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Bridging Active Exploration and Uncertainty-Aware Deployment Using
  Probabilistic Ensemble Neural Network Dynamics

Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics

20 May 2023
Taekyung Kim
Jungwi Mun
Junwon Seo
Beomsu Kim
S. Hong
ArXivPDFHTML

Papers citing "Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics"

15 / 15 papers shown
Title
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Junwon Seo
Kensuke Nakamura
Andrea V. Bajcsy
54
0
0
01 May 2025
Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation
Learned Perceptive Forward Dynamics Model for Safe and Platform-aware Robotic Navigation
Pascal Roth
Jonas Frey
César Cadena
Marco Hutter
28
0
0
27 Apr 2025
Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution
Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution
Jack Garbus
Jordan Pollack
34
0
0
03 Apr 2025
Towards Uncertainty Unification: A Case Study for Preference Learning
Towards Uncertainty Unification: A Case Study for Preference Learning
Shaoting Peng
Haonan Chen
Katherine Driggs-Campbell
51
0
0
25 Mar 2025
Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
Taekyung Kim
Robin Inho Kee
Dimitra Panagou
36
6
0
22 Sep 2024
Deep Probabilistic Traversability with Test-time Adaptation for
  Uncertainty-aware Planetary Rover Navigation
Deep Probabilistic Traversability with Test-time Adaptation for Uncertainty-aware Planetary Rover Navigation
Masafumi Endo
Tatsunori Taniai
Genya Ishigami
21
1
0
01 Sep 2024
Evidential Semantic Mapping in Off-road Environments with
  Uncertainty-aware Bayesian Kernel Inference
Evidential Semantic Mapping in Off-road Environments with Uncertainty-aware Bayesian Kernel Inference
Junyoung Kim
Junwon Seo
Jihong Min
UQCV
27
5
0
21 Mar 2024
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road
  Autonomy
EVORA: Deep Evidential Traversability Learning for Risk-Aware Off-Road Autonomy
Xiaoyi Cai
Siddharth Ancha
Lakshay Sharma
Philip R. Osteen
Bernadette Bucher
Stephen Phillips
Jiuguang Wang
Michael Everett
Nicholas Roy
Jonathan P. How
EDL
17
32
0
10 Nov 2023
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
METAVerse: Meta-Learning Traversability Cost Map for Off-Road Navigation
Junwon Seo
Taekyung Kim
Seongyong Ahn
K. Kwak
28
0
0
26 Jul 2023
Safe Navigation in Unstructured Environments by Minimizing Uncertainty
  in Control and Perception
Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception
Junwon Seo
Jungwi Mun
Taekyung Kim
13
4
0
26 Jun 2023
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally
  Driving With Model Predictive Path Integral Control
Learning Terrain-Aware Kinodynamic Model for Autonomous Off-Road Rally Driving With Model Predictive Path Integral Control
Ho-Woon Lee
Taekyung Kim
Jungwi Mun
Wonsuk Lee
23
15
0
01 May 2023
ScaTE: A Scalable Framework for Self-Supervised Traversability
  Estimation in Unstructured Environments
ScaTE: A Scalable Framework for Self-Supervised Traversability Estimation in Unstructured Environments
Junwon Seo
Taekyung Kim
K. Kwak
Jihong Min
Inwook Shim
31
33
0
14 Sep 2022
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Neural-Fly Enables Rapid Learning for Agile Flight in Strong Winds
Michael O'Connell
Guanya Shi
Xichen Shi
Kamyar Azizzadenesheli
Anima Anandkumar
Yisong Yue
Soon-Jo Chung
65
167
0
13 May 2022
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
143
407
0
25 Sep 2019
Information Theoretic Model Predictive Control: Theory and Applications
  to Autonomous Driving
Information Theoretic Model Predictive Control: Theory and Applications to Autonomous Driving
Grady Williams
P. Drews
Brian Goldfain
James M. Rehg
Evangelos A. Theodorou
76
260
0
07 Jul 2017
1