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...

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Bibliographic Details
Main Authors: Daoling Qin, Guoteng Zhang, Zhengguo Zhu, Xianwu Zeng, Jingxuan Cao
Format: Article
Language:English
Published: Elsevier 2023-06-01
Series:Biomimetic Intelligence and Robotics
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2667379723000050