A Sensorless Parallel Gripper Capable of Generating Sub-Newton Level Grasping Force

Mutsuhito Sato, Hikaru Arita, Yoshiki Mori, Sadao Kawamura, Zhongkui Wang

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

2 Citations (Scopus)

Abstract

Upon grasping a fragile object, small grasping force and gripper compliance are required to avoid large deformation or damage to the object. In this study, linear servomotor based mechanism is used to construct a parallel gripper which is able to achieve small gripping force and compliance without using external force sensors. The linear motor mechanism has low friction and no reduction gear. Therefore, it can produce small thrust force with high back-drivability. The proposed parallel gripper consists of two linear motor mechanisms, a guide rail, a frame, and two fingers. The thrust force of the linear motor can be controlled through a driver. The components of the gripper were manufactured using metal machining and 3D printing, and they were carefully assembled to ensure good axial alignments. Force calibration was conducted and the minimum grasping force was confirmed as a value of 0.076 N. The friction force of the guide rail was also experimentally measured and it was confirmed to be 0.090 N. Finally, grasping experiments were conducted on potato chips and tofu. Results suggested that the proposed parallel gripper is able to handle fragile objects with sub-Newton level force.

Original languageEnglish
Title of host publication2024 IEEE/SICE International Symposium on System Integration, SII 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages202-206
Number of pages5
ISBN (Electronic)9798350312072
DOIs
Publication statusPublished - 2024
Event2024 IEEE/SICE International Symposium on System Integration, SII 2024 - Ha Long, Viet Nam
Duration: Jan 8 2024Jan 11 2024

Publication series

Name2024 IEEE/SICE International Symposium on System Integration, SII 2024

Conference

Conference2024 IEEE/SICE International Symposium on System Integration, SII 2024
Country/TerritoryViet Nam
CityHa Long
Period1/8/241/11/24

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering
  • Control and Optimization
  • Modelling and Simulation
  • Instrumentation

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