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Article

Haptic Guidance System for Teleoperation Based on Trajectory Similarity

1
Haptics Laboratory, Faculty of Fiber Science and Engineering, Kyoto Institute of Technology, Kyoto 606-8585, Japan
2
Department of Mechanical Engineering, Kobe University, Hyogo 657-8501, Japan
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Robotics 2025, 14(2), 15; https://doi.org/10.3390/robotics14020015
Submission received: 10 December 2024 / Revised: 15 January 2025 / Accepted: 28 January 2025 / Published: 30 January 2025
(This article belongs to the Special Issue Robot Teleoperation Integrating with Augmented Reality)

Abstract

Teleoperation technology enables remote control of machines, but often requires complex manoeuvres that pose significant challenges for operators. To mitigate these challenges, assistive systems have been developed to support teleoperation. This study presents a teleoperation guidance system that provides assistive force feedback to help operators align more accurately with desired trajectories. Two key issues remain: (1) the lack of a flexible, real-time approach to defining desired trajectories and calculating assistive forces, and (2) uncertainty about the effects of forward motion assistance within the assistive forces. To address these issues, we propose a novel approach that captures the posture trajectory of the local control interface, statistically generates a reference trajectory, and incorporates forward motion as an adjustable parameter. In Experiment 1, which involved simulating an object transfer task, the proposed method significantly reduced the operator’s workload compared to conventional techniques, especially in dynamic target scenarios. Experiment 2, which involved more complex paths, showed that assistive forces with forward assistance significantly improved manoeuvring performance.
Keywords: teleoperation; human interface; force display; haptic display; learning from demonstration; task performance teleoperation; human interface; force display; haptic display; learning from demonstration; task performance

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MDPI and ACS Style

Nagano, H.; Nishino, T.; Tazaki, Y.; Yokokohji, Y. Haptic Guidance System for Teleoperation Based on Trajectory Similarity. Robotics 2025, 14, 15. https://doi.org/10.3390/robotics14020015

AMA Style

Nagano H, Nishino T, Tazaki Y, Yokokohji Y. Haptic Guidance System for Teleoperation Based on Trajectory Similarity. Robotics. 2025; 14(2):15. https://doi.org/10.3390/robotics14020015

Chicago/Turabian Style

Nagano, Hikaru, Tomoki Nishino, Yuichi Tazaki, and Yasuyoshi Yokokohji. 2025. "Haptic Guidance System for Teleoperation Based on Trajectory Similarity" Robotics 14, no. 2: 15. https://doi.org/10.3390/robotics14020015

APA Style

Nagano, H., Nishino, T., Tazaki, Y., & Yokokohji, Y. (2025). Haptic Guidance System for Teleoperation Based on Trajectory Similarity. Robotics, 14(2), 15. https://doi.org/10.3390/robotics14020015

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