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Robotic arm control by augmented reality-assisted object detection.

Joung-Woo Hyung¹, Woochan Na², Kanghee Won³

¹Department of Brain and Cognitive Engineering, Korea University, Seoul, 02841, Korea.

Scientific Reports

|October 13, 2025

Summary

This summary is machine-generated.

This study introduces a novel robotic arm control system for individuals with severe motor impairments. The system utilizes augmented reality and eye tracking, eliminating the need for physical input devices.

Keywords:

Augmented reality Object detection Robotic arm

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Area of Science:

Robotics
Human-Computer Interaction
Assistive Technology

Background:

Existing robotic arm control systems often require physical input devices.
These devices pose challenges for patients with severe motor impairments.

Purpose of the Study:

To develop an accessible robotic arm control system for patients with motor impairments.
To overcome the limitations of traditional physical input devices.

Main Methods:

The proposed system integrates augmented reality and object detection.
It enables robotic arm control solely through eye tracking.
The system automatically configures paths between the robotic arm and target objects.

Main Results:

Precise object localization was achieved.
An intuitive gaze-based interface was implemented.
The system demonstrated a user-friendly alternative to conventional methods.

Conclusions:

The novel eye-tracking robotic arm control system offers significant advantages for patients with motor impairments.
This technology provides a more accessible and intuitive solution compared to existing methods.