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Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot
  Planning

Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning

2 February 2022
Naman Shah
Siddharth Srivastava
ArXivPDFHTML

Papers citing "Using Deep Learning to Bootstrap Abstractions for Hierarchical Robot Planning"

5 / 5 papers shown
Title
From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions,
  and Models for Planning from Raw Data
From Reals to Logic and Back: Inventing Symbolic Vocabularies, Actions, and Models for Planning from Raw Data
Naman Shah
Jayesh Nagpal
Pulkit Verma
Siddharth Srivastava
NAI
43
9
0
19 Feb 2024
Symbolic State Space Optimization for Long Horizon Mobile Manipulation
  Planning
Symbolic State Space Optimization for Long Horizon Mobile Manipulation Planning
Xiaohan Zhang
Yifeng Zhu
Yan Ding
Yuqian Jiang
Yuke Zhu
Peter Stone
Shiqi Zhang
39
4
0
21 Jul 2023
Multi-Task Option Learning and Discovery for Stochastic Path Planning
Multi-Task Option Learning and Discovery for Stochastic Path Planning
Naman Shah
Siddharth Srivastava
11
2
0
30 Sep 2022
JEDAI: A System for Skill-Aligned Explainable Robot Planning
JEDAI: A System for Skill-Aligned Explainable Robot Planning
Naman Shah
Pulkit Verma
Trevor Angle
Siddharth Srivastava
9
10
0
31 Oct 2021
Joint Communication and Motion Planning for Cobots
Joint Communication and Motion Planning for Cobots
Mehdi Dadvar
K. Majd
Elena Oikonomou
Georgios Fainekos
Siddharth Srivastava
29
3
0
28 Sep 2021
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