Parameter estimation and modeling of a pneumatic continuum manipulator with asymmetric building blocks

Naveen Kumar Uppalapati, Gaurav Singh, Girish Krishnan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Soft Continuum manipulators are increasingly popular because of their ability to interact safely with humans, maneuver around obstacles and enable cost-effective operation. In this paper, we investigate a unique manipulator composed of two asymmetric fiber reinforced pneumatic building blocks, one capable of bending and the other axially rotating. The combination of these building blocks can yield spatial motion including helical deformation pattern. While this design architecture is beneficial for whole arm manipulation and grasping, the asymmetric combination introduces structural coupling between the two modes rendering an analytical model hard to formulate. In this paper, we propose a Cosserat rod model to capture the deformation of the manipulator whose material properties and actuation parameters are estimated through extensive experiments. Once the model parameters are determined, the Cosserat model can be used to estimate deformation profile even in the presence of external loads. Such a framework is general and can be applied to obtain the forward and inverse kinematics of any continuum manipulator.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Soft Robotics, RoboSoft 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages528-533
Number of pages6
ISBN (Electronic)9781538645161
DOIs
StatePublished - Jul 5 2018
Event1st IEEE International Conference on Soft Robotics, RoboSoft 2018 - Livorno, Italy
Duration: Apr 24 2018Apr 28 2018

Publication series

Name2018 IEEE International Conference on Soft Robotics, RoboSoft 2018

Other

Other1st IEEE International Conference on Soft Robotics, RoboSoft 2018
Country/TerritoryItaly
CityLivorno
Period4/24/184/28/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Control and Optimization
  • Modeling and Simulation
  • Mechanical Engineering

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