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2505.18382
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One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration
23 May 2025
Jinbang Huang
Yixin Xiao
Zhanguang Zhang
Mark Coates
Jianye Hao
Yingxue Zhang
LM&Ro
LRM
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Papers citing
"One Demo Is All It Takes: Planning Domain Derivation with LLMs from A Single Demonstration"
22 / 22 papers shown
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
DeepSeek-AI
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
...
Shiyu Wang
S. Yu
Shunfeng Zhou
Shuting Pan
S.S. Li
OffRL
AI4TS
LRM
ReLM
VLM
1.2K
5,342
0
22 Jan 2025
Evaluation of OpenAI o1: Opportunities and Challenges of AGI
Tianyang Zhong
Zhengliang Liu
Yi Pan
Yutong Zhang
Yifan Zhou
...
Xiaoming Zhai
Dajiang Zhu
Tuo Zhang
Andrea Sikora
Xiaoming Zhai
LRM
AI4CE
ReLM
ELM
VLM
414
99
0
27 Sep 2024
LLM-A*: Large Language Model Enhanced Incremental Heuristic Search on Path Planning
Silin Meng
Yiwei Wang
Cheng-Fu Yang
Nanyun Peng
Kai-Wei Chang
396
61
0
20 Jun 2024
LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning
IEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Shu Wang
Muzhi Han
Ziyuan Jiao
Zeyu Zhang
Yingnian Wu
Song-Chun Zhu
Hangxin Liu
LRM
369
74
0
18 Mar 2024
WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
Hao Tang
Darren Key
Kevin Ellis
LLMAG
345
71
0
19 Feb 2024
Interactive Task Planning with Language Models
Boyi Li
Philipp Wu
Pieter Abbeel
Jitendra Malik
LM&Ro
363
52
0
16 Oct 2023
AutoTAMP: Autoregressive Task and Motion Planning with LLMs as Translators and Checkers
IEEE International Conference on Robotics and Automation (ICRA), 2023
Yongchao Chen
Jacob Arkin
Charles Dawson
Yang Zhang
Nicholas Roy
Chuchu Fan
LRM
330
152
0
10 Jun 2023
Leveraging Pre-trained Large Language Models to Construct and Utilize World Models for Model-based Task Planning
Neural Information Processing Systems (NeurIPS), 2023
L. Guan
Kaya Stechly
S. Sreedharan
Subbarao Kambhampati
LLMAG
315
254
0
24 May 2023
Large Language Models as Commonsense Knowledge for Large-Scale Task Planning
Neural Information Processing Systems (NeurIPS), 2023
Zirui Zhao
W. Lee
David Hsu
LRM
LLMAG
LM&Ro
401
321
0
23 May 2023
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
B. Liu
Yuqian Jiang
Xiaohan Zhang
Qian Liu
Shiqi Zhang
Joydeep Biswas
Peter Stone
LM&Ro
LLMAG
428
542
0
22 Apr 2023
PaLM-E: An Embodied Multimodal Language Model
International Conference on Machine Learning (ICML), 2023
Danny Driess
F. Xia
Mehdi S. M. Sajjadi
Corey Lynch
Aakanksha Chowdhery
...
Marc Toussaint
Klaus Greff
Andy Zeng
Igor Mordatch
Peter R. Florence
LM&Ro
473
2,228
0
06 Mar 2023
Learning Efficient Abstract Planning Models that Choose What to Predict
Conference on Robot Learning (CoRL), 2022
Nishanth Kumar
Willie McClinton
Rohan Chitnis
Tom Silver
Tomás Lozano-Pérez
L. Kaelbling
253
25
0
16 Aug 2022
Inner Monologue: Embodied Reasoning through Planning with Language Models
Conference on Robot Learning (CoRL), 2022
Wenlong Huang
F. Xia
Ted Xiao
Harris Chan
Jacky Liang
...
Tomas Jackson
Linda Luu
Sergey Levine
Karol Hausman
Brian Ichter
LLMAG
LM&Ro
LRM
405
1,160
0
12 Jul 2022
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Conference on Robot Learning (CoRL), 2022
Michael Ahn
Anthony Brohan
Noah Brown
Yevgen Chebotar
Omar Cortes
...
Ted Xiao
Peng Xu
Sichun Xu
Mengyuan Yan
Andy Zeng
LM&Ro
580
2,589
0
04 Apr 2022
Predicate Invention for Bilevel Planning
AAAI Conference on Artificial Intelligence (AAAI), 2022
Tom Silver
Rohan Chitnis
Nishanth Kumar
Willie McClinton
Tomás Lozano-Pérez
L. Kaelbling
J. Tenenbaum
481
58
0
17 Mar 2022
Pre-Trained Language Models for Interactive Decision-Making
Neural Information Processing Systems (NeurIPS), 2022
Shuang Li
Xavier Puig
Chris Paxton
Yilun Du
Clinton Jia Wang
...
Anima Anandkumar
Jacob Andreas
Igor Mordatch
Antonio Torralba
Yuke Zhu
LM&Ro
403
307
0
03 Feb 2022
Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents
International Conference on Machine Learning (ICML), 2022
Wenlong Huang
Pieter Abbeel
Deepak Pathak
Igor Mordatch
LM&Ro
311
1,398
0
18 Jan 2022
Learning to Search in Task and Motion Planning with Streams
IEEE Robotics and Automation Letters (RA-L), 2021
M. Khodeir
Ben Agro
Florian Shkurti
392
31
0
25 Nov 2021
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2020
Tom Silver
Rohan Chitnis
Aidan Curtis
J. Tenenbaum
Tomas Lozano-Perez
L. Kaelbling
GNN
228
92
0
11 Sep 2020
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning
Caelan Reed Garrett
Tomás Lozano-Pérez
L. Kaelbling
503
309
0
23 Feb 2018
Backward-Forward Search for Manipulation Planning
Caelan Reed Garrett
Tomas Lozano-Perez
L. Kaelbling
126
58
0
12 Apr 2016
Batch Informed Trees (BIT*): Sampling-based Optimal Planning via the Heuristically Guided Search of Implicit Random Geometric Graphs
IEEE International Conference on Robotics and Automation (ICRA), 2014
Jonathan Gammell
S. Srinivasa
Timothy D. Barfoot
507
506
0
22 May 2014
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