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A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an
  LSTM-based Variational Autoencoder

A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder

2 November 2017
Daehyung Park
Yuuna Hoshi
Charles C. Kemp
    DRL
ArXivPDFHTML

Papers citing "A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder"

50 / 72 papers shown
Title
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion
Unsupervised Anomaly Detection for Autonomous Robots via Mahalanobis SVDD with Audio-IMU Fusion
Yizhuo Yang
Jiulin Zhao
Xinhang Xu
Kun Cao
Shenghai Yuan
Lihua Xie
34
0
0
09 May 2025
Hierarchical Task Decomposition for Execution Monitoring and Error Recovery: Understanding the Rationale Behind Task Demonstrations
Hierarchical Task Decomposition for Execution Monitoring and Error Recovery: Understanding the Rationale Behind Task Demonstrations
Christoph Willibald
Dongheui Lee
49
0
0
07 May 2025
M$^2$AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
M2^22AD: Multi-Sensor Multi-System Anomaly Detection through Global Scoring and Calibrated Thresholding
Sarah Alnegheimish
Zelin He
Matthew Reimherr
Akash Chandrayan
Abhinav Pradhan
Luca DÁngelo
37
0
0
21 Apr 2025
Experience-based Refinement of Task Planning Knowledge in Autonomous Robots
Experience-based Refinement of Task Planning Knowledge in Autonomous Robots
Hadeel Jazzaa
Thomas McCluskey
David Peebles
12
0
0
19 Apr 2025
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
Tianchen Ji
Neeloy Chakraborty
Andre Schreiber
Katherine Rose Driggs-Campbell
197
1
0
23 Feb 2025
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
Qingxiang Liu
Chenghao Liu
Sheng Sun
Di Yao
Keli Zhang
AI4TS
64
0
0
30 Jan 2025
Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis
Enhancing Web Service Anomaly Detection via Fine-grained Multi-modal Association and Frequency Domain Analysis
Xixuan Yang
Xin Huang
Chiming Duan
Tong Jia
Shandong Dong
Ying Li
Gang Huang
59
0
0
28 Jan 2025
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
Zehao Liu
Mengzhou Gao
Pengfei Jiao
CML
AI4TS
53
1
0
23 Jan 2025
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Noise-Resilient Point-wise Anomaly Detection in Time Series Using Weak Segment Labels
Yaxuan Wang
Hao Cheng
Jing Xiong
Qingsong Wen
Han Jia
Ruixuan Song
Li Zhang
Zhaowei Zhu
Yang Liu
AI4TS
58
1
0
21 Jan 2025
TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
Mengxuan Li
Ke Liu
Hongyang Chen
Jiajun Bu
Hongwei Wang
Haishuai Wang
AI4TS
96
1
0
18 Nov 2024
Robust Continuous Motion Strategy Against Muscle Rupture using Online
  Learning of Redundant Intersensory Networks for Musculoskeletal Humanoids
Robust Continuous Motion Strategy Against Muscle Rupture using Online Learning of Redundant Intersensory Networks for Musculoskeletal Humanoids
Kento Kawaharazuka
Manabu Nishiura
Yasunori Toshimitsu
Yusuke Omura
Yuya Koga
Yuki Asano
Koji Kawasaki
Masayuki Inaba
41
13
0
23 Sep 2024
Interpreting Outliers in Time Series Data through Decoding Autoencoder
Interpreting Outliers in Time Series Data through Decoding Autoencoder
Patrick Knab
Sascha Marton
Christian Bartelt
Robert Fuder
29
1
0
03 Sep 2024
Hypergraph Learning based Recommender System for Anomaly Detection,
  Control and Optimization
Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
Sakhinana Sagar Srinivas
Rajat Kumar Sarkar
Venkataramana Runkana
AI4TS
32
2
0
21 Aug 2024
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders
Qichao Shentu
Beibu Li
Kai Zhao
Yang Shu
Zhongwen Rao
Lujia Pan
Bin Yang
Chenjuan Guo
AI4TS
53
5
0
24 May 2024
An Attention-Based Deep Generative Model for Anomaly Detection in
  Industrial Control Systems
An Attention-Based Deep Generative Model for Anomaly Detection in Industrial Control Systems
Mayra Alexandra Macas Carrasco
Chunming Wu
Walter Fuertes
23
1
0
03 May 2024
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with
  Reconstruction Error from Sub-Adjacent Neighborhoods
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent Neighborhoods
Wenzhen Yue
Xianghua Ying
Ruohao Guo
DongDong Chen
Ji Shi
Bowei Xing
Yuqing Zhu
Taiyan Chen
AI4TS
34
3
0
27 Apr 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban
Yiyuan Yang
Geoffrey I. Webb
Charu C. Aggarwal
Qingsong Wen
Shirui Pan
Mahsa Salehi
60
0
0
17 Apr 2024
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
SupplyGraph: A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks
Azmine Toushik Wasi
MD Shafikul Islam
Adipto Raihan Akib
44
3
0
27 Jan 2024
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly
  Detection
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly Detection
Zhijie Zhong
Zhiwen Yu
Yiyuan Yang
Weizheng Wang
Kaixiang Yang
36
6
0
18 Jan 2024
Explainable Time Series Anomaly Detection using Masked Latent Generative
  Modeling
Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling
Daesoo Lee
Sara Malacarne
Erlend Aune
AI4TS
42
9
0
21 Nov 2023
The voraus-AD Dataset for Anomaly Detection in Robot Applications
The voraus-AD Dataset for Anomaly Detection in Robot Applications
Jan Thiess Brockmann
Marco Rudolph
Bodo Rosenhahn
Bastian Wandt
29
11
0
08 Nov 2023
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time
  Series Anomaly Detection
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection
Chaoyue Ding
Shiliang Sun
Jing Zhao
AI4TS
38
140
0
17 Oct 2023
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive
  Anomaly Detection in Field Robot Navigation
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation
Jihun Han
Tianchen Ji
Yoonsang Lee
Katherine Driggs-Campbell
27
3
0
28 Sep 2023
MadSGM: Multivariate Anomaly Detection with Score-based Generative
  Models
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models
Haksoo Lim
Sewon Park
Minjung Kim
Jaehoon Lee
S. Lim
Noseong Park
40
3
0
29 Aug 2023
Bayesian and Neural Inference on LSTM-based Object Recognition from
  Tactile and Kinesthetic Information
Bayesian and Neural Inference on LSTM-based Object Recognition from Tactile and Kinesthetic Information
Francisco Pastor
Jorge García-González
J. Gandarias
D. Medina
Pau Closas
A. García-Cerezo
J. M. G. D. Gabriel
BDL
22
41
0
10 Jun 2023
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate
  Anomaly Detection
AD-NEV: A Scalable Multi-level Neuroevolution Framework for Multivariate Anomaly Detection
Marcin Pietroñ
Dominik Zurek
Kamil Faber
Roberto Corizzo
30
3
0
25 May 2023
Imbalanced Aircraft Data Anomaly Detection
Imbalanced Aircraft Data Anomaly Detection
Hao Yang
Junyuan Gao
Yuan. Yuan
Xuelong Li
AI4TS
19
4
0
17 May 2023
Multimodal Detection and Identification of Robot Manipulation Failures
Multimodal Detection and Identification of Robot Manipulation Failures
A. Inceoğlu
E. Aksoy
Sanem Sariel
25
2
0
08 May 2023
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of
  a Wind Power Dataset
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset
Ahmed Shoyeb Raihan
I. Imtiaz Ahmed
AI4TS
14
8
0
17 Mar 2023
Spacecraft Anomaly Detection with Attention Temporal Convolution Network
Spacecraft Anomaly Detection with Attention Temporal Convolution Network
Liang Liu
Ling Tian
Zhao Kang
Tianqi Wan
AI4TS
38
28
0
13 Mar 2023
Learning Representation for Anomaly Detection of Vehicle Trajectories
Learning Representation for Anomaly Detection of Vehicle Trajectories
Ruochen Jiao
Juyang Bai
Xiangguo Liu
Takami Sato
Xiao-Fang Yuan
Qi Alfred Chen
Qiuhan Zhu
AI4TS
AAML
35
14
0
09 Mar 2023
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly
  Detection in Time Series
Navigating the Metric Maze: A Taxonomy of Evaluation Metrics for Anomaly Detection in Time Series
Sondre Sørbø
M. Ruocco
AI4TS
34
19
0
02 Mar 2023
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly
  Detection in Multivariate Time Series
BSSAD: Towards A Novel Bayesian State-Space Approach for Anomaly Detection in Multivariate Time Series
Usman Anjum
Samuel Lin
J. Zhan
AI4TS
15
0
0
30 Jan 2023
Structural Attention-Based Recurrent Variational Autoencoder for Highway
  Vehicle Anomaly Detection
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
Neeloy Chakraborty
Aamir Hasan
Shuijing Liu
Tianchen Ji
Weihang Liang
D. L. McPherson
Katherine Driggs-Campbell
37
11
0
09 Jan 2023
AER: Auto-Encoder with Regression for Time Series Anomaly Detection
AER: Auto-Encoder with Regression for Time Series Anomaly Detection
Lawrence Wong
Dongyu Liu
Laure Berti-Equille
Sarah Alnegheimish
K. Veeramachaneni
AI4TS
19
18
0
27 Dec 2022
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method
  Based on an Autoencoder in Wireless Sensor Networks
A Novel Self-Supervised Learning-Based Anomaly Node Detection Method Based on an Autoencoder in Wireless Sensor Networks
Miao Ye
Qinghao Zhang
Xingsi Xue
Yong Wang
Qiuxiang Jiang
Hongbing Qiu
13
0
0
26 Dec 2022
TFAD: A Decomposition Time Series Anomaly Detection Architecture with
  Time-Frequency Analysis
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency Analysis
Chaoli Zhang
Tian Zhou
Qingsong Wen
Liang Sun
AI4TS
32
66
0
18 Oct 2022
Representation Learning Strategies to Model Pathological Speech: Effect
  of Multiple Spectral Resolutions
Representation Learning Strategies to Model Pathological Speech: Effect of Multiple Spectral Resolutions
Gabriel F. Miller
Juan Camilo Vásquez-Correa
J. Orozco-Arroyave
Elmar Nöth
11
2
0
17 Sep 2022
Robust Learning of Deep Time Series Anomaly Detection Models with
  Contaminated Training Data
Robust Learning of Deep Time Series Anomaly Detection Models with Contaminated Training Data
Wenkai Li
Cheng Feng
Tingling Chen
Jun Zhu
AAML
AI4TS
37
6
0
03 Aug 2022
AI Augmented Edge and Fog Computing: Trends and Challenges
AI Augmented Edge and Fog Computing: Trends and Challenges
Shreshth Tuli
Fatemeh Mirhakimi
Samodha Pallewatta
Syed Zawad
G. Casale
B. Javadi
Feng Yan
Rajkumar Buyya
N. Jennings
23
56
0
01 Aug 2022
Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted
  Feeding in Groups
Human-Robot Commensality: Bite Timing Prediction for Robot-Assisted Feeding in Groups
Jan Ondras
Abrar Anwar
Tong Wu
Fanjun Bu
Malte Jung
Jorge Ortiz
T. Bhattacharjee
29
13
0
07 Jul 2022
Multivariate Time Series Anomaly Detection with Few Positive Samples
Multivariate Time Series Anomaly Detection with Few Positive Samples
Feng Xue
Weizhong Yan
AI4TS
21
3
0
02 Jul 2022
A Causal Approach to Detecting Multivariate Time-series Anomalies and
  Root Causes
A Causal Approach to Detecting Multivariate Time-series Anomalies and Root Causes
Wenzhuo Yang
Kun Zhang
Guosheng Lin
AI4TS
CML
31
9
0
30 Jun 2022
Anomaly Detection for Multivariate Time Series on Large-scale Fluid
  Handling Plant Using Two-stage Autoencoder
Anomaly Detection for Multivariate Time Series on Large-scale Fluid Handling Plant Using Two-stage Autoencoder
S. Naito
Yasunori Taguchi
Kouta Nakata
Yuichi Kato
AI4TS
19
5
0
20 May 2022
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via
  Latent Predictive Coding
LPC-AD: Fast and Accurate Multivariate Time Series Anomaly Detection via Latent Predictive Coding
Zhi Qi
Hong Xie
Ye Li
Jian Tan
Feifei Li
John C. S. Lui
AI4TS
16
1
0
05 May 2022
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time
  Series Data
LSTM-Autoencoder based Anomaly Detection for Indoor Air Quality Time Series Data
Yuanyuan Wei
Julian Jang-Jaccard
Wen Xu
Fariza Sabrina
S. Çamtepe
M. Boulic
21
123
0
14 Apr 2022
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly
  Detection?
Do Deep Neural Networks Contribute to Multivariate Time Series Anomaly Detection?
Julien Audibert
Pietro Michiardi
F. Guyard
Sébastien Marti
Maria A. Zuluaga
AI4TS
24
55
0
04 Apr 2022
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor
  Fusion
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
Tianchen Ji
A. N. Sivakumar
Girish Chowdhary
Katherine Driggs-Campbell
AAML
22
49
0
03 Apr 2022
TiSAT: Time Series Anomaly Transformer
TiSAT: Time Series Anomaly Transformer
Keval Doshi
Shatha Abudalou
Yasin Yılmaz
AI4TS
32
16
0
10 Mar 2022
Characterization of a Meso-Scale Wearable Robot for Bathing Assistance
Characterization of a Meso-Scale Wearable Robot for Bathing Assistance
Fukang Liu
Vaidehi Patil
Zackory M. Erickson
F. Z. Temel
6
5
0
25 Feb 2022
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