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Improvisation through Physical Understanding: Using Novel Objects as
  Tools with Visual Foresight

Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight

11 April 2019
Annie Xie
F. Ebert
Sergey Levine
Chelsea Finn
    LM&Ro
ArXivPDFHTML

Papers citing "Improvisation through Physical Understanding: Using Novel Objects as Tools with Visual Foresight"

18 / 18 papers shown
Title
Dynamic Robot Tool Use with Vision Language Models
Dynamic Robot Tool Use with Vision Language Models
Noah Trupin
Zixing Wang
A. H. Qureshi
37
0
0
02 May 2025
Adaptive Robotic Tool-Tip Control Learning Considering Online Changes in
  Grasping State
Adaptive Robotic Tool-Tip Control Learning Considering Online Changes in Grasping State
Kento Kawaharazuka
K. Okada
Masayuki Inaba
29
6
0
10 Jul 2024
DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via
  Deformable Objects
DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects
Zixing Wang
A. H. Qureshi
19
2
0
22 May 2023
DayDreamer: World Models for Physical Robot Learning
DayDreamer: World Models for Physical Robot Learning
Philipp Wu
Alejandro Escontrela
Danijar Hafner
Ken Goldberg
Pieter Abbeel
47
276
0
28 Jun 2022
Leveraging Language for Accelerated Learning of Tool Manipulation
Leveraging Language for Accelerated Learning of Tool Manipulation
Allen Z. Ren
Bharat Govil
Tsung-Yen Yang
Karthik Narasimhan
Anirudha Majumdar
LM&Ro
17
37
0
27 Jun 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable
  Object Manipulations with Tools
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools
Xingyu Lin
Zhiao Huang
Yunzhu Li
J. Tenenbaum
David Held
Chuang Gan
24
72
0
31 Mar 2022
All You Need is LUV: Unsupervised Collection of Labeled Images using
  Invisible UV Fluorescent Indicators
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators
Brijen Thananjeyan
J. Kerr
Huang Huang
Joseph E. Gonzalez
Ken Goldberg
26
9
0
09 Mar 2022
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
24
78
0
16 Sep 2021
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Gap-Dependent Unsupervised Exploration for Reinforcement Learning
Jingfeng Wu
Vladimir Braverman
Lin F. Yang
22
12
0
11 Aug 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
37
270
0
16 Apr 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video
  Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
24
99
0
06 Mar 2021
COG: Connecting New Skills to Past Experience with Offline Reinforcement
  Learning
COG: Connecting New Skills to Past Experience with Offline Reinforcement Learning
Avi Singh
Albert Yu
Jonathan Yang
Jesse Zhang
Aviral Kumar
Sergey Levine
SSL
OffRL
OnRL
32
103
0
27 Oct 2020
A Mechanical Screwing Tool for 2-Finger Parallel Grippers -- Design,
  Optimization, and Manipulation Policies
A Mechanical Screwing Tool for 2-Finger Parallel Grippers -- Design, Optimization, and Manipulation Policies
Zhengtao Hu
Weiwei Wan
Keisuke Koyama
Kensuke Harada
6
11
0
18 Jun 2020
Deep Visual Reasoning: Learning to Predict Action Sequences for Task and
  Motion Planning from an Initial Scene Image
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 Predictive Models From Observation and Interaction
Learning Predictive Models From Observation and Interaction
Karl Schmeckpeper
Annie Xie
Oleh Rybkin
Stephen Tian
Kostas Daniilidis
Sergey Levine
Chelsea Finn
DRL
27
60
0
30 Dec 2019
KETO: Learning Keypoint Representations for Tool Manipulation
KETO: Learning Keypoint Representations for Tool Manipulation
Zengyi Qin
Kuan Fang
Yuke Zhu
Li Fei-Fei
Silvio Savarese
3DPC
27
106
0
26 Oct 2019
Rapid trial-and-error learning with simulation supports flexible tool
  use and physical reasoning
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
Kelsey R. Allen
Kevin A. Smith
J. Tenenbaum
LRM
31
108
0
22 Jul 2019
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
230
7,903
0
13 Jun 2015
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