An online terrain classification framework for legged robots based on acoustic signals
Terrain classification information is of great significance for legged robots to traverse various terrains. Therefore, this communication presents an online terrain classification framework for legged robots, utilizing the acoustic signals produced during locomotion. The Mel-Frequency Cepstral Coeff...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-06-01
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Series: | Biomimetic Intelligence and Robotics |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2667379723000050 |