Abstract

In this work, we present a demonstration of gesture-based telemanipulation of a quadruped robot using surface electromyography (sEMG) signals. sEMG signals acquired through two differential channels of electrodes placed on lower forearm of a subject are used to control a customized version of the Stanford Pupper quadruped robot. The architecture chosen for encoding the hand gestures to type of motion results in perfect accuracy of executing the desired motion, with an average delay of 0.3s upon receiving the command.

Keywords:
Electromyography Robot Computer science Physical medicine and rehabilitation Artificial intelligence Psychology Neuroscience Medicine

Metrics

1
Cited By
0.37
FWCI (Field Weighted Citation Impact)
8
Refs
0.45
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotic Locomotion and Control
Physical Sciences →  Engineering →  Biomedical Engineering
Robotics and Automated Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Robot Manipulation and Learning
Physical Sciences →  Engineering →  Control and Systems Engineering

Related Documents

BOOK-CHAPTER

Electromyography (EMG)

Matthias Göbel

Year: 2004 Pages: 217-226
BOOK-CHAPTER

Electromyography (EMG)

John A. Jarratt

Cambridge University Press eBooks Year: 2023 Pages: 29-44
BOOK-CHAPTER

Electromyography (EMG)

Steven J. Shook

Encyclopedia of the Neurological Sciences Year: 2014 Pages: 440-447
BOOK-CHAPTER

Electromyography (EMG)

Asa J. Wilbourn

Encyclopedia of the Neurological Sciences Year: 2003 Pages: 98-106
© 2026 ScienceGate Book Chapters — All rights reserved.