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Deep compositional robotic planners that follow natural language
  commands
v1v2 (latest)

Deep compositional robotic planners that follow natural language commands

IEEE International Conference on Robotics and Automation (ICRA), 2020
12 February 2020
Yen-Ling Kuo
Boris Katz
Andrei Barbu
    LM&Ro
ArXiv (abs)PDFHTML

Papers citing "Deep compositional robotic planners that follow natural language commands"

13 / 13 papers shown
ConformalNL2LTL: Translating Natural Language Instructions into Temporal Logic Formulas with Conformal Correctness Guarantees
ConformalNL2LTL: Translating Natural Language Instructions into Temporal Logic Formulas with Conformal Correctness Guarantees
Jun Wang
David Smith Sundarsingh
Jyotirmoy V. Deshmukh
Y. Kantaros
288
7
0
22 Apr 2025
LASMP: Language Aided Subset Sampling Based Motion Planner
LASMP: Language Aided Subset Sampling Based Motion Planner
Saswati Bhattacharjee
Anirban Sinha
Chinwe Ekenna
LM&Ro
364
0
0
01 Oct 2024
Embodied AI in Mobile Robots: Coverage Path Planning with Large Language
  Models
Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models
Xiangrui Kong
Wenxiao Zhang
Jin B. Hong
Thomas Braunl
LM&RoLLMAG
283
8
0
02 Jul 2024
3P-LLM: Probabilistic Path Planning using Large Language Model for
  Autonomous Robot Navigation
3P-LLM: Probabilistic Path Planning using Large Language Model for Autonomous Robot Navigation
Ehsan Latif
LLMAGLM&Ro
230
19
0
27 Mar 2024
Efficient Data Collection for Robotic Manipulation via Compositional
  Generalization
Efficient Data Collection for Robotic Manipulation via Compositional Generalization
Jensen Gao
Annie Xie
Ted Xiao
Chelsea Finn
Dorsa Sadigh
423
44
0
08 Mar 2024
Language-Grounded Control for Coordinated Robot Motion and Speech
Language-Grounded Control for Coordinated Robot Motion and Speech
Ravi Tejwani
Chengyuan Ma
Paco Gomez-Paz
P. Bonato
H. Asada
200
0
0
04 May 2023
Modularity through Attention: Efficient Training and Transfer of
  Language-Conditioned Policies for Robot Manipulation
Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot ManipulationConference on Robot Learning (CoRL), 2022
Yifan Zhou
Shubham D. Sonawani
Mariano Phielipp
Simon Stepputtis
H. B. Amor
LM&Ro
261
28
0
08 Dec 2022
Moment-based Adversarial Training for Embodied Language Comprehension
Moment-based Adversarial Training for Embodied Language ComprehensionInternational Conference on Pattern Recognition (ICPR), 2022
Shintaro Ishikawa
K. Sugiura
LM&Ro
194
9
0
02 Apr 2022
Trajectory Prediction with Linguistic Representations
Trajectory Prediction with Linguistic Representations
Yen-Ling Kuo
Xin Huang
Andrei Barbu
Stephen G. McGill
Boris Katz
J. Leonard
Guy Rosman
447
24
0
19 Oct 2021
CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double
  Back-Translation for Vision-and-Language Navigation
CrossMap Transformer: A Crossmodal Masked Path Transformer Using Double Back-Translation for Vision-and-Language NavigationIEEE Robotics and Automation Letters (RA-L), 2021
A. Magassouba
K. Sugiura
Hisashi Kawai
285
14
0
01 Mar 2021
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Language-Conditioned Imitation Learning for Robot Manipulation Tasks
Simon Stepputtis
Joseph Campbell
Mariano Phielipp
Stefan Lee
Chitta Baral
H. B. Amor
LM&Ro
429
237
0
22 Oct 2020
Compositional Networks Enable Systematic Generalization for Grounded
  Language Understanding
Compositional Networks Enable Systematic Generalization for Grounded Language UnderstandingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Yen-Ling Kuo
Boris Katz
Andrei Barbu
431
24
0
06 Aug 2020
Encoding formulas as deep networks: Reinforcement learning for zero-shot
  execution of LTL formulas
Encoding formulas as deep networks: Reinforcement learning for zero-shot execution of LTL formulasIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Yen-Ling Kuo
Boris Katz
Andrei Barbu
254
51
0
01 Jun 2020
1
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