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A Natural Human-Robot Interaction System for Teleoperation Based on Noncontact Haptic Feedback

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

Abstract

In order to provide natural and immersive interactive experience for teleoperation in the context of human-robot collaboration and interaction, this work introduces a natural human-robot interaction system for teleoperation based on ultrasonic haptic feedback. Specifically, our system can accurately capture an operator's hand movements and replicate these actions on the remote robot with low latency and high fidelity. It utilizes an ultrasonic phased array to achieve non-contact haptic feedback. We propose a dynamic ultrasonic array acoustic field customization method based on interactive feature information image. This method can dynamically adjust the acoustic field according to the operator's hand characteristics, focus on multiple target points in real time, and project them onto an operator's fingertips, thereby providing force-controllable non-contact haptic feedback to the operator. The operator is integrated into the feedback loop of our system, controlling the system through multimodal feedback to form a high-quality human-in-the-loop closed control system. The system's performance is validated in two classic robotic tasks: block pick-and-place and nut-tightening. The experimental results show that the system exhibits excellent accuracy and dexterity, and can efficiently complete tasks with high accuracy while providing great interactive experience for operators.

Original languageEnglish (US)
Title of host publicationIROS 2025 - 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, Conference Proceedings
EditorsChristian Laugier, Alessandro Renzaglia, Nikolay Atanasov, Stan Birchfield, Grzegorz Cielniak, Leonardo De Mattos, Laura Fiorini, Philippe Giguere, Kenji Hashimoto, Javier Ibanez-Guzman, Tetsushi Kamegawa, Jinoh Lee, Giuseppe Loianno, Kevin Luck, Hisataka Maruyama, Philippe Martinet, Hadi Moradi, Urbano Nunes, Julien Pettre, Alberto Pretto, Tommaso Ranzani, Arne Ronnau, Silvia Rossi, Elliott Rouse, Fabio Ruggiero, Olivier Simonin, Danwei Wang, Ming Yang, Eiichi Yoshida, Huijing Zhao
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages8533-8538
Number of pages6
ISBN (Electronic)9798331543938
DOIs
StatePublished - 2025
Event2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025 - Hangzhou, China
Duration: Oct 19 2025Oct 25 2025

Publication series

NameIEEE International Conference on Intelligent Robots and Systems
ISSN (Print)2153-0858
ISSN (Electronic)2153-0866

Conference

Conference2025 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2025
Country/TerritoryChina
CityHangzhou
Period10/19/2510/25/25

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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