ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.09243
  4. Cited By
Inferring Compact Representations for Efficient Natural Language
  Understanding of Robot Instructions

Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions

21 March 2019
Siddharth Patki
Andrea F. Daniele
Matthew R. Walter
T. Howard
ArXiv (abs)PDFHTML

Papers citing "Inferring Compact Representations for Efficient Natural Language Understanding of Robot Instructions"

10 / 10 papers shown
Title
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
Hi Robot: Open-Ended Instruction Following with Hierarchical Vision-Language-Action Models
Lucy Xiaoyang Shi
Brian Ichter
Michael Equi
Liyiming Ke
Karl Pertsch
...
Adrian Li-Bell
Danny Driess
Lachy Groom
Sergey Levine
Chelsea Finn
LM&RoLRM
149
23
0
26 Feb 2025
Transcrib3D: 3D Referring Expression Resolution through Large Language
  Models
Transcrib3D: 3D Referring Expression Resolution through Large Language Models
Jiading Fang
Xiangshan Tan
Shengjie Lin
Igor Vasiljevic
Vitor Campagnolo Guizilini
Hongyuan Mei
Rares Andrei Ambrus
Gregory Shakhnarovich
Matthew R. Walter
LM&Ro
72
4
0
30 Apr 2024
Embodied Concept Learner: Self-supervised Learning of Concepts and
  Mapping through Instruction Following
Embodied Concept Learner: Self-supervised Learning of Concepts and Mapping through Instruction Following
Mingyu Ding
Yan Xu
Zhenfang Chen
David D. Cox
Ping Luo
J. Tenenbaum
Chuang Gan
LM&Ro
93
21
0
07 Apr 2023
Chat with the Environment: Interactive Multimodal Perception Using Large
  Language Models
Chat with the Environment: Interactive Multimodal Perception Using Large Language Models
Xufeng Zhao
Mengdi Li
C. Weber
Muhammad Burhan Hafez
S. Wermter
LLMAGLM&RoLRM
176
49
0
14 Mar 2023
Active Exploration based on Information Gain by Particle Filter for
  Efficient Spatial Concept Formation
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation
Akira Taniguchi
Y. Tabuchi
Tomochika Ishikawa
Lotfi El Hafi
Y. Hagiwara
T. Taniguchi
113
4
0
20 Nov 2022
From Machine Learning to Robotics: Challenges and Opportunities for
  Embodied Intelligence
From Machine Learning to Robotics: Challenges and Opportunities for Embodied Intelligence
Nicholas Roy
Ingmar Posner
Timothy D. Barfoot
Philippe Beaudoin
Yoshua Bengio
...
S. Schaal
Gaurav Sukhatme
D. Thérien
Marc Toussaint
M. van de Panne
114
56
0
28 Oct 2021
A Persistent Spatial Semantic Representation for High-level Natural
  Language Instruction Execution
A Persistent Spatial Semantic Representation for High-level Natural Language Instruction Execution
Valts Blukis
Chris Paxton
Dieter Fox
Animesh Garg
Yoav Artzi
LM&Ro
273
139
0
12 Jul 2021
Language Understanding for Field and Service Robots in a Priori Unknown
  Environments
Language Understanding for Field and Service Robots in a Priori Unknown Environments
Matthew R. Walter
Siddharth Patki
Andrea F. Daniele
E. Fahnestock
Felix Duvallet
Sachithra Hemachandra
Jean Oh
A. Stentz
Nicholas Roy
T. Howard
LM&Ro
95
8
0
21 May 2021
Language-guided Semantic Mapping and Mobile Manipulation in Partially
  Observable Environments
Language-guided Semantic Mapping and Mobile Manipulation in Partially Observable Environments
Siddharth Patki
E. Fahnestock
T. Howard
Matthew R. Walter
52
15
0
22 Oct 2019
Language-guided Adaptive Perception with Hierarchical Symbolic
  Representations for Mobile Manipulators
Language-guided Adaptive Perception with Hierarchical Symbolic Representations for Mobile Manipulators
E. Fahnestock
Siddharth Patki
T. Howard
LM&Ro
34
4
0
21 Sep 2019
1