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Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning
  from Demonstrations

Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations

9 November 2020
Glen Chou
N. Ozay
Dmitry Berenson
ArXivPDFHTML

Papers citing "Uncertainty-Aware Constraint Learning for Adaptive Safe Motion Planning from Demonstrations"

10 / 10 papers shown
Title
Safe MPC Alignment with Human Directional Feedback
Safe MPC Alignment with Human Directional Feedback
Zhixian Xie
Wenlong Zhang
Yi Ren
Zhaoran Wang
George J. Pappas
Wanxin Jin
49
0
0
05 Jul 2024
Confidence Aware Inverse Constrained Reinforcement Learning
Confidence Aware Inverse Constrained Reinforcement Learning
Sriram Ganapathi Subramanian
Guiliang Liu
Mohammed Elmahgiubi
Kasra Rezaee
Pascal Poupart
40
3
0
24 Jun 2024
Improving Out-of-Distribution Generalization of Learned Dynamics by
  Learning Pseudometrics and Constraint Manifolds
Improving Out-of-Distribution Generalization of Learned Dynamics by Learning Pseudometrics and Constraint Manifolds
Yating Lin
Glen Chou
Dmitry Berenson
OODD
38
0
0
18 Mar 2024
Learning Input Constrained Control Barrier Functions for Guaranteed
  Safety of Car-Like Robots
Learning Input Constrained Control Barrier Functions for Guaranteed Safety of Car-Like Robots
Sven Brüggemann
Dominic Nightingale
Jack Silberman
Maurício de Oliveira
41
0
0
19 Feb 2024
Inverse Reinforcement Learning With Constraint Recovery
Inverse Reinforcement Learning With Constraint Recovery
Nirjhar Das
Arpan Chattopadhyay
27
2
0
14 May 2023
Data-Efficient Learning of Natural Language to Linear Temporal Logic
  Translators for Robot Task Specification
Data-Efficient Learning of Natural Language to Linear Temporal Logic Translators for Robot Task Specification
Jiayi Pan
Glen Chou
Dmitry Berenson
29
35
0
09 Mar 2023
Statistical Safety and Robustness Guarantees for Feedback Motion
  Planning of Unknown Underactuated Stochastic Systems
Statistical Safety and Robustness Guarantees for Feedback Motion Planning of Unknown Underactuated Stochastic Systems
Craig Knuth
Glen Chou
Jamie Reese
Joseph L. Moore
35
5
0
13 Dec 2022
Benchmarking Constraint Inference in Inverse Reinforcement Learning
Benchmarking Constraint Inference in Inverse Reinforcement Learning
Guiliang Liu
Yudong Luo
A. Gaurav
K. Rezaee
Pascal Poupart
41
22
0
20 Jun 2022
Gaussian Process Constraint Learning for Scalable Chance-Constrained
  Motion Planning from Demonstrations
Gaussian Process Constraint Learning for Scalable Chance-Constrained Motion Planning from Demonstrations
Glen Chou
Hao Wang
Dmitry Berenson
12
10
0
08 Dec 2021
Learning Constraints from Demonstrations
Learning Constraints from Demonstrations
Glen Chou
Dmitry Berenson
N. Ozay
18
21
0
17 Dec 2018
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