Open AccessVersatile Like a Seahorse Tail: A Bio‐Inspired Programmable Continuum Robot For Conformal Grasping
Author(s) -
Zhang Jie,
Hu Yunge,
Li You,
Ma Ke,
Wei Yujun,
Yang Jinzhao,
Wu Zhigang,
Rajabi Hamed,
Peng Haijun,
Wu Jianing
Publication year - 2022
Publication title -
advanced intelligent systems
Language(s) - English
Resource type - Journals
ISSN - 2640-4567
DOI - 10.1002/aisy.202200263
Subject(s) - robot , constant curvature , curvature , kinematics , robot locomotion , computer science , conformal map , artificial intelligence , mobile robot , robot control , engineering , simulation , physics , mathematics , classical mechanics , geometry
Compliant grasping is an important function of continuum robots that interact with humans and/or unpredictable environments. However, the existing robots often have cross‐sections that remain constant along their length. This causes the robots to exhibit poor grasping ability, especially when dealing with objects with diverse curvatures. Here, inspired by the high adaptability of seahorse tails in grasping, a cable‐driven continuum robot with tapered tensegrity, capable of conformally grasping objects with various curvatures is proposed. To characterize the effects of tapering on robotic kinematics, a mechanical model is derived using a multi‐body dynamic framework for both predicting the configuration and developing a control strategy for cables. Theoretical predictions indicate that the curvature of each unit can be regulated by altering the length of the cables, allowing the robot to conform to objects with curvatures ranging from 1.48 to 28.21 m −1 . Further, a continuum robot is employed, and the control strategy that can be used for grasping floating objects when the curvature of the objects is used as the input is tested. The robotic design, which presents an example of embedded physical intelligence, can inspire in situ characterization techniques for collecting floating contaminants.