Frequency-Temporal Disagreement Adaptation for Robotic Terrain Classification via Vibration in a Dynamic Environment

Frequency-Temporal Disagreement Adaptation for Robotic Terrain Classification via Vibration in a Dynamic Environment

The accurate terrain classification in real time is of great importance to an autonomous robot working in field, because the robot could avoid non-geometric hazards, adjust control scheme, or improve localization accuracy, with the aid of terrain classification. In this paper, we investigate the vib...

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Bibliographic Details
Main Authors: Chen Cheng, Ji Chang, Wenjun Lv, Yuping Wu, Kun Li, Zerui Li, Chenhui Yuan, Saifei Ma
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sensors
Subjects:
autonomous robot
non-geometric hazards
terrain classification
dynamic environment
vibration
Online Access:https://www.mdpi.com/1424-8220/20/22/6550

Internet

https://www.mdpi.com/1424-8220/20/22/6550

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