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Valg: Vision-Based Adaptive Laser Gripper for Model-Free Pose Control of Floating Objects at Air-Liquid Interface

  • Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Non-contact manipulation at the air-liquid interface holds significant potential for applications in microrobotics, non-invasive assembly, and biochemistry analysis. However, achieving simultaneous position and orientation (pose) control of floating objects remains a considerable challenge, particularly for adaptive control without prior modeling of the objects. Here, we introduce the Vision-based Adaptive Laser Gripper (VALG) system addressing these challenges. By leveraging the distributed thermocapillary flow induced by patterned laser scanning, a pose control strategy based on the equidistant contour scanning laser is proposed and validated. The proposed system relies solely on visual recognition to generate adaptive laser grippers, which achieve static equilibrium to simultaneously constrain the position and orientation of the floating objects. Experimental validation demonstrates the effectiveness of the VALG system in independent position and orientation control, coupled pose control, and path following. The VALG system facilitates smooth, precise, fast, and adaptive pose control of generalized floating objects, establishing it as a universal and versatile platform for non-contact manipulation at the air-liquid interface.

Original languageEnglish
Title of host publication2025 IEEE International Conference on Robotics and Automation, ICRA 2025
EditorsChristian Ott, Henny Admoni, Sven Behnke, Stjepan Bogdan, Aude Bolopion, Youngjin Choi, Fanny Ficuciello, Nicholas Gans, Clement Gosselin, Kensuke Harada, Erdal Kayacan, H. Jin Kim, Stefan Leutenegger, Zhe Liu, Perla Maiolino, Lino Marques, Takamitsu Matsubara, Anastasia Mavromatti, Mark Minor, Jason O'Kane, Hae Won Park, Hae-Won Park, Ioannis Rekleitis, Federico Renda, Elisa Ricci, Laurel D. Riek, Lorenzo Sabattini, Shaojie Shen, Yu Sun, Pierre-Brice Wieber, Katsu Yamane, Jingjin Yu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6645-6651
Number of pages7
ISBN (Electronic)9798331541392
DOIs
StatePublished - 2025
Event2025 IEEE International Conference on Robotics and Automation, ICRA 2025 - Atlanta, United States
Duration: 19 May 202523 May 2025

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

Conference2025 IEEE International Conference on Robotics and Automation, ICRA 2025
Country/TerritoryUnited States
CityAtlanta
Period19/05/2523/05/25

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