A Modular Pneumatic Soft Gripper Design for Aerial Grasping and Landing

Hiu Ching Cheung, Ching Wei Chang, Bailun Jiang, Chih Yung Wen, Henry K. Chu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

3 Citations (Scopus)

Abstract

Aerial robots have garnered significant attention due to their potential applications in various industries, such as inspection, search and rescue, and drone delivery. Successful missions often depend on the ability of these robots to grasp and land effectively. This paper presents a novel modular soft gripper design tailored explicitly for aerial grasping and landing operations. The proposed modular pneumatic soft gripper incorporates a feed-forward proportional controller to regulate pressure, enabling compliant gripping capabilities. The modular connectors of the soft fingers offer two configurations for the 4-tip soft gripper, H-base (cylindrical) and X-base (spherical), allowing adaptability to different target objects. Additionally, the gripper can serve as a soft landing gear when deflated, eliminating the need for an extra landing gear. This design reduces weight, simplifies aerial manipulation control, and enhances flight efficiency. We demonstrate the efficacy of indoor aerial grasping and achieve a maximum payload of 217 g using the proposed soft aerial vehicle and its H-base pneumatic soft gripper (808 g).

Original languageEnglish
Title of host publication2024 IEEE 7th International Conference on Soft Robotics, RoboSoft 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages82-88
Number of pages7
ISBN (Electronic)9798350381818
DOIs
Publication statusPublished - 13 May 2024
Event7th IEEE International Conference on Soft Robotics, RoboSoft 2024 - San Diego, United States
Duration: 14 Apr 202417 Apr 2024

Publication series

Name2024 IEEE 7th International Conference on Soft Robotics, RoboSoft 2024

Conference

Conference7th IEEE International Conference on Soft Robotics, RoboSoft 2024
Country/TerritoryUnited States
CitySan Diego
Period14/04/2417/04/24

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Materials Science (miscellaneous)
  • Control and Optimization
  • Modelling and Simulation
  • Instrumentation

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