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Related Experiment Video

Updated: Jun 5, 2025

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

The Modular Design and Production of an Intelligent Robot Based on a Closed-Loop Control Strategy

Published on: October 14, 2017

Teleoperation system for multiple robots with intuitive hand recognition interface.

Lucas Alexandre Zick¹, Dieisson Martinelli^2,3, André Schneider de Oliveira³

¹Graduate Program in Electrical and Computer Engineering, Universidade Tecnolágica Federal do Paraná (UTFPR), Curitiba, 80230-901, Brazil. zick@alunos.utfpr.edu.br.

Scientific Reports

|December 5, 2024

Summary

This summary is machine-generated.

This study introduces AutoNav, a robotic teleoperation system using hand gestures for intuitive control of multiple robots. It significantly reduces execution time and collisions, enhancing safety in hazardous environments.

Keywords:

Autonomous navigation Human–robot Multi-robots ROS Teleoperation

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Last Updated: Jun 5, 2025

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SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

SSVEP-based Experimental Procedure for Brain-Robot Interaction with Humanoid Robots

Published on: November 24, 2015

Area of Science:

Robotics
Human-Computer Interaction
Computer Vision

Background:

Teleoperation is crucial for hazardous environments but faces challenges in multi-robot control.
Intuitive human-machine interaction is key for efficient multi-robot system management.

Purpose of the Study:

To demonstrate the AutoNav robotic teleoperation system for multi-robot control.
To utilize hand gestures and autonomous navigation for enhanced human-machine interaction.

Main Methods:

Integrated MediaPipe for hand gesture recognition via USB camera.
Developed the system using Robot Operating System (ROS) in a simulated Gazebo environment with TurtleBot 3 robots.
Employed computer vision for gesture interpretation and autonomous navigation.

Main Results:

Reduced teleoperation execution time by approximately 50%.
Increased operator free time to 94% of total execution time.
Decreased collision incidents during multi-robot operation.

Conclusions:

The AutoNav system proves effective and practical for multi-robot teleoperation.
Hand gesture control enhances efficiency and safety in complex robotic tasks.
This research advances human-machine interaction in advanced robotics.