Journal:  Bioinspir Biomim        ISSN: 1748-3182            Impact factor:   2.956


  1 in total

1.  Hands to Hexapods, Wearable User Interface Design for Specifying Leg Placement for Legged Robots.

Authors:  Jianfeng Zhou; Quan Nguyen; Sanjana Kamath; Yaneev Hacohen; Chunchu Zhu; Michael J Fu; Kathryn A Daltorio
Journal:  Front Robot AI       Date:  2022-04-14
  1 in total

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