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Force-velocity coupling limits human adaptation in physical human–robot interaction
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  • Published: 16 January 2026

Force-velocity coupling limits human adaptation in physical human–robot interaction

  • Mahdiar Edraki1,
  • Hélène Serré2,
  • Pauline Maurice3 &
  • …
  • Dagmar Sternad2,4 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Biomedical engineering
  • Motor control

Abstract

In physical human–robot interaction, both humans and robots need to adapt to ensure synergetic behavior. This study investigated how humans respond to robots moving with different velocity profiles. In unconstrained human movements, velocity scales with the trajectory’s curvature, i.e., moving fast at linear segments while slowing down at curved segments. Two experiments examined humans tracking a robot that traced an elliptic path with different velocity profiles, while instructed to minimize interaction forces. Results showed involuntary forces were higher when the robot moved with constant velocity or exaggerated the biological velocity-curvature scaling. Specifically, higher angular velocities in the robot were associated with greater tangential and normal forces. Experiment 1 tested whether biomechanical constraints caused these forces by reversing movement direction, but observed differences were small. Experiment 2 explored human adaptation across three practice sessions and found that interaction forces decreased for non-biological profiles only when real-time visual feedback was provided. The force-velocity modulations weakened, indicating that humans learned to predict and compensate for inertial forces. These findings highlight the need to consider human motor limitations and learning processes in physical interaction. The results have practical implications for collaborative and wearable robots where physical contact and coordination between humans and robots are critical.

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Data availability

Data sets generated during the current study are available from the corresponding author on reasonable request.

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Funding

This study was supported in part by the NIH-R37-HD087089 and NIH-R01-CRCNS-NS120579 grants awarded to D.S., and P.M. was supported by ANR-20-CE33-004.

Author information

Authors and Affiliations

  1. Department of Mechanical and Industrial Engineering, Northeastern University, Boston, USA

    Mahdiar Edraki

  2. Department of Biology, Northeastern University, Boston, USA

    Hélène Serré & Dagmar Sternad

  3. Université de Lorraine, CNRS, Inria, LORIA, Nancy, 54000, France

    Pauline Maurice

  4. Departments of Electrical and Computer Engineering, and Physics, Institute for Experiential Robotics, Northeastern University, Boston, USA

    Dagmar Sternad

Authors
  1. Mahdiar Edraki
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  2. Hélène Serré
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  3. Pauline Maurice
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  4. Dagmar Sternad
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Contributions

M.E., P.M., and D.S. contributed to the conception of the work and the design of the study; M.E. generated the data, prepared the figures, and drafted the manuscript. M.E. and H.S. analyzed the data. H.S., P.M., and D.S. contributed to the analysis and visualization. M.E., P.M., and D.S. finalized the writing of the manuscript. P.M. and D.S. secured research funding. M.E., H.S., P.M., and D.S. approved the manuscript.

Corresponding author

Correspondence to Mahdiar Edraki.

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The authors declare no competing interests.

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Edraki, M., Serré, H., Maurice, P. et al. Force-velocity coupling limits human adaptation in physical human–robot interaction. Sci Rep (2026). https://doi.org/10.1038/s41598-025-34959-4

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  • Received: 04 June 2025

  • Accepted: 31 December 2025

  • Published: 16 January 2026

  • DOI: https://doi.org/10.1038/s41598-025-34959-4

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