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Related Experiment Video

Updated: Sep 15, 2025

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans

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Published on: January 15, 2018

Partial adaptation to surface movement during hand reaching.

Priscilla Balestrucci¹, Matteo Bianchi^2,3, Colleen P Ryan^1,4

¹Laboratory of Neuromotor Physiology, Santa Lucia Foundation IRCCS, Rome, Italy.

Journal of Neurophysiology

|July 17, 2025

Summary

This summary is machine-generated.

Humans adapt motor control to environmental changes, but struggle when assumptions like stationary objects are violated. Limited adaptation to moving surfaces occurred, especially without visual feedback, impacting somatosensory system understanding.

Keywords:

adaptation haptics reaching touch

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Last Updated: Sep 15, 2025

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Published on: January 15, 2018

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Published on: April 21, 2023

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Area of Science:

Neuroscience
Human motor control
Robotics

Background:

Humans possess remarkable adaptability in motor control across diverse environmental conditions.
Persistent residual errors arise when ingrained assumptions about environmental regularities are challenged.

Purpose of the Study:

To investigate the limits of human motor adaptation to unexpected motion perturbations.
To examine the role of visual feedback in adapting to a moving contact surface.

Main Methods:

Utilized a robotic interface to induce motion perturbation by sliding a plate under participants' fingers during reaching tasks.
Assessed adaptation and explicit knowledge of surface motion with and without visual feedback of hand position.

Main Results:

Limited adaptation was observed following prolonged exposure to the moving surface.
Adaptation was more pronounced when visual feedback of hand position was available.
Participants demonstrated awareness of the surface motion but possessed limited explicit directional knowledge.

Conclusions:

The somatosensory system exhibits constraints in adapting to motion perturbations, particularly when violating the assumption of stationary objects.
Visual feedback significantly influences adaptation to unexpected surface motion.
Findings inform the design of haptic interfaces and collaborative robots requiring interaction with dynamic environments.