Active model learning and diverse action sampling for task and motion planning

2 March 2018

Tomás Lozano-Pérez

Papers citing "Active model learning and diverse action sampling for task and motion planning"

50 / 53 papers shown

Title
QuestBench: Can LLMs ask the right question to acquire information in reasoning tasks? Belinda Z. Li Been Kim Zehao Wang LRM 43 2 0 28 Mar 2025
Contrastive Learning from Exploratory Actions: Leveraging Natural Interactions for Preference Elicitation N. Dennler Stefanos Nikolaidis Maja J. Matarić 195 0 0 03 Jan 2025
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor Graph Utkarsh Aashu Mishra Yongxin Chen Danfei Xu LRM 36 4 0 24 Sep 2024
Anticipatory Task and Motion Planning Roshan Dhakal Duc M. Nguyen Tom Silver Xuesu Xiao Gregory J. Stein 34 1 0 18 Jul 2024
InterPreT: Interactive Predicate Learning from Language Feedback for Generalizable Task Planning Muzhi Han Yifeng Zhu Song-Chun Zhu Yingnian Wu Yuke Zhu 40 23 0 30 May 2024
Pure Planning to Pure Policies and In Between with a Recursive Tree Planner A. N. Redlich 29 0 0 21 May 2024
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design Quan Nguyen Adji Bousso Dieng 46 7 0 03 May 2024
Closed Loop Interactive Embodied Reasoning for Robot Manipulation Michal Nazarczuk Jan Kristof Behrens Karla Stepanova Matej Hoffmann K. Mikolajczyk LM&Ro LRM 55 1 0 23 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 46 22 0 03 Apr 2024
LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning Shu Wang Muzhi Han Ziyuan Jiao Zeyu Zhang Yingnian Wu Song-Chun Zhu Hangxin Liu LRM 33 33 0 18 Mar 2024
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models A. LaGrassa Moonyoung Lee Oliver Kroemer 26 3 0 08 Jan 2024
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models Utkarsh Aashu Mishra Shangjie Xue Yongxin Chen Danfei Xu LRM 36 68 0 13 Oct 2023
Embodied Lifelong Learning for Task and Motion Planning Jorge Armando Mendez Mendez L. Kaelbling Tomás Lozano-Pérez 36 16 0 13 Jul 2023
Robot Task Planning Based on Large Language Model Representing Knowledge with Directed Graph Structures Zhen Yue Bi Sheng Xing-tong Lu Wei-qin Pan Hai-peng Shi Zi-Yuan Chen Yi-shu Fang LLMAG LM&Ro 33 8 0 08 Jun 2023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models Bailin Wang Zi Wang Xuezhi Wang Yuan Cao Rif A. Saurous Yoon Kim ReLM LRM 41 53 0 30 May 2023
Anticipatory Planning: Improving Long-Lived Planning by Estimating Expected Cost of Future Tasks Roshan Dhakal Md Ridwan Hossain Talukder Gregory J. Stein 21 3 0 08 May 2023
Text2Motion: From Natural Language Instructions to Feasible Plans Kevin Qinghong Lin Christopher Agia Toki Migimatsu Marco Pavone Jeannette Bohg LM&Ro 29 267 0 21 Mar 2023
Multi-Arm Bin-Picking in Real-Time: A Combined Task and Motion Planning Approach Ilyes Toumi A. Orthey Alexander von Rohr Ngo Anh Vien 29 2 0 20 Nov 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon Manipulation Shuo Cheng Danfei Xu 54 37 0 23 Oct 2022
STAP: Sequencing Task-Agnostic Policies Christopher Agia Toki Migimatsu Jiajun Wu Jeannette Bohg 43 19 0 21 Oct 2022
Plex: Towards Reliability using Pretrained Large Model Extensions Dustin Tran J. Liu Michael W. Dusenberry Du Phan Mark Collier ... D. Sculley Y. Gal Zoubin Ghahramani Jasper Snoek Balaji Lakshminarayanan VLM 39 124 0 15 Jul 2022
Learning Model Preconditions for Planning with Multiple Models A. LaGrassa Oliver Kroemer 16 8 0 11 Jun 2022
Visually Grounded Task and Motion Planning for Mobile Manipulation Xiaohan Zhang Yifeng Zhu Yan Ding Yuke Zhu Peter Stone Shiqi Zhang 18 20 0 22 Feb 2022
Nonmyopic Multiclass Active Search with Diminishing Returns for Diverse Discovery Quan Nguyen Roman Garnett 20 5 0 08 Feb 2022
An Anytime Hierarchical Approach for Stochastic Task and Motion Planning Naman Shah Siddharth Srivastava 27 0 0 28 Aug 2021
Active Learning of Abstract Plan Feasibility Michael Noseworthy Caris Moses Isa Brand Sebastian Castro L. Kaelbling Tomás Lozano-Pérez Nicholas Roy 25 22 0 01 Jul 2021
Counterexample-Guided Repair for Symbolic-Geometric Action Abstractions Wil Thomason H. Kress-Gazit 21 3 0 13 May 2021
Reconstructing Interactive 3D Scenes by Panoptic Mapping and CAD Model Alignments Muzhi Han Zeyu Zhang Ziyuan Jiao Xu Xie Yixin Zhu Song-Chun Zhu Hangxin Liu 21 30 0 30 Mar 2021
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI Chuang Gan Siyuan Zhou Jeremy Schwartz S. Alter Abhishek Bhandwaldar ... Daniel L. K. Yamins J. DiCarlo Josh H. McDermott Antonio Torralba J. Tenenbaum LM&Ro 35 76 0 25 Mar 2021
Learning Symbolic Operators for Task and Motion Planning Tom Silver Rohan Chitnis J. Tenenbaum L. Kaelbling Tomas Lozano-Perez 25 79 0 28 Feb 2021
Efficient and Interpretable Robot Manipulation with Graph Neural Networks Yixin Lin Austin S. Wang Eric Undersander Akshara Rai LM&Ro 105 44 0 25 Feb 2021
IV-Posterior: Inverse Value Estimation for Interpretable Policy Certificates Tatiana Lopez-Guevara Michael G. Burke Nick K. Taylor Kartic Subr OffRL 25 0 0 30 Nov 2020
Reactive Long Horizon Task Execution via Visual Skill and Precondition Models Shohin Mukherjee Chris Paxton Arsalan Mousavian Adam Fishman Maxim Likhachev Dieter Fox 32 13 0 17 Nov 2020
Deep Affordance Foresight: Planning Through What Can Be Done in the Future Danfei Xu Ajay Mandlekar Roberto Martín-Martín Yuke Zhu Silvio Savarese Li Fei-Fei 33 71 0 17 Nov 2020
Asynchronous ε-Greedy Bayesian Optimisation George De Ath Richard Everson J. Fieldsend 35 5 0 15 Oct 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and Motion Planning from an Initial Scene Image Danny Driess Jung-Su Ha Marc Toussaint LRM 13 100 0 09 Jun 2020
Learning compositional models of robot skills for task and motion planning Zi Wang Caelan Reed Garrett L. Kaelbling Tomás Lozano-Pérez 36 104 0 08 Jun 2020
Flexible and Efficient Long-Range Planning Through Curious Exploration Aidan Curtis Minjian Xin Dilip Arumugam Kevin T. Feigelis Daniel L. K. Yamins 15 6 0 22 Apr 2020
What do you Mean? The Role of the Mean Function in Bayesian Optimisation George De Ath J. Fieldsend Richard Everson 19 16 0 17 Apr 2020
$ε$ -shotgun: $ε$ -greedy Batch Bayesian Optimisation George De Ath Richard Everson J. Fieldsend Alma A. M. Rahat 29 15 0 05 Feb 2020
Greed is Good: Exploration and Exploitation Trade-offs in Bayesian Optimisation George De Ath Richard Everson Alma A. M. Rahat J. Fieldsend 25 94 0 28 Nov 2019
Efficient Bimanual Manipulation Using Learned Task Schemas Rohan Chitnis Shubham Tulsiani Saurabh Gupta Abhinav Gupta 28 73 0 30 Sep 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 36 356 0 06 Jul 2019
Batch Active Learning Using Determinantal Point Processes Erdem Biyik Kenneth Wang Nima Anari Dorsa Sadigh 19 61 0 19 Jun 2019
From semantics to execution: Integrating action planning with reinforcement learning for robotic causal problem-solving Manfred Eppe Phuong D. H. Nguyen S. Wermter 22 41 0 23 May 2019
Anytime Integrated Task and Motion Policies for Stochastic Environments Naman Shah Deepak Kala Vasudevan Kislay Kumar Pranav Kamojjhala Siddharth Srivastava 13 29 0 30 Apr 2019
Bayesian Search for Robust Optima Nicholas D. Sanders Richard Everson J. Fieldsend Alma A. M. Rahat 17 3 0 25 Apr 2019
Residual Policy Learning Tom Silver Kelsey R. Allen J. Tenenbaum L. Kaelbling OffRL 23 172 0 15 Dec 2018
Learning Quickly to Plan Quickly Using Modular Meta-Learning Rohan Chitnis L. Kaelbling Tomás Lozano-Pérez 19 26 0 20 Sep 2018
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016