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Learning compositional models of robot skills for task and motion
  planning

Learning compositional models of robot skills for task and motion planning

8 June 2020
Zi Wang
Caelan Reed Garrett
L. Kaelbling
Tomás Lozano-Pérez
ArXivPDFHTML

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

20 / 20 papers shown
Title
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
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
Collaborative Planar Pushing of Polytopic Objects with Multiple Robots
  in Complex Scenes
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
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
55
18
0
22 Feb 2024
Task-Oriented Active Learning of Model Preconditions for Inaccurate
  Dynamics Models
Task-Oriented Active Learning of Model Preconditions for Inaccurate Dynamics Models
A. LaGrassa
Moonyoung Lee
Oliver Kroemer
23
2
0
08 Jan 2024
Offline Skill Generalization via Task and Motion Planning
Offline Skill Generalization via Task and Motion Planning
Shin Watanabe
Geir Horn
J. Tørresen
K. Ellefsen
OffRL
20
0
0
24 Nov 2023
Embodied Lifelong Learning for Task and Motion Planning
Embodied Lifelong Learning for Task and Motion Planning
Jorge Armando Mendez Mendez
L. Kaelbling
Tomás Lozano-Pérez
32
16
0
13 Jul 2023
DiMSam: Diffusion Models as Samplers for Task and Motion Planning under
  Partial Observability
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
D. Fox
DiffM
33
17
0
22 Jun 2023
Learning Neuro-symbolic Programs for Language Guided Robot Manipulation
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
24
15
0
12 Nov 2022
Challenges in Applying Robotics to Retail Store Management
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
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
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
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
Geometric Task Networks: Learning Efficient and Explainable Skill Coordination for Object Manipulation
Meng Guo
Mathias Bürger
27
9
0
18 Sep 2021
Search-Based Task Planning with Learned Skill Effect Models for Lifelong
  Robotic Manipulation
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
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
SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon
  Manipulation in Dynamic Environments
SyDeBO: Symbolic-Decision-Embedded Bilevel Optimization for Long-Horizon Manipulation in Dynamic Environments
Zhigen Zhao
Ziyi Zhou
Michael Park
Ye Zhao
9
13
0
21 Oct 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Truncated Variance Reduction: A Unified Approach to Bayesian
  Optimization and Level-Set Estimation
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
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
Determinantal point processes for machine learning
Determinantal point processes for machine learning
Alex Kulesza
B. Taskar
162
1,123
0
25 Jul 2012
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