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Robots That Ask For Help: Uncertainty Alignment for Large Language Model
  Planners

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

4 July 2023
Allen Z. Ren
Anushri Dixit
Alexandra Bodrova
Sumeet Singh
Stephen Tu
Noah Brown
Peng-Tao Xu
Leila Takayama
F. Xia
Jacob Varley
Zhenjia Xu
Dorsa Sadigh
Andy Zeng
Anirudha Majumdar
    LM&Ro
ArXivPDFHTML

Papers citing "Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners"

50 / 181 papers shown
Title
Robot Utility Models: General Policies for Zero-Shot Deployment in New
  Environments
Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments
Haritheja Etukuru
Norihito Naka
Zijin Hu
Seungjae Lee
Julian Mehu
Aaron Edsinger
Chris Paxton
Soumith Chintala
Lerrel Pinto
Nur Muhammad (Mahi) Shafiullah
LM&Ro
18
23
0
09 Sep 2024
Formal Verification and Control with Conformal Prediction
Formal Verification and Control with Conformal Prediction
Lars Lindemann
Yiqi Zhao
Xinyi Yu
George J. Pappas
Jyotirmoy V. Deshmukh
46
12
0
31 Aug 2024
LeCov: Multi-level Testing Criteria for Large Language Models
LeCov: Multi-level Testing Criteria for Large Language Models
Xuan Xie
Jiayang Song
Yuheng Huang
Da Song
Fuyuan Zhang
Felix Juefei-Xu
Lei Ma
ELM
21
0
0
20 Aug 2024
Computability of Classification and Deep Learning: From Theoretical
  Limits to Practical Feasibility through Quantization
Computability of Classification and Deep Learning: From Theoretical Limits to Practical Feasibility through Quantization
Holger Boche
Vít Fojtík
Adalbert Fono
Gitta Kutyniok
16
0
0
12 Aug 2024
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of
  Audio-Guided LLM-Based Robot Navigation
TrustNavGPT: Modeling Uncertainty to Improve Trustworthiness of Audio-Guided LLM-Based Robot Navigation
Xingpeng Sun
Yiran Zhang
Xindi Tang
Amrit Singh Bedi
Aniket Bera
32
4
0
03 Aug 2024
Social Learning through Interactions with Other Agents: A Survey
Social Learning through Interactions with Other Agents: A Survey
Dylan Hillier
Cheston Tan
Jing Jiang
32
0
0
31 Jul 2024
Foundation Models for Autonomous Robots in Unstructured Environments
Foundation Models for Autonomous Robots in Unstructured Environments
Hossein Naderi
Alireza Shojaei
Lifu Huang
LM&Ro
27
0
0
19 Jul 2024
Words2Contact: Identifying Support Contacts from Verbal Instructions
  Using Foundation Models
Words2Contact: Identifying Support Contacts from Verbal Instructions Using Foundation Models
Dionis Totsila
Quentin Rouxel
Jean-Baptiste Mouret
S. Ivaldi
33
1
0
19 Jul 2024
Uncertainty is Fragile: Manipulating Uncertainty in Large Language
  Models
Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models
Qingcheng Zeng
Mingyu Jin
Qinkai Yu
Zhenting Wang
Wenyue Hua
...
Felix Juefei Xu
Kaize Ding
Fan Yang
Ruixiang Tang
Yongfeng Zhang
AAML
29
9
0
15 Jul 2024
Speech-Guided Sequential Planning for Autonomous Navigation using Large
  Language Model Meta AI 3 (Llama3)
Speech-Guided Sequential Planning for Autonomous Navigation using Large Language Model Meta AI 3 (Llama3)
Alkesh K. Srivastava
Philip Dames
LLMAG
LM&Ro
27
1
0
13 Jul 2024
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation
VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation
Wentao Zhao
Jiaming Chen
Ziyu Meng
Donghui Mao
Ran Song
Wei Zhang
25
8
0
13 Jul 2024
Sensorimotor Attention and Language-based Regressions in Shared Latent
  Variables for Integrating Robot Motion Learning and LLM
Sensorimotor Attention and Language-based Regressions in Shared Latent Variables for Integrating Robot Motion Learning and LLM
Kanata Suzuki
Tetsuya Ogata
22
2
0
12 Jul 2024
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating
  Interactive Task-Solving Agents
IDAT: A Multi-Modal Dataset and Toolkit for Building and Evaluating Interactive Task-Solving Agents
Shrestha Mohanty
Negar Arabzadeh
Andrea Tupini
Yuxuan Sun
Alexey Skrynnik
Artem Zholus
Marc-Alexandre Côté
Julia Kiseleva
25
0
0
12 Jul 2024
Open Scene Graphs for Open World Object-Goal Navigation
Open Scene Graphs for Open World Object-Goal Navigation
Joel Loo
Zhanxin Wu
David Hsu
LM&Ro
16
3
0
02 Jul 2024
MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?
MMRo: Are Multimodal LLMs Eligible as the Brain for In-Home Robotics?
Jinming Li
Yichen Zhu
Zhiyuan Xu
Jindong Gu
Minjie Zhu
Xin Liu
Ning Liu
Yaxin Peng
Feifei Feng
Jian Tang
LRM
LM&Ro
18
4
0
28 Jun 2024
Conformalized Link Prediction on Graph Neural Networks
Conformalized Link Prediction on Graph Neural Networks
Tianyi Zhao
Jian Kang
Lu Cheng
21
6
0
26 Jun 2024
DKPROMPT: Domain Knowledge Prompting Vision-Language Models for
  Open-World Planning
DKPROMPT: Domain Knowledge Prompting Vision-Language Models for Open-World Planning
Xiaohan Zhang
Zainab Altaweel
Yohei Hayamizu
Yan Ding
S. Amiri
Hao Yang
Andy Kaminski
Chad Esselink
Shiqi Zhang
VLM
LM&Ro
18
3
0
25 Jun 2024
Tell Me Where You Are: Multimodal LLMs Meet Place Recognition
Tell Me Where You Are: Multimodal LLMs Meet Place Recognition
Zonglin Lyu
Juexiao Zhang
Mingxuan Lu
Yiming Li
Chen Feng
22
0
0
25 Jun 2024
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous
  Loco-manipulation
HYPERmotion: Learning Hybrid Behavior Planning for Autonomous Loco-manipulation
Jin Wang
Rui Dai
Weijie Wang
Luca Rossini
Francesco Ruscelli
Nikos Tsagarakis
18
4
0
20 Jun 2024
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
VLM Agents Generate Their Own Memories: Distilling Experience into Embodied Programs of Thought
Gabriel H. Sarch
Lawrence Jang
Michael J. Tarr
William W. Cohen
Kenneth Marino
Katerina Fragkiadaki
LLMAG
23
8
0
20 Jun 2024
LIT: Large Language Model Driven Intention Tracking for Proactive
  Human-Robot Collaboration -- A Robot Sous-Chef Application
LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration -- A Robot Sous-Chef Application
Zhe Huang
John Pohovey
Ananya Yammanuru
Katherine Driggs-Campbell
LM&Ro
25
0
0
19 Jun 2024
Details Make a Difference: Object State-Sensitive Neurorobotic Task
  Planning
Details Make a Difference: Object State-Sensitive Neurorobotic Task Planning
Xiaowen Sun
Xufeng Zhao
Jae Hee Lee
Wenhao Lu
Matthias Kerzel
Stefan Wermter
LM&Ro
21
1
0
14 Jun 2024
The Penalized Inverse Probability Measure for Conformal Classification
The Penalized Inverse Probability Measure for Conformal Classification
P. Melki
Lionel Bombrun
Boubacar Diallo
Jérôme Dias
Jean-Pierre da Costa
29
0
0
13 Jun 2024
AToM-Bot: Embodied Fulfillment of Unspoken Human Needs with Affective
  Theory of Mind
AToM-Bot: Embodied Fulfillment of Unspoken Human Needs with Affective Theory of Mind
Wei Ding
Fanhong Li
Ziteng Ji
Zhengrong Xue
Jia Liu
LM&Ro
31
0
0
12 Jun 2024
Conformalized Teleoperation: Confidently Mapping Human Inputs to
  High-Dimensional Robot Actions
Conformalized Teleoperation: Confidently Mapping Human Inputs to High-Dimensional Robot Actions
Michelle Zhao
Reid G. Simmons
H. Admoni
Andrea Bajcsy
21
2
0
11 Jun 2024
Generalist Multimodal AI: A Review of Architectures, Challenges and
  Opportunities
Generalist Multimodal AI: A Review of Architectures, Challenges and Opportunities
Sai Munikoti
Ian Stewart
Sameera Horawalavithana
Henry Kvinge
Tegan H. Emerson
Sandra E Thompson
Karl Pazdernik
20
2
0
08 Jun 2024
Deconstructing The Ethics of Large Language Models from Long-standing
  Issues to New-emerging Dilemmas
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas
Chengyuan Deng
Yiqun Duan
Xin Jin
Heng Chang
Yijun Tian
...
Kuofeng Gao
Sihong He
Jun Zhuang
Lu Cheng
Haohan Wang
AILaw
31
14
0
08 Jun 2024
A Survey of Language-Based Communication in Robotics
A Survey of Language-Based Communication in Robotics
William Hunt
Sarvapali D. Ramchurn
Mohammad D. Soorati
LM&Ro
41
11
0
06 Jun 2024
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and
  Social Experiences
DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social Experiences
Yidong Huang
Jacob Sansom
Ziqiao Ma
Felix Gervits
Joyce Chai
30
17
0
05 Jun 2024
Enhancing Human-Robot Collaborative Assembly in Manufacturing Systems
  Using Large Language Models
Enhancing Human-Robot Collaborative Assembly in Manufacturing Systems Using Large Language Models
Jonghan Lim
Sujani Patel
Alex Evans
John Pimley
Yifei Li
Ilya Kovalenko
17
2
0
04 Jun 2024
Safeguarding Large Language Models: A Survey
Safeguarding Large Language Models: A Survey
Yi Dong
Ronghui Mu
Yanghao Zhang
Siqi Sun
Tianle Zhang
...
Yi Qi
Jinwei Hu
Jie Meng
Saddek Bensalem
Xiaowei Huang
OffRL
KELM
AILaw
27
17
0
03 Jun 2024
Adapting Conformal Prediction to Distribution Shifts Without Labels
Adapting Conformal Prediction to Distribution Shifts Without Labels
Kevin Kasa
Zhiyu Zhang
Heng Yang
Graham W. Taylor
24
0
0
03 Jun 2024
A Survey of Useful LLM Evaluation
A Survey of Useful LLM Evaluation
Ji-Lun Peng
Sijia Cheng
Egil Diau
Yung-Yu Shih
Po-Heng Chen
Yen-Ting Lin
Yun-Nung Chen
LLMAG
ELM
24
12
0
03 Jun 2024
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
Evaluating Uncertainty-based Failure Detection for Closed-Loop LLM Planners
Zhi Zheng
Qian Feng
Hang Li
Alois C. Knoll
Jianxiang Feng
39
6
0
01 Jun 2024
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large
  Language Models
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models
Elias Stengel-Eskin
Peter Hase
Mohit Bansal
22
4
0
31 May 2024
Conformal Alignment: Knowing When to Trust Foundation Models with
  Guarantees
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
Yu Gui
Ying Jin
Zhimei Ren
MedIm
22
18
0
16 May 2024
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach
  to Trustworthy Performance Evaluation
How Generalizable Is My Behavior Cloning Policy? A Statistical Approach to Trustworthy Performance Evaluation
Joseph A. Vincent
Haruki Nishimura
Masha Itkina
Paarth Shah
Mac Schwager
Thomas Kollar
OffRL
21
8
0
08 May 2024
The Role of Predictive Uncertainty and Diversity in Embodied AI and
  Robot Learning
The Role of Predictive Uncertainty and Diversity in Embodied AI and Robot Learning
Ransalu Senanayake
16
8
0
06 May 2024
Conformal Prediction for Natural Language Processing: A Survey
Conformal Prediction for Natural Language Processing: A Survey
Margarida M. Campos
António Farinhas
Chrysoula Zerva
Mário A. T. Figueiredo
André F. T. Martins
AI4CE
25
13
0
03 May 2024
What Foundation Models can Bring for Robot Learning in Manipulation : A
  Survey
What Foundation Models can Bring for Robot Learning in Manipulation : A Survey
Dingzhe Li
Yixiang Jin
A. Yong
Hongze Yu
Jun Shi
Xiaoshuai Hao
Peng Hao
Huaping Liu
Fuchun Sun
Bin Fang
AI4CE
LM&Ro
62
2
0
28 Apr 2024
Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal
  Prediction
Safe POMDP Online Planning among Dynamic Agents via Adaptive Conformal Prediction
Shili Sheng
Pian Yu
David Parker
Marta Z. Kwiatkowska
Lu Feng
24
1
0
23 Apr 2024
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
BIRD: A Trustworthy Bayesian Inference Framework for Large Language Models
Yu Feng
Ben Zhou
Weidong Lin
Dan Roth
49
4
0
18 Apr 2024
Empowering Large Language Models on Robotic Manipulation with Affordance
  Prompting
Empowering Large Language Models on Robotic Manipulation with Affordance Prompting
Guangran Cheng
Chuheng Zhang
Wenzhe Cai
Li Zhao
Changyin Sun
Jiang Bian
LM&Ro
LLMAG
175
9
0
17 Apr 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
27
6
0
12 Apr 2024
Multicalibration for Confidence Scoring in LLMs
Multicalibration for Confidence Scoring in LLMs
Gianluca Detommaso
Martín Bertrán
Riccardo Fogliato
Aaron Roth
14
12
0
06 Apr 2024
Mitigating LLM Hallucinations via Conformal Abstention
Mitigating LLM Hallucinations via Conformal Abstention
Yasin Abbasi-Yadkori
Ilja Kuzborskij
David Stutz
András György
Adam Fisch
...
Wei-Hung Weng
Yao-Yuan Yang
Csaba Szepesvári
A. Cemgil
Nenad Tomašev
HILM
22
12
0
04 Apr 2024
A Survey of Optimization-based Task and Motion Planning: From Classical
  To Learning Approaches
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning Approaches
Zhigen Zhao
Shuo Cheng
Yan Ding
Ziyi Zhou
Shiqi Zhang
Danfei Xu
Ye Zhao
25
21
0
03 Apr 2024
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
Recover: A Neuro-Symbolic Framework for Failure Detection and Recovery
Cristina Cornelio
Mohammed Diab
OffRL
22
9
0
31 Mar 2024
RAIL: Robot Affordance Imagination with Large Language Models
RAIL: Robot Affordance Imagination with Large Language Models
Ceng Zhang
Xin Meng
Dongchen Qi
Gregory S. Chirikjian
LM&Ro
19
3
0
28 Mar 2024
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and
  Verification
Risk-Aware Robotics: Tail Risk Measures in Planning, Control, and Verification
Prithvi Akella
Anushri Dixit
M. Ahmadi
Lars Lindemann
Margaret P. Chapman
George J. Pappas
Aaron D. Ames
J. W. Burdick
16
4
0
27 Mar 2024
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