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TOAST: Trajectory Optimization and Simultaneous Tracking using Shared
  Neural Network Dynamics

TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics

20 January 2022
Taekyung Kim
Hojin Lee
S. Hong
Wonsuk Lee
ArXivPDFHTML

Papers citing "TOAST: Trajectory Optimization and Simultaneous Tracking using Shared Neural Network Dynamics"

6 / 6 papers shown
Title
Neural Potential Field for Obstacle-Aware Local Motion Planning
Neural Potential Field for Obstacle-Aware Local Motion Planning
Muhammad Alhaddad
Konstantin Mironov
A. Staroverov
Aleksandr I. Panov
30
4
0
25 Oct 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
31
4
0
26 Jun 2023
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
Taekyung Kim
Jungwi Mun
Junwon Seo
Beomsu Kim
S. Hong
39
11
0
20 May 2023
Physics Embedded Neural Network Vehicle Model and Applications in
  Risk-Aware Autonomous Driving Using Latent Features
Physics Embedded Neural Network Vehicle Model and Applications in Risk-Aware Autonomous Driving Using Latent Features
Taekyung Kim
Ho-Woon Lee
Wonsuk Lee
8
17
0
16 Jul 2022
Deep Dynamics Models for Learning Dexterous Manipulation
Deep Dynamics Models for Learning Dexterous Manipulation
Anusha Nagabandi
K. Konolige
Sergey Levine
Vikash Kumar
157
409
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
95
264
0
07 Jul 2017
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