A Minimally Supervised Approach Based on Variational Autoencoders for Anomaly Detection in Autonomous Robots

2021 ◽  
Vol 6 (2) ◽  
pp. 2985-2992
Author(s):  
Davide Azzalini ◽  
Luca Bonali ◽  
Francesco Amigoni
Keyword(s):  
Anomaly Detection ◽  
Autonomous Robots ◽  
Minimally Supervised

Online data-driven anomaly detection in autonomous robots

2014 ◽  
Vol 43 (3) ◽  
pp. 657-688 ◽  
Author(s):  
Eliahu Khalastchi ◽  
Meir Kalech ◽  
Gal A. Kaminka ◽  
Raz Lin
Keyword(s):  
Anomaly Detection ◽  
Autonomous Robots ◽  
Data Driven ◽  
Online Data

Anomaly Detection in Sensor Data

2018 ◽  
Vol 18 (1) ◽  
pp. 20-32 ◽  
Author(s):  
Jong-Min Kim ◽  
Jaiwook Baik
Keyword(s):  
Anomaly Detection ◽  
Sensor Data

An Anomaly Detection Method with Exemplar Subsequence for Time Series Data

2016 ◽  
Vol 136 (3) ◽  
pp. 363-372
Author(s):  
Takaaki Nakamura ◽  
Makoto Imamura ◽  
Masashi Tatedoko ◽  
Norio Hirai
Keyword(s):  
Time Series ◽  
Anomaly Detection ◽  
Time Series Data ◽  
Detection Method ◽  
Series Data

Proposal of the Anomaly Detection Method of Live-alone by LOF using Multiple Sensors

2015 ◽  
Vol 135 (12) ◽  
pp. 749-755
Author(s):  
Taiyo Matsumura ◽  
Ippei Kamihira ◽  
Katsuma Ito ◽  
Takashi Ono
Keyword(s):  
Anomaly Detection ◽  
Detection Method ◽  
Multiple Sensors
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