Learning compositional models of robot skills for task and motion planning

8 June 2020

Tomás Lozano-Pérez

Papers citing "Learning compositional models of robot skills for task and motion planning"

24 / 24 papers shown

Title
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics Yixuan Huang Christopher Agia Jimmy Wu Tucker Hermans Jeannette Bohg 3DPC 49 1 0 27 Aug 2024
COAST: Constraints and Streams for Task and Motion Planning Brandon Vu Toki Migimatsu Jeannette Bohg 31 6 0 14 May 2024
Collaborative Planar Pushing of Polytopic Objects with Multiple Robots in Complex Scenes Zili Tang Yuming Feng Meng Guo 37 1 0 13 May 2024
Practice Makes Perfect: Planning to Learn Skill Parameter Policies Nishanth Kumar Tom Silver Willie McClinton Linfeng Zhao Stephen Proulx Tomás Lozano-Pérez L. Kaelbling Jennifer Barry 64 18 0 22 Feb 2024
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models A. LaGrassa Moonyoung Lee Oliver Kroemer 26 3 0 08 Jan 2024
Offline Skill Generalization via Task and Motion Planning Shin Watanabe Geir Horn J. Tørresen K. Ellefsen OffRL 28 0 0 24 Nov 2023
Embodied Lifelong Learning for Task and Motion Planning Jorge Armando Mendez Mendez L. Kaelbling Tomás Lozano-Pérez 36 16 0 13 Jul 2023
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under Partial Observability Xiaolin Fang Caelan Reed Garrett Clemens Eppner Tomás Lozano-Pérez L. Kaelbling Dieter Fox DiffM 33 17 0 22 Jun 2023
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds Daniel Seita Yufei Wang Sarthak J. Shetty Edward Li Zackory M. Erickson David Held 3DPC 30 49 0 16 Nov 2022
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation Namasivayam Kalithasan H. Singh Vishal Bindal Arnav Tuli Vishwajeet Agrawal Rahul Jain Parag Singla Rohan Paul LM&Ro 27 15 0 12 Nov 2022
Challenges in Applying Robotics to Retail Store Management Vartika Sengar Aditya Kapoor Nijil George Vighnesh Vatsal J. Gubbi P. Balamuralidhar Arpan Pal 30 4 0 18 Aug 2022
Learning Efficient Abstract Planning Models that Choose What to Predict Nishanth Kumar Willie McClinton Rohan Chitnis Tom Silver Tomás Lozano-Pérez L. Kaelbling 32 18 0 16 Aug 2022
Learning Neuro-Symbolic Skills for Bilevel Planning Tom Silver Ashay Athalye J. Tenenbaum Tomas Lozano-Perez L. Kaelbling 37 59 0 21 Jun 2022
Learning to Search in Task and Motion Planning with Streams M. Khodeir Ben Agro Florian Shkurti 30 26 0 25 Nov 2021
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation Meng Guo Mathias Bürger 35 9 0 18 Sep 2021
Search-Based Task Planning with Learned Skill Effect Models for Lifelong Robotic Manipulation Jacky Liang Mohit Sharma A. LaGrassa Shivam Vats Saumya Saxena Oliver Kroemer 67 31 0 17 Sep 2021
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances Aidan Curtis Xiaolin Fang L. Kaelbling Tomás Lozano-Pérez Caelan Reed Garrett 152 63 0 09 Aug 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
MAGIC: Learning Macro-Actions for Online POMDP Planning Yiyuan Lee Panpan Cai David Hsu 19 21 0 07 Nov 2020
SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments Zhigen Zhao Ziyi Zhou Michael Park Ye Zhao 11 13 0 21 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,675 0 05 Dec 2016
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation Ilija Bogunovic Jonathan Scarlett Andreas Krause V. Cevher 72 89 0 24 Oct 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,145 0 06 Jun 2015
Determinantal point processes for machine learning Alex Kulesza B. Taskar 176 1,124 0 25 Jul 2012