ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2011.08424
  4. Cited By
Deep Affordance Foresight: Planning Through What Can Be Done in the
  Future
v1v2 (latest)

Deep Affordance Foresight: Planning Through What Can Be Done in the Future

IEEE International Conference on Robotics and Automation (ICRA), 2020
17 November 2020
Danfei Xu
Ajay Mandlekar
Roberto Martín-Martín
Yuke Zhu
Silvio Savarese
Li Fei-Fei
ArXiv (abs)PDFHTML

Papers citing "Deep Affordance Foresight: Planning Through What Can Be Done in the Future"

50 / 50 papers shown
NOIR 2.0: Neural Signal Operated Intelligent Robots for Everyday Activities
NOIR 2.0: Neural Signal Operated Intelligent Robots for Everyday Activities
Tasha Kim
Yingke Wang
Hanvit Cho
Alex Hodges
122
4
0
25 Nov 2025
GET-USE: Learning Generalized Tool Usage for Bimanual Mobile Manipulation via Simulated Embodiment Extensions
GET-USE: Learning Generalized Tool Usage for Bimanual Mobile Manipulation via Simulated Embodiment Extensions
Bohan Wu
Paul de La Sayette
L. Fei-Fei
Roberto Martín-Martín
96
0
0
29 Oct 2025
UAD: Unsupervised Affordance Distillation for Generalization in Robotic Manipulation
UAD: Unsupervised Affordance Distillation for Generalization in Robotic ManipulationIEEE International Conference on Robotics and Automation (ICRA), 2025
Yihe Tang
Wenlong Huang
Yingke Wang
Chengshu Li
Roy Yuan
Ruohan Zhang
Jiajun Wu
Li Fei-Fei
384
0
0
10 Jun 2025
Learning Compositional Behaviors from Demonstration and Language
Learning Compositional Behaviors from Demonstration and LanguageConference on Robot Learning (CoRL), 2025
Weiyu Liu
Neil Nie
Ruohan Zhang
Jiayuan Mao
Jiajun Wu
LM&Ro
471
17
0
28 May 2025
MOSAIC: A Skill-Centric Algorithmic Framework for Long-Horizon Manipulation Planning
MOSAIC: A Skill-Centric Algorithmic Framework for Long-Horizon Manipulation Planning
Itamar Mishani
Yorai Shaoul
Maxim Likhachev
379
4
0
23 Apr 2025
IAAO: Interactive Affordance Learning for Articulated Objects in 3D Environments
IAAO: Interactive Affordance Learning for Articulated Objects in 3D EnvironmentsComputer Vision and Pattern Recognition (CVPR), 2025
Can Zhang
G. Lee
313
6
0
09 Apr 2025
Automated Planning Domain Inference for Task and Motion Planning
Automated Planning Domain Inference for Task and Motion PlanningIEEE International Conference on Robotics and Automation (ICRA), 2024
Jinbang Huang
Allen Tao
Rozilyn Marco
Miroslav Bogdanovic
Jonathan Kelly
Florian Shkurti
497
5
0
21 Oct 2024
Generative Factor Chaining: Coordinated Manipulation with
  Diffusion-based Factor Graph
Generative Factor Chaining: Coordinated Manipulation with Diffusion-based Factor GraphConference on Robot Learning (CoRL), 2024
Utkarsh Aashu Mishra
Yongxin Chen
Danfei Xu
LRM
315
12
0
24 Sep 2024
Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
Interpretable Responsibility Sharing as a Heuristic for Task and Motion Planning
Arda Sarp Yenicesu
Sepehr Nourmohammadi
Berk Cicek
Ozgur S. Oguz
299
0
0
09 Sep 2024
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational Dynamics
Points2Plans: From Point Clouds to Long-Horizon Plans with Composable Relational DynamicsIEEE International Conference on Robotics and Automation (ICRA), 2024
Yixuan Huang
Christopher Agia
Jimmy Wu
Tucker Hermans
Jeannette Bohg
3DPC
650
8
0
27 Aug 2024
Affordance Labeling and Exploration: A Manifold-Based Approach
Affordance Labeling and Exploration: A Manifold-Based Approach
Ismail Özçil
A. Koku
348
0
0
22 Jul 2024
LIT: Large Language Model Driven Intention Tracking for Proactive
  Human-Robot Collaboration -- A Robot Sous-Chef Application
LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration -- A Robot Sous-Chef Application
Zhe Huang
John Pohovey
Ananya Yammanuru
Katherine Driggs-Campbell
LM&Ro
240
4
0
19 Jun 2024
Logic-Skill Programming: An Optimization-based Approach to Sequential
  Skill Planning
Logic-Skill Programming: An Optimization-based Approach to Sequential Skill Planning
Teng Xue
Amirreza Razmjoo
Suhan Shetty
Sylvain Calinon
540
10
0
07 May 2024
Empowering Large Language Models on Robotic Manipulation with Affordance
  Prompting
Empowering Large Language Models on Robotic Manipulation with Affordance Prompting
Guangran Cheng
Wei Shen
Wenzhe Cai
Wei Xiong
Changyin Sun
Li Zhao
LM&RoLLMAG
543
26
0
17 Apr 2024
A Survey of Optimization-based Task and Motion Planning: From Classical
  To Learning Approaches
A Survey of Optimization-based Task and Motion Planning: From Classical To Learning ApproachesIEEE/ASME transactions on mechatronics (TAM), 2024
Zhigen Zhao
Shuo Cheng
Yan Ding
Ziyi Zhou
Shiqi Zhang
Danfei Xu
Ye Zhao
613
65
0
03 Apr 2024
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object
  Descriptors
NOD-TAMP: Generalizable Long-Horizon Planning with Neural Object DescriptorsConference on Robot Learning (CoRL), 2023
Shuo Cheng
Caelan Reed Garrett
Ajay Mandlekar
Danfei Xu
547
5
0
02 Nov 2023
NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities
NOIR: Neural Signal Operated Intelligent Robots for Everyday ActivitiesConference on Robot Learning (CoRL), 2023
Ruohan Zhang
Sharon Lee
Minjune Hwang
Ayano Hiranaka
Chen Wang
...
Gabrael Levine
Ruohan Gao
Anthony Norcia
Fei-Fei Li
Jiajun Wu
LM&Ro
243
30
0
02 Nov 2023
Learning to Design and Use Tools for Robotic Manipulation
Learning to Design and Use Tools for Robotic ManipulationConference on Robot Learning (CoRL), 2023
Ziang Liu
Stephen Tian
Michelle Guo
Chenxi Liu
Jiajun Wu
381
17
0
01 Nov 2023
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion
  Models
Generative Skill Chaining: Long-Horizon Skill Planning with Diffusion Models
Utkarsh Aashu Mishra
Shangjie Xue
Yongxin Chen
Danfei Xu
LRM
329
106
0
13 Oct 2023
Primitive Skill-based Robot Learning from Human Evaluative Feedback
Primitive Skill-based Robot Learning from Human Evaluative FeedbackIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Ayano Hiranaka
Minjune Hwang
Sharon Lee
Chen Wang
Li Fei-Fei
Jiajun Wu
Ruohan Zhang
OffRL
269
15
0
28 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 ObservabilityIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Xiaolin Fang
Caelan Reed Garrett
Clemens Eppner
Tomás Lozano-Pérez
L. Kaelbling
Dieter Fox
DiffM
389
29
0
22 Jun 2023
Self-Supervised Learning of Action Affordances as Interaction Modes
Self-Supervised Learning of Action Affordances as Interaction ModesIEEE International Conference on Robotics and Automation (ICRA), 2023
Liquang Wang
Nikita Dvornik
R. Dubeau
Mayank Mittal
Animesh Garg
SSL
180
5
0
27 May 2023
DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via
  Deformable Objects
DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable ObjectsIEEE Robotics and Automation Letters (RA-L), 2023
Zixing Wang
A. H. Qureshi
303
5
0
22 May 2023
STRAP: Structured Object Affordance Segmentation with Point Supervision
STRAP: Structured Object Affordance Segmentation with Point Supervision
Lei Cui
Xiaoxue Chen
Hao Zhao
Guyue Zhou
Yixin Zhu
3DPC
287
10
0
17 Apr 2023
Text2Motion: From Natural Language Instructions to Feasible Plans
Text2Motion: From Natural Language Instructions to Feasible PlansAutonomous Robots (Auton. Robots), 2023
Kevin Qinghong Lin
Christopher Agia
Toki Migimatsu
Marco Pavone
Jeannette Bohg
LM&Ro
608
381
0
21 Mar 2023
Multi-step planning with learned effects of partial action executions
Multi-step planning with learned effects of partial action executions
Hakan Aktas
Utku Bozdoğan
Emre Ugur
218
4
0
16 Mar 2023
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement
  Learning Perspective
Recent Advances of Deep Robotic Affordance Learning: A Reinforcement Learning PerspectiveIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2023
Xintong Yang
Ze Ji
Jing Wu
Yunyu Lai
322
22
0
09 Mar 2023
Embodied Active Learning of Relational State Abstractions for Bilevel
  Planning
Embodied Active Learning of Relational State Abstractions for Bilevel Planning
Amber Li
Tom Silver
245
17
0
08 Mar 2023
Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Using Memory-Based Learning to Solve Tasks with State-Action Constraints
Mrinal Verghese
C. Atkeson
OffRLCLL
183
3
0
08 Mar 2023
Grounded Decoding: Guiding Text Generation with Grounded Models for
  Embodied Agents
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied AgentsNeural Information Processing Systems (NeurIPS), 2023
Wenlong Huang
Fei Xia
Dhruv Shah
Danny Driess
Andy Zeng
...
Pete Florence
Igor Mordatch
Sergey Levine
Karol Hausman
Brian Ichter
LM&Ro
311
88
0
01 Mar 2023
Simulated Mental Imagery for Robotic Task Planning
Simulated Mental Imagery for Robotic Task Planning
Shijia Li
Tomas Kulvicius
M. Tamosiunaite
Florentin Wörgötter
LM&Ro
295
2
0
15 Nov 2022
Active Task Randomization: Learning Robust Skills via Unsupervised
  Generation of Diverse and Feasible Tasks
Active Task Randomization: Learning Robust Skills via Unsupervised Generation of Diverse and Feasible TasksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Kuan Fang
Toki Migimatsu
Ajay Mandlekar
Li Fei-Fei
Jeannette Bohg
209
8
0
11 Nov 2022
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon
  Manipulation
LEAGUE: Guided Skill Learning and Abstraction for Long-Horizon ManipulationIEEE Robotics and Automation Letters (RA-L), 2022
Shuo Cheng
Danfei Xu
354
57
0
23 Oct 2022
STAP: Sequencing Task-Agnostic Policies
STAP: Sequencing Task-Agnostic PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2022
Christopher Agia
Toki Migimatsu
Jiajun Wu
Jeannette Bohg
404
32
0
21 Oct 2022
Learning Preconditions of Hybrid Force-Velocity Controllers for
  Contact-Rich Manipulation
Learning Preconditions of Hybrid Force-Velocity Controllers for Contact-Rich ManipulationConference on Robot Learning (CoRL), 2022
Jacky Liang
Xianyi Cheng
Oliver Kroemer
283
12
0
25 Jun 2022
Recognising Affordances in Predicted Futures to Plan with Consideration
  of Non-canonical Affordance Effects
Recognising Affordances in Predicted Futures to Plan with Consideration of Non-canonical Affordance EffectsIEEE Robotics and Automation Letters (RA-L), 2022
S. Arnold
Mami Kuroishi
Tadashi Adachi
Kimitoshi Yamazaki
144
1
0
22 Jun 2022
Generalizable Task Planning through Representation Pretraining
Generalizable Task Planning through Representation PretrainingIEEE Robotics and Automation Letters (RA-L), 2022
Chen Wang
Danfei Xu
Li Fei-Fei
LM&Ro
369
34
0
16 May 2022
PartAfford: Part-level Affordance Discovery from 3D Objects
PartAfford: Part-level Affordance Discovery from 3D Objects
Chao Xu
Yixin Chen
He Wang
Song-Chun Zhu
Yixin Zhu
Siyuan Huang
265
41
0
28 Feb 2022
Learning to Act with Affordance-Aware Multimodal Neural SLAM
Learning to Act with Affordance-Aware Multimodal Neural SLAMIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022
Zhiwei Jia
Kaixiang Lin
Yizhou Zhao
Qiaozi Gao
Govind Thattai
Gaurav Sukhatme
LM&Ro
308
17
0
24 Jan 2022
The Paradox of Choice: Using Attention in Hierarchical Reinforcement
  Learning
The Paradox of Choice: Using Attention in Hierarchical Reinforcement Learning
A. Nica
Khimya Khetarpal
Doina Precup
190
6
0
24 Jan 2022
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon
  Reasoning
Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon ReasoningInternational Conference on Learning Representations (ICLR), 2021
Dhruv Shah
Peng Xu
Yao Lu
Ted Xiao
Alexander Toshev
Sergey Levine
Brian Ichter
OffRL
304
49
0
04 Nov 2021
Relationship Oriented Affordance Learning through Manipulation Graph
  Construction
Relationship Oriented Affordance Learning through Manipulation Graph Construction
Chao Tang
Jingwen Yu
Weinan Chen
Kuanqi Cai
240
6
0
27 Oct 2021
Augmenting Reinforcement Learning with Behavior Primitives for Diverse
  Manipulation Tasks
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks
Soroush Nasiriany
Huihan Liu
Yuke Zhu
504
136
0
07 Oct 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
285
39
0
17 Sep 2021
Predicting Stable Configurations for Semantic Placement of Novel Objects
Predicting Stable Configurations for Semantic Placement of Novel ObjectsConference on Robot Learning (CoRL), 2021
Chris Paxton
Christopher Xie
Tucker Hermans
Dieter Fox
297
55
0
26 Aug 2021
Temporally Abstract Partial Models
Temporally Abstract Partial ModelsNeural Information Processing Systems (NeurIPS), 2021
Khimya Khetarpal
Zafarali Ahmed
Gheorghe Comanici
Doina Precup
225
17
0
06 Aug 2021
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating
  3D ARTiculated Objects
VAT-Mart: Learning Visual Action Trajectory Proposals for Manipulating 3D ARTiculated ObjectsInternational Conference on Learning Representations (ICLR), 2021
Kai Cheng
Yan Zhao
Kaichun Mo
Zizheng Guo
Yian Wang
Tianhao Wu
Qingnan Fan
Xuelin Chen
Leonidas Guibas
Hao Dong
404
115
0
28 Jun 2021
NeRP: Neural Rearrangement Planning for Unknown Objects
NeRP: Neural Rearrangement Planning for Unknown Objects
A. H. Qureshi
Arsalan Mousavian
Chris Paxton
Michael C. Yip
Dieter Fox
326
67
0
02 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances
What Can I Do Here? Learning New Skills by Imagining Visual AffordancesIEEE International Conference on Robotics and Automation (ICRA), 2021
Alexander Khazatsky
Ashvin Nair
Dan Jing
Sergey Levine
LM&Ro
336
36
0
01 Jun 2021
Learning Robotic Manipulation Tasks via Task Progress based Gaussian
  Reward and Loss Adjusted Exploration
Learning Robotic Manipulation Tasks via Task Progress based Gaussian Reward and Loss Adjusted ExplorationIEEE Robotics and Automation Letters (RA-L), 2021
Sulabh Kumra
Shirin Joshi
F. Sahin
337
17
0
02 Mar 2021
1
Page 1 of 1