Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2307.01928
Cited By
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
Re-assign community
ArXiv
PDF
HTML
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
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
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
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
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
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
Dylan Hillier
Cheston Tan
Jing Jiang
32
0
0
31 Jul 2024
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
Dionis Totsila
Quentin Rouxel
Jean-Baptiste Mouret
S. Ivaldi
33
1
0
19 Jul 2024
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)
Alkesh K. Srivastava
Philip Dames
LLMAG
LM&Ro
27
1
0
13 Jul 2024
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
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
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
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?
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
Tianyi Zhao
Jian Kang
Lu Cheng
21
6
0
26 Jun 2024
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
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
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
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
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
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
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
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
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
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
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
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
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
Jonghan Lim
Sujani Patel
Alex Evans
John Pimley
Yifei Li
Ilya Kovalenko
17
2
0
04 Jun 2024
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
Kevin Kasa
Zhiyu Zhang
Heng Yang
Graham W. Taylor
24
0
0
03 Jun 2024
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
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
Elias Stengel-Eskin
Peter Hase
Mohit Bansal
22
4
0
31 May 2024
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
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
Ransalu Senanayake
16
8
0
06 May 2024
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
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
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
Yu Feng
Ben Zhou
Weidong Lin
Dan Roth
49
4
0
18 Apr 2024
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
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
Gianluca Detommaso
Martín Bertrán
Riccardo Fogliato
Aaron Roth
14
12
0
06 Apr 2024
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
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
Cristina Cornelio
Mohammed Diab
OffRL
22
9
0
31 Mar 2024
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
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
Previous
1
2
3
4
Next