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Enabling Robots to Understand Incomplete Natural Language Instructions
  Using Commonsense Reasoning

Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning

29 April 2019
Haonan Chen
Hao Tan
Alan Kuntz
Joey Tianyi Zhou
Ron Alterovitz
    LM&Ro
    LRM
ArXivPDFHTML

Papers citing "Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning"

24 / 24 papers shown
Title
RAIDER: Tool-Equipped Large Language Model Agent for Robotic Action Issue Detection, Explanation and Recovery
RAIDER: Tool-Equipped Large Language Model Agent for Robotic Action Issue Detection, Explanation and Recovery
Silvia Izquierdo-Badiola
Carlos Rizzo
Guillem Alenyà
LLMAG
LM&Ro
113
0
0
22 Mar 2025
Improving Grounded Natural Language Understanding through Human-Robot
  Dialog
Improving Grounded Natural Language Understanding through Human-Robot Dialog
Jesse Thomason
Aishwarya Padmakumar
Jivko Sinapov
Nick Walker
Yuqian Jiang
Harel Yedidsion
Justin W. Hart
Peter Stone
Raymond J. Mooney
LM&Ro
39
76
0
01 Mar 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning
  for Vision-Language Navigation
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
Xin Eric Wang
Qiuyuan Huang
Asli Celikyilmaz
Jianfeng Gao
Dinghan Shen
Yuan-fang Wang
William Yang Wang
Lei Zhang
LM&Ro
SSL
55
534
0
25 Nov 2018
Mapping Navigation Instructions to Continuous Control Actions with
  Position-Visitation Prediction
Mapping Navigation Instructions to Continuous Control Actions with Position-Visitation Prediction
Valts Blukis
Dipendra Kumar Misra
Ross A. Knepper
Yoav Artzi
47
82
0
10 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
817
93,936
0
11 Oct 2018
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense
  Inference
SWAG: A Large-Scale Adversarial Dataset for Grounded Commonsense Inference
Rowan Zellers
Yonatan Bisk
Roy Schwartz
Yejin Choi
66
710
0
16 Aug 2018
A Simple Method for Commonsense Reasoning
A Simple Method for Commonsense Reasoning
Trieu H. Trinh
Quoc V. Le
LRM
ReLM
75
432
0
07 Jun 2018
FollowNet: Robot Navigation by Following Natural Language Directions
  with Deep Reinforcement Learning
FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning
Pararth Shah
Marek Fiser
Aleksandra Faust
J. Kew
Dilek Z. Hakkani-Tür
39
52
0
16 May 2018
Attention Based Natural Language Grounding by Navigating Virtual
  Environment
Attention Based Natural Language Grounding by Navigating Virtual Environment
B. Akilesh
Abhishek Sinha
Mausoom Sarkar
Balaji Krishnamurthy
LM&Ro
21
11
0
23 Apr 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
81
11,520
0
15 Feb 2018
Embodied Question Answering
Embodied Question Answering
Abhishek Das
Samyak Datta
Georgia Gkioxari
Stefan Lee
Devi Parikh
Dhruv Batra
LM&Ro
59
642
0
30 Nov 2017
AffordanceNet: An End-to-End Deep Learning Approach for Object
  Affordance Detection
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
Thanh-Toan Do
A. Nguyen
Ian Reid
31
292
0
21 Sep 2017
Measuring Thematic Fit with Distributional Feature Overlap
Measuring Thematic Fit with Distributional Feature Overlap
Enrico Santus
Emmanuele Chersoni
Alessandro Lenci
P. Blache
33
29
0
19 Jul 2017
Representation Learning for Grounded Spatial Reasoning
Representation Learning for Grounded Spatial Reasoning
M. Jänner
Karthik Narasimhan
Regina Barzilay
13
73
0
13 Jul 2017
Mapping Instructions and Visual Observations to Actions with
  Reinforcement Learning
Mapping Instructions and Visual Observations to Actions with Reinforcement Learning
Dipendra Kumar Misra
John Langford
Yoav Artzi
52
247
0
28 Apr 2017
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Ioannis Konstas
Srini Iyer
Mark Yatskar
Yejin Choi
Luke Zettlemoyer
AIMat
26
303
0
26 Apr 2017
Towards Automatic Learning of Procedures from Web Instructional Videos
Towards Automatic Learning of Procedures from Web Instructional Videos
Luowei Zhou
Chenliang Xu
Jason J. Corso
EgoV
51
812
0
28 Mar 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
253
27,018
0
20 Mar 2017
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based
  Semantic Role Labeling
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
Diego Marcheggiani
Anton Frolov
Ivan Titov
46
110
0
10 Jan 2017
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
ConceptNet 5.5: An Open Multilingual Graph of General Knowledge
R. Speer
Joshua Chin
Catherine Havasi
108
2,874
0
12 Dec 2016
Learning Models for Following Natural Language Directions in Unknown
  Environments
Learning Models for Following Natural Language Directions in Unknown Environments
Sachithra Hemachandra
Felix Duvallet
T. Howard
Nicholas Roy
A. Stentz
Matthew R. Walter
LM&Ro
39
91
0
17 Mar 2015
RoboBrain: Large-Scale Knowledge Engine for Robots
RoboBrain: Large-Scale Knowledge Engine for Robots
Ashutosh Saxena
Ashesh Jain
Ozan Sener
Aditya Jami
Dipendra Kumar Misra
H. Koppula
31
160
0
01 Dec 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
260
33,445
0
16 Oct 2013
Learning to Map Sentences to Logical Form: Structured Classification
  with Probabilistic Categorial Grammars
Learning to Map Sentences to Logical Form: Structured Classification with Probabilistic Categorial Grammars
Luke S. Zettlemoyer
M. Collins
85
973
0
04 Jul 2012
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