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    Home»Technology»Scientists Found the Sweet Spot That Makes Robot Arms Feel Human
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    Scientists Found the Sweet Spot That Makes Robot Arms Feel Human

    By Toyohashi University of Technology (TUT)February 17, 20261 Comment5 Mins Read
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    Autonomous Prosthetic Arm
    In virtual reality, participants embodied an avatar whose left forearm was replaced by an autonomous prosthetic arm that flexed toward a target at different movement speeds. Credit: Copyright (c) Toyohashi University of Technology. All Rights Reserved.

    As AI-powered prosthetic arms become more advanced, a surprising detail could determine whether they truly feel like part of the body: how fast they move.

    As artificial intelligence-powered prosthetic arms become more common, one key question stands out: Will people truly feel that these devices are part of their bodies? To explore this, researchers used virtual reality to create the illusion that a participant’s biological arm had been replaced with a robotic prosthetic. They then tested how the speed of the prosthetic’s movements influenced embodiment. This included feelings of body ownership, sense of agency, usability, and social perceptions such as competence and discomfort.

    The results showed a clear pattern. When the robotic arm moved too quickly or too slowly, participants felt less connected to it and rated it as less usable. But when the arm moved at a moderate pace similar to a natural human reach, taking about one second to complete the motion, participants reported the strongest sense that it felt like their own arm.

    From User Controlled Devices to Autonomous AI Prosthetics

    For people who lose a hand or arm, prosthetic limbs are essential tools that restore independence in daily life. Much of the existing research has focused on improving how accurately these devices respond to a user’s intentions. This often involves translating biological signals such as electromyography (EMG) and electroencephalography (EEG) into movement.

    At the same time, advances in machine learning and AI are opening the door to prosthetic limbs that can act on their own. Future systems may assess a situation and provide support through autonomous or semi-autonomous movement. However, when a limb moves independently, users may experience it as “unsettling” or “not part of my body.” That reaction poses a significant obstacle to widespread acceptance.

    Autonomous Prosthetic Arm Experimental Setup
    A physical pole was placed in front of the participant and matched in VR to prevent direct reaching and to ensure that target acquisition relied on the prosthetic arm flexion. Credit: Copyright (c) Toyohashi University of Technology. All Rights Reserved.

    Virtual Reality Study on Movement Speed and Embodiment

    Previous studies have suggested that people are more comfortable with autonomous movement when they understand the intention behind it. Building on this idea, Harin Manujaya Hapuarachchi and colleagues (Hapuarachchi was a doctoral student at the time of the study and is now an Assistant Professor in the School of Informatics at Kochi University of Technology) investigated whether movement speed itself influences acceptance.

    Using virtual reality, the team presented participants with an avatar whose left forearm had been replaced by a prosthetic limb. Participants performed a reaching task while the virtual prosthetic arm moved automatically toward a target. The researchers varied how long the motion took across six different durations (125 ms to 4 s). After each condition, participants evaluated their sense of body ownership, control, usability (SUS), and their impressions of the robotic arm using a standardized scale (RoSAS: competence, warmth, and discomfort).

    The One Second Sweet Spot

    The findings were consistent:

    • When the prosthetic moved at a moderate speed (movement duration of 1 s), ratings of body ownership, sense of agency, and usability were highest.
    • When the movement was extremely fast (125 ms) or very slow (4 s), those ratings dropped significantly.
    • Participants perceived greater competence at moderate to slightly faster speeds, while discomfort peaked in the fastest condition. Warmth did not clearly change based on speed.

    These results suggest that simply making prosthetic arms faster and more precise is not enough. For AI-enabled prostheses that provide autonomous assistance, designers must consider movement timing that aligns with what the human brain naturally expects from a limb.

    Implications for Robotic Body Augmentation

    The implications extend beyond prosthetic arms. Other technologies that function as extensions of the body, including supernumerary robotic limbs, exoskeletons, and wearable robots, may also benefit from movement patterns that mirror natural human timing.

    Researchers also plan to explore how long-term use affects perception. People often come to experience familiar tools as if they are part of their bodies. With continued daily use, even a fast and highly capable robotic limb could begin to feel “normal,” easier to operate, and more fully integrated into a person’s body image.

    Virtual reality remains an important research tool in this process. It allows scientists to safely test emerging prosthetic technologies and control methods that are not yet widely available. This approach helps evaluate psychological responses, user acceptance, and design considerations before such devices are introduced into everyday life.

    Reference: “Movement speed of an autonomous prosthetic limb shapes embodiment, usability and robotic social attributes in virtual reality” by Harin Hapuarachchi, Yasuyuki Inoue, Hiroaki Shigemasu and Michiteru Kitazaki, 7 February 2026, Scientific Reports.
    DOI: 10.1038/s41598-026-38977-8

    This research was supported by JSPS KAKENHI (JP22KK0158), the Murata Science and Education Foundation, JST (JPMJFS121), and MEXT (202334Z302).

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    1 Comment

    1. Eric M. Jones on February 18, 2026 6:53 am

      Am I the only person who has read a book? Jacob Rabinow, polymath and inventor-extraordinaire was wondering how cats’ movements could be so graceful. He was interested in programming robot actuators to smooth their jerky motion and was puzzled that there did not seem to be a simple way to code smooth robot and machine motion unless everything was slowed down to a crawl. One night it occurred to him that graceful motion implied that the basic equation of motion, along with its first-, second-, and third-order derivatives (the distance, the velocity, the acceleration and the impulse [rate-of-change of acceleration]) simultaneously approached zero. Ah, the ultimate equation of grace in every cat movement ….

      Reply
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