Hybrid Force-Position Control of an Elastic Tendon-Driven Scrubbing Robot (TEDSR)

Noah Harmatz, Alina Zahra, Amir Abdelmalak, Shivam Purohit, Trevor Shin, Aaron D. Mazzeo

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

Abstract

There is a lack of cleaning robots dedicated to the scrubbing of contaminated surfaces. Contaminated surfaces in domestic and industrial settings typically require manual scrubbing which can be costly or hazardous. There is growing demand for automated sanitization systems in hospitals, food-processing plants, and other settings where cleanliness of surfaces is important. To address the opportunity to automate the scrubbing of surfaces, this work focuses on the use of series elastic actuators which can apply consistent trajectories of scrubbing force. Consistent force during scrubbing increases the rate of removal for a contaminant. An elastic robot which has rigid links and low-stiffness joints can perform friction-based cleaning of surfaces with complex geometries while maintaining consistent scrubbing force. This study uses a hybrid force-position control scheme and a low-cost elastic robot to perform scrubbing. This study observes the relationship between joint stiffness in the robot and the disturbance rejection for forcebased control during scrubbing.

Original languageAmerican English
Title of host publication2024 IEEE International Conference on Robotics and Automation, ICRA 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4693-4699
Number of pages7
ISBN (Electronic)9798350384574
DOIs
StatePublished - 2024
Event2024 IEEE International Conference on Robotics and Automation, ICRA 2024 - Yokohama, Japan
Duration: May 13 2024May 17 2024

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation

Conference

Conference2024 IEEE International Conference on Robotics and Automation, ICRA 2024
Country/TerritoryJapan
CityYokohama
Period5/13/245/17/24

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Artificial Intelligence

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