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Learning Robotic Navigation from Experience: Principles, Methods, and
  Recent Results

Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results

13 December 2022
Sergey Levine
Dhruv Shah
    SSL
ArXivPDFHTML

Papers citing "Learning Robotic Navigation from Experience: Principles, Methods, and Recent Results"

18 / 18 papers shown
Title
Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations
Embodiment-Agnostic Navigation Policy Trained with Visual Demonstrations
Nimrod Curtis
Osher Azulay
A. Sintov
38
0
0
31 Dec 2024
Learning Dynamic Cognitive Map with Autonomous Navigation
Learning Dynamic Cognitive Map with Autonomous Navigation
Daria de Tinguy
Tim Verbelen
Bart Dhoedt
35
0
0
13 Nov 2024
IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale
IntentionNet: Map-Lite Visual Navigation at the Kilometre Scale
Wei Gao
Bo Ai
Joel Loo
Vinay
David Hsu
49
1
0
03 Jul 2024
SpatialBot: Precise Spatial Understanding with Vision Language Models
SpatialBot: Precise Spatial Understanding with Vision Language Models
Wenxiao Cai
Yaroslav Ponomarenko
Jianhao Yuan
Xiaoqi Li
Wankou Yang
Hao Dong
Bo-Lu Zhao
VLM
56
28
0
19 Jun 2024
OpenBot-Fleet: A System for Collective Learning with Real Robots
OpenBot-Fleet: A System for Collective Learning with Real Robots
Matthias M¨uller
Samarth Brahmbhatt
Ankur Deka
Quentin Leboutet
David Hafner
V. Koltun
34
0
0
13 May 2024
Language, Environment, and Robotic Navigation
Language, Environment, and Robotic Navigation
Johnathan E. Avery
LM&Ro
37
0
0
03 Apr 2024
Zero-Shot Learning for the Primitives of 3D Affordance in General
  Objects
Zero-Shot Learning for the Primitives of 3D Affordance in General Objects
Hyeonwoo Kim
Sookwan Han
Patrick Kwon
Hanbyul Joo
DiffM
41
14
0
23 Jan 2024
Spatial and Temporal Hierarchy for Autonomous Navigation using Active
  Inference in Minigrid Environment
Spatial and Temporal Hierarchy for Autonomous Navigation using Active Inference in Minigrid Environment
Daria de Tinguy
Toon Van de Maele
Tim Verbelen
Bart Dhoedt
33
6
0
08 Dec 2023
Learning to See Physical Properties with Active Sensing Motor Policies
Learning to See Physical Properties with Active Sensing Motor Policies
G. Margolis
Xiang Fu
Yandong Ji
Pulkit Agrawal
31
11
0
02 Nov 2023
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and
  Planning
ConceptGraphs: Open-Vocabulary 3D Scene Graphs for Perception and Planning
Yuanyi Zhong
Alihusein Kuwajerwala
Sacha Morin
Krishna Murthy Jatavallabhula
Bipasha Sen
...
Celso Miguel de Melo
Joshua B. Tenenbaum
Antonio Torralba
Florian Shkurti
Liam Paull
LM&Ro
36
166
0
28 Sep 2023
Learning to Navigate from Scratch using World Models and Curiosity: the
  Good, the Bad, and the Ugly
Learning to Navigate from Scratch using World Models and Curiosity: the Good, the Bad, and the Ugly
Daria de Tinguy
Sven Remmery
Pietro Mazzaglia
Tim Verbelen
Bart Dhoedt
28
0
0
30 Aug 2023
One-4-All: Neural Potential Fields for Embodied Navigation
One-4-All: Neural Potential Fields for Embodied Navigation
Sacha Morin
Miguel A. Saavedra-Ruiz
Liam Paull
27
5
0
07 Mar 2023
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
Dhruv Shah
Sergey Levine
132
66
0
23 Feb 2022
A Workflow for Offline Model-Free Robotic Reinforcement Learning
A Workflow for Offline Model-Free Robotic Reinforcement Learning
Aviral Kumar
Anika Singh
Stephen Tian
Chelsea Finn
Sergey Levine
OffRL
143
85
0
22 Sep 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
340
1,960
0
04 May 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
CAD2RL: Real Single-Image Flight without a Single Real Image
CAD2RL: Real Single-Image Flight without a Single Real Image
Fereshteh Sadeghi
Sergey Levine
SSL
229
809
0
13 Nov 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
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