Skip to content
A list of anomaly detection and classification papers for robotics and the other area
Branch: master
Clone or download
Fetching latest commit…
Cannot retrieve the latest commit at this time.
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
README.md

README.md

(Multimodal) anomaly detection/classification

Here are a list of recent (multimodal) anomaly detection/classification resources. I particularly focused on the methods for time-series data. Let me know if you want to add any relevant papers in this list. Currently, there is no selection criteria.

Table of Contents

Papers

2018

  • Multimodal anomaly detection for assistive robots, D. Park et al. [[pdf]]
  • A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder, D. Park et al. [pdf]

2017

  • A Multimodal Execution Monitor with Anomaly Classification for Robot-Assisted Feeding (2017), D. Park et al. [pdf]
  • A study of deep convolutional auto-encoders for anomaly detection in videos, Ribeiro et al. [pdf]

2016

  • Multimodal Execution Monitoring for Anomaly Detection During Robot Manipulation (2016), D. Park et al. [pdf]
  • Variational inference for on-line anomaly detection in high-dimensional time series, M. S ̈olch et al. [pdf]
  • Lstm-based encoder-decoder for multi-sensor anomaly detection, Malhotra et al. [pdf]

2015

  • Variational autoencoder based anomaly detection using reconstruction probability, An and Cho [pdf]
  • Long short term memory networks for anomaly detection in time series, Malhotra et al. [pdf]
  • Anomaly detection in ecg time signals via deep long short-term memory networks, Chauhan and Vig [pdf]
  • Estimating joint movements from observed emg signals with multiple electrodes under sensor failure situations toward safe assistive robot control, Furukawa et al. [pdf]
  • Data-driven online decision making for autonomous manipulation, Kappler et al. [pdf]

Blog

Multimodality

Software

License

CC0

To the extent possible under law, Daehyung Park has waived all copyright and related or neighboring rights to this work.

You can’t perform that action at this time.