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2012.08637
Cited By
Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments
Conference on Robot Learning (CoRL), 2020
15 December 2020
Tianchen Ji
S. Vuppala
Girish Chowdhary
Katherine Driggs-Campbell
DRL
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Papers citing
"Multi-Modal Anomaly Detection for Unstructured and Uncertain Environments"
19 / 19 papers shown
A Counterfactual Reasoning Framework for Fault Diagnosis in Robot Perception Systems
Haeyoon Han
Mahdi Taheri
Soon-Jo Chung
F. Hadaegh
148
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22 Sep 2025
Uncertainty-Weighted Image-Event Multimodal Fusion for Video Anomaly Detection
SungHeon Jeong
Jihong Park
Mohsen Imani
519
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0
05 May 2025
An Expert Ensemble for Detecting Anomalous Scenes, Interactions, and Behaviors in Autonomous Driving
Tianchen Ji
Neeloy Chakraborty
Andre Schreiber
Katherine Rose Driggs-Campbell
1.2K
4
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23 Feb 2025
SEMF: Supervised Expectation-Maximization Framework for Predicting Intervals
Ilia Azizi
M. Boldi
V. Chavez-Demoulin
674
1
0
28 May 2024
A Survey on Safe Multi-Modal Learning System
Tianyi Zhao
Liangliang Zhang
Yao Ma
Lu Cheng
735
24
0
08 Feb 2024
An Attentional Recurrent Neural Network for Occlusion-Aware Proactive Anomaly Detection in Field Robot Navigation
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Jihun Han
Tianchen Ji
Yoonsang Lee
Katherine Driggs-Campbell
233
4
0
28 Sep 2023
Autoencoding a Soft Touch to Learn Grasping from On-land to Underwater
Advanced Intelligent Systems (Adv. Intell. Syst.), 2023
Ning Guo
Xudong Han
Xiaobo Liu
Shuqiao Zhong
Zhiyuan Zhou
Jian Lin
Jiansheng Dai
Fang Wan
Chaoyang Song
131
12
0
16 Aug 2023
General-Purpose Multi-Modal OOD Detection Framework
Viet Duong
Qiong Wu
Zhengyi Zhou
Eric Zavesky
Jiahe Chen
Xiangzhou Liu
Wen-Ling Hsu
Huajie Shao
OODD
299
2
0
24 Jul 2023
Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception
Junwon Seo
Jungwi Mun
Taekyung Kim
230
7
0
26 Jun 2023
Learning Off-Road Terrain Traversability with Self-Supervisions Only
IEEE Robotics and Automation Letters (RA-L), 2023
Junwon Seo
Sungdae Sim
Inwook Shim
SSL
344
63
0
30 May 2023
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
Adaptive Agents and Multi-Agent Systems (AAMAS), 2023
Neeloy Chakraborty
Aamir Hasan
Shuijing Liu
Tianchen Ji
Weihang Liang
D. L. McPherson
Katherine Driggs-Campbell
351
15
0
09 Jan 2023
Doc2Bot: Accessing Heterogeneous Documents via Conversational Bots
A. Sathyamoorthy
Yeqin Zhang
K. Weerakoon
Tianrui Guan
Jing Liang
Luo Si
Tianyi Zhou
Cam-Tu Nguyen
338
44
0
20 Oct 2022
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
IEEE Robotics and Automation Letters (RA-L), 2022
Junwon Seo
Taekyung Kim
K. Kwak
Jihong Min
Inwook Shim
271
51
0
14 Sep 2022
GrASPE: Graph based Multimodal Fusion for Robot Navigation in Unstructured Outdoor Environments
IEEE Robotics and Automation Letters (RA-L), 2022
K. Weerakoon
A. Sathyamoorthy
Jing Liang
Tianrui Guan
Utsav Patel
Dinesh Manocha
511
78
0
13 Sep 2022
Examining Audio Communication Mechanisms for Supervising Fleets of Agricultural Robots
IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), 2022
Abhishek Kamboj
Tianchen Ji
Katie Driggs-Campbell
305
3
0
22 Aug 2022
Traversing Supervisor Problem: An Approximately Optimal Approach to Multi-Robot Assistance
Tianchen Ji
Roy Dong
Katherine Driggs-Campbell
149
10
0
03 May 2022
Anomaly Detection in Autonomous Driving: A Survey
Daniel Bogdoll
Maximilian Nitsche
J. Marius Zöllner
253
180
0
17 Apr 2022
Proactive Anomaly Detection for Robot Navigation with Multi-Sensor Fusion
IEEE Robotics and Automation Letters (RA-L), 2022
Tianchen Ji
A. N. Sivakumar
Girish Chowdhary
Katherine Driggs-Campbell
AAML
207
68
0
03 Apr 2022
Anomaly Detection in Multi-Agent Trajectories for Automated Driving
Julian Wiederer
Arij Bouazizi
Marco Troina
U. Kressel
Vasileios Belagiannis
225
31
0
15 Oct 2021
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