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Selecting haptic guidance models in teleoperation: guidelines from a comparative user study

Summary

This study compares three haptic guidance models—spring-damper, potential field, and guiding tube—in teleoperation tasks. No universal best model is found: spring-damper excels in cluttered environments, potential field works well in free space but risks near obstacles, and guiding tube offers a balanced compromise. New objective metrics are proposed, showing that guiding force magnitude correlates with comfort and trust scores.

SourcearXiv RoboticsAuthor: Alexis Boulay (AUCTUS), Margot Vulliez (AUCTUS), David Daney (AUCTUS)
Selecting haptic guidance models in teleoperation: guidelines from a comparative user study
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[2606.04157] Selecting haptic guidance models in teleoperation: guidelines from a comparative user study

[Submitted on 2 Jun 2026]

Title:Selecting haptic guidance models in teleoperation: guidelines from a comparative user study

View a PDF of the paper titled Selecting haptic guidance models in teleoperation: guidelines from a comparative user study, by Alexis Boulay (AUCTUS) and 2 other authors

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Abstract:Haptic guidance in teleoperation enhances operator performance through force feedback. This paper presents guidelines to select the most appropriate model considering the task, the environment and the operator. We define a unified formulation expressing most common models (spring-damper, potential field, and guiding tube) as variations of a stiffness-damping system with model-specific guiding functions. We conducted a user study comparing the three classical models across six scenarios with varying environmental conditions in a vertical farming task. Results show no universally superior model: spring-damper excels in cluttered environments, potential field in free spaces (but it shows risks near obstacles), and guiding tube offers a balanced compromise. We propose novel objective metrics to evaluate the interaction, and show that guiding force magnitude correlates with comfort and trust scores. These findings provide practical model selection guidelines through environmental characteristics and real-time evaluation metrics.

Comments: EUROHAPTICS 2026 - EuroHaptics International Conference, Jul 2026, Sienna, Italy

Subjects:

Robotics (cs.RO)

Cite as: arXiv:2606.04157 [cs.RO]

(or arXiv:2606.04157v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2606.04157

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Alexis Boulay [view email] [via CCSD proxy] [v1] Tue, 2 Jun 2026 19:22:10 UTC (17,617 KB)

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Key points

  • Compared three classic haptic guidance models across six scenarios in a vertical farming task.
  • Spring-damper performs best in cluttered environments; potential field is effective in free space but risky near obstacles; guiding tube provides balanced performance.
  • Proposed novel objective metrics for interaction evaluation; guiding force magnitude correlates with operator comfort and trust.
  • Offers practical model selection guidelines based on environmental characteristics and real-time metrics.

Highlights and analysis are generated automatically and may contain errors. Check the original source.