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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

Do As I Can, Not As I Say: Grounding Language in Robotic Affordances

4 April 2022
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
Byron David
Chelsea Finn
Chuyuan Fu
K. Gopalakrishnan
Karol Hausman
Alexander Herzog
Daniel Ho
Jasmine Hsu
Julian Ibarz
Brian Ichter
A. Irpan
Eric Jang
Rosario M Jauregui Ruano
Kyle Jeffrey
Sally Jesmonth
N. Joshi
Ryan Julian
Dmitry Kalashnikov
Yuheng Kuang
Kuang-Huei Lee
Sergey Levine
Yao Lu
Linda Luu
Carolina Parada
P. Pastor
Jornell Quiambao
Kanishka Rao
Jarek Rettinghouse
Diego Reyes
P. Sermanet
Nicolas Sievers
Clayton Tan
Alexander Toshev
Vincent Vanhoucke
F. Xia
Ted Xiao
Peng Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
    LM&Ro
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Papers citing "Do As I Can, Not As I Say: Grounding Language in Robotic Affordances"

50 / 402 papers shown
Title
Talking About Large Language Models
Talking About Large Language Models
Murray Shanahan
AI4CE
23
242
0
07 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel
  Program Guidance
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance
C. Chang
Ni Mu
Jiajun Wu
Ling Pan
Huazhe Xu
50
7
0
05 Dec 2022
Token Turing Machines
Token Turing Machines
Michael S. Ryoo
K. Gopalakrishnan
Kumara Kahatapitiya
Ted Xiao
Kanishka Rao
Austin Stone
Yao Lu
Julian Ibarz
Anurag Arnab
27
21
0
16 Nov 2022
PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive
  leaRning
PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning
Jelle Luijkx
Zlatan Ajanović
L. Ferranti
Jens Kober
21
3
0
15 Nov 2022
Contextual Transformer for Offline Meta Reinforcement Learning
Contextual Transformer for Offline Meta Reinforcement Learning
Runji Lin
Ye Li
Xidong Feng
Zhaowei Zhang
Xian Hong Wu Fung
Haifeng Zhang
Jun Wang
Yali Du
Yaodong Yang
OffRL
26
6
0
15 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning
Foundation Models for Semantic Novelty in Reinforcement Learning
Tarun Gupta
Peter Karkus
Tong Che
Danfei Xu
Marco Pavone
VLM
OffRL
LRM
45
7
0
09 Nov 2022
Learning to Follow Instructions in Text-Based Games
Learning to Follow Instructions in Text-Based Games
Mathieu Tuli
Andrew C. Li
Pashootan Vaezipoor
Toryn Q. Klassen
Scott Sanner
Sheila A. McIlraith
36
13
0
08 Nov 2022
Prompter: Utilizing Large Language Model Prompting for a Data Efficient
  Embodied Instruction Following
Prompter: Utilizing Large Language Model Prompting for a Data Efficient Embodied Instruction Following
Y. Inoue
Hiroki Ohashi
LM&Ro
30
44
0
07 Nov 2022
Large Language Models Are Human-Level Prompt Engineers
Large Language Models Are Human-Level Prompt Engineers
Yongchao Zhou
Andrei Ioan Muresanu
Ziwen Han
Keiran Paster
Silviu Pitis
Harris Chan
Jimmy Ba
ALM
LLMAG
21
834
0
03 Nov 2022
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural
  Language Instructions
Learning to Solve Voxel Building Embodied Tasks from Pixels and Natural Language Instructions
Alexey Skrynnik
Zoya Volovikova
Marc-Alexandre Côté
Anton Voronov
Artem Zholus
...
Milagro Teruel
Ahmed Hassan Awadallah
Aleksandr I. Panov
Andrey Kravchenko
Julia Kiseleva
LM&Ro
62
11
0
01 Nov 2022
Towards Better Few-Shot and Finetuning Performance with Forgetful Causal
  Language Models
Towards Better Few-Shot and Finetuning Performance with Forgetful Causal Language Models
Hao Liu
Xinyang Geng
Lisa Lee
Igor Mordatch
Sergey Levine
Sharan Narang
Pieter Abbeel
KELM
CLL
35
2
0
24 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
59
9
0
23 Oct 2022
DANLI: Deliberative Agent for Following Natural Language Instructions
DANLI: Deliberative Agent for Following Natural Language Instructions
Yichi Zhang
Jianing Yang
Jiayi Pan
Shane Storks
N. Devraj
Ziqiao Ma
Keunwoo Peter Yu
Yuwei Bao
J. Chai
LM&Ro
58
16
0
22 Oct 2022
Composing Ensembles of Pre-trained Models via Iterative Consensus
Composing Ensembles of Pre-trained Models via Iterative Consensus
Shuang Li
Yilun Du
J. Tenenbaum
Antonio Torralba
Igor Mordatch
MoMe
19
23
0
20 Oct 2022
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and
  Locomotion
Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Zipeng Fu
Xuxin Cheng
Deepak Pathak
19
144
0
18 Oct 2022
RARR: Researching and Revising What Language Models Say, Using Language
  Models
RARR: Researching and Revising What Language Models Say, Using Language Models
Luyu Gao
Zhuyun Dai
Panupong Pasupat
Anthony Chen
Arun Tejasvi Chaganty
...
Vincent Zhao
Ni Lao
Hongrae Lee
Da-Cheng Juan
Kelvin Guu
HILM
KELM
41
257
0
17 Oct 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic
  Reinforcement Learning at Scale
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
51
10
0
15 Oct 2022
Mind's Eye: Grounded Language Model Reasoning through Simulation
Mind's Eye: Grounded Language Model Reasoning through Simulation
Ruibo Liu
Jason W. Wei
S. Gu
Te-Yen Wu
Soroush Vosoughi
Claire Cui
Denny Zhou
Andrew M. Dai
ReLM
LRM
118
79
0
11 Oct 2022
VIMA: General Robot Manipulation with Multimodal Prompts
VIMA: General Robot Manipulation with Multimodal Prompts
Yunfan Jiang
Agrim Gupta
Zichen Zhang
Guanzhi Wang
Yongqiang Dou
Yanjun Chen
Li Fei-Fei
Anima Anandkumar
Yuke Zhu
Linxi Fan
LM&Ro
33
336
0
06 Oct 2022
Language Models are Multilingual Chain-of-Thought Reasoners
Language Models are Multilingual Chain-of-Thought Reasoners
Freda Shi
Mirac Suzgun
Markus Freitag
Xuezhi Wang
Suraj Srivats
...
Yi Tay
Sebastian Ruder
Denny Zhou
Dipanjan Das
Jason W. Wei
ReLM
LRM
174
326
0
06 Oct 2022
Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors
Large Language Models are Pretty Good Zero-Shot Video Game Bug Detectors
Mohammad Reza Taesiri
Finlay Macklon
Yihe Wang
Hengshuo Shen
C. Bezemer
ELM
LLMAG
MLLM
44
13
0
05 Oct 2022
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
DALL-E-Bot: Introducing Web-Scale Diffusion Models to Robotics
Ivan Kapelyukh
Vitalis Vosylius
Edward Johns
LM&Ro
DiffM
115
146
0
05 Oct 2022
Robot Task Planning and Situation Handling in Open Worlds
Robot Task Planning and Situation Handling in Open Worlds
Yan Ding
Xiaohan Zhang
S. Amiri
Nieqing Cao
Hao Yang
Chad Esselink
Shiqi Zhang
LM&Ro
28
19
0
04 Oct 2022
Enabling Conversational Interaction with Mobile UI using Large Language
  Models
Enabling Conversational Interaction with Mobile UI using Large Language Models
Bryan Wang
Gang Li
Yang Li
181
132
0
18 Sep 2022
Improving Language Model Prompting in Support of Semi-autonomous Task
  Learning
Improving Language Model Prompting in Support of Semi-autonomous Task Learning
James R. Kirk
R. Wray
Peter Lindes
John E. Laird
LRM
30
10
0
13 Sep 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar
Lucas Manuelli
Dieter Fox
LM&Ro
166
460
0
12 Sep 2022
On Grounded Planning for Embodied Tasks with Language Models
On Grounded Planning for Embodied Tasks with Language Models
Bill Yuchen Lin
Chengsong Huang
Qian Liu
Wenda Gu
Sam Sommerer
Xiang Ren
LM&Ro
34
39
0
29 Aug 2022
Integrating Diverse Knowledge Sources for Online One-shot Learning of
  Novel Tasks
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks
James R. Kirk
R. Wray
Peter Lindes
John E. Laird
27
8
0
19 Aug 2022
LATTE: LAnguage Trajectory TransformEr
LATTE: LAnguage Trajectory TransformEr
A. Bucker
Luis F. C. Figueredo
Sami Haddadin
Ashish Kapoor
Shuang Ma
Sai H. Vemprala
Rogerio Bonatti
LM&Ro
39
59
0
04 Aug 2022
Language Models (Mostly) Know What They Know
Language Models (Mostly) Know What They Know
Saurav Kadavath
Tom Conerly
Amanda Askell
T. Henighan
Dawn Drain
...
Nicholas Joseph
Benjamin Mann
Sam McCandlish
C. Olah
Jared Kaplan
ELM
59
720
0
11 Jul 2022
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language,
  Vision, and Action
LM-Nav: Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action
Dhruv Shah
B. Osinski
Brian Ichter
Sergey Levine
LM&Ro
158
437
0
10 Jul 2022
Leveraging Language for Accelerated Learning of Tool Manipulation
Leveraging Language for Accelerated Learning of Tool Manipulation
Allen Z. Ren
Bharat Govil
Tsung-Yen Yang
Karthik R. Narasimhan
Anirudha Majumdar
LM&Ro
26
37
0
27 Jun 2022
Learning Neuro-Symbolic Skills for Bilevel Planning
Learning Neuro-Symbolic Skills for Bilevel Planning
Tom Silver
Ashay Athalye
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
37
59
0
21 Jun 2022
PlanBench: An Extensible Benchmark for Evaluating Large Language Models
  on Planning and Reasoning about Change
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
Karthik Valmeekam
Matthew Marquez
Alberto Olmo
S. Sreedharan
Subbarao Kambhampati
ReLM
LRM
30
201
0
21 Jun 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale
  Knowledge
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge
Linxi Fan
Guanzhi Wang
Yunfan Jiang
Ajay Mandlekar
Yuncong Yang
Haoyi Zhu
Andrew Tang
De-An Huang
Yuke Zhu
Anima Anandkumar
LM&Ro
51
352
0
17 Jun 2022
Emergent Abilities of Large Language Models
Emergent Abilities of Large Language Models
Jason W. Wei
Yi Tay
Rishi Bommasani
Colin Raffel
Barret Zoph
...
Tatsunori Hashimoto
Oriol Vinyals
Percy Liang
J. Dean
W. Fedus
ELM
ReLM
LRM
84
2,354
0
15 Jun 2022
Reincarnating Reinforcement Learning: Reusing Prior Computation to
  Accelerate Progress
Reincarnating Reinforcement Learning: Reusing Prior Computation to Accelerate Progress
Rishabh Agarwal
Max Schwarzer
Pablo Samuel Castro
Rameswar Panda
Marc G. Bellemare
OffRL
OnRL
37
63
0
03 Jun 2022
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal
  Search
Fast and Precise: Adjusting Planning Horizon with Adaptive Subgoal Search
Michał Zawalski
Michał Tyrolski
K. Czechowski
Tomasz Odrzygó'zd'z
Damian Stachura
Piotr Pikekos
Yuhuai Wu
Lukasz Kuciñski
Piotr Milo's
LRM
21
8
0
01 Jun 2022
TALM: Tool Augmented Language Models
TALM: Tool Augmented Language Models
Aaron T Parisi
Yao-Min Zhao
Noah Fiedel
KELM
RALM
LLMAG
38
144
0
24 May 2022
Large Language Models are Zero-Shot Reasoners
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,139
0
24 May 2022
A Generalist Agent
A Generalist Agent
Scott E. Reed
Konrad Zolna
Emilio Parisotto
Sergio Gomez Colmenarejo
Alexander Novikov
...
Yutian Chen
R. Hadsell
Oriol Vinyals
Mahyar Bordbar
Nando de Freitas
LM&Ro
LLMAG
AI4CE
89
791
0
12 May 2022
Adversarial Training for High-Stakes Reliability
Adversarial Training for High-Stakes Reliability
Daniel M. Ziegler
Seraphina Nix
Lawrence Chan
Tim Bauman
Peter Schmidt-Nielsen
...
Noa Nabeshima
Benjamin Weinstein-Raun
D. Haas
Buck Shlegeris
Nate Thomas
AAML
38
59
0
03 May 2022
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language
Andy Zeng
Maria Attarian
Brian Ichter
K. Choromanski
Adrian S. Wong
...
Michael S. Ryoo
Vikas Sindhwani
Johnny Lee
Vincent Vanhoucke
Peter R. Florence
ReLM
LRM
47
573
0
01 Apr 2022
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
369
12,003
0
04 Mar 2022
Can Wikipedia Help Offline Reinforcement Learning?
Can Wikipedia Help Offline Reinforcement Learning?
Machel Reid
Yutaro Yamada
S. Gu
3DV
RALM
OffRL
140
95
0
28 Jan 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
413
8,559
0
28 Jan 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
35
132
0
20 Jan 2022
Skill Induction and Planning with Latent Language
Skill Induction and Planning with Latent Language
Pratyusha Sharma
Antonio Torralba
Jacob Andreas
LM&Ro
202
108
0
04 Oct 2021
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual,
  Interactive, and Ecological Environments
BEHAVIOR: Benchmark for Everyday Household Activities in Virtual, Interactive, and Ecological Environments
S. Srivastava
Chengshu Li
Michael Lingelbach
Roberto Martín-Martín
Fei Xia
...
Chenxi Liu
Silvio Savarese
H. Gweon
Jiajun Wu
Li Fei-Fei
LM&Ro
151
158
0
06 Aug 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
214
135
0
12 Jul 2021
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