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There has been a significant recent progress in the field of Embodied AI with researchers developing models and algorithms enabling embodied agents to navigate and interact within completely unseen environments.
Practical pushing planning for rearrangement tasks
Ohad Ben-Shahar and Ehud Rivlin · 1996
Earlier work this paper cites.
Long short-term memory
S. Hochreiter and J. Schmidhuber · 1997
Earlier work this paper cites.
Manipulation planning among movable obstacles
Mike Stilman, Jan-Ullrich Schamburek, James Kuffner, and Tamim Asfour · 2007
Earlier work this paper cites.
Sampling-based motion and symbolic action planning with geometric and differential constraints
Erion Plaku and Gregory D Hager · 2010
Earlier work this paper cites.
Combining motion planning and optimization for flexible robot manipulation
Jonathan Scholz and Mike Stilman · 2010
Earlier work this paper cites.
Push planning for object placement on cluttered table surfaces
Akansel Cosgun, Tucker Hermans, Victor Emeli, and Mike Stilman · 2011
Earlier work this paper cites.
A framework for push-grasping in clutter
Mehmet Dogar and Siddhartha Srinivasa · 2011
Earlier work this paper cites.
Hierarchical task and motion planning in the now
Leslie Pack Kaelbling and Tomás Lozano-Pérez · 2011
Earlier work this paper cites.
A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell · 2011
Earlier work this paper cites.
Rearranging similar objects with a manipulator using pebble graphs
Athanasios Krontiris, Rahul Shome, Andrew Dobson, Andrew Kimmel, and Kostas Bekris · 2014
Earlier work this paper cites.
Combined task and motion planning through an extensible planner-independent interface layer
Siddharth Srivastava, Eugene Fang, Lorenzo Riano, Rohan Chitnis, Stuart Russell, and Pieter Abbeel · 2014
Earlier work this paper cites.
Nonprehensile whole arm rearrangement planning on physics manifolds
Jennifer King, Joshua Haustein, Siddhartha Srinivasa, and Tamim Asfour · 2015
Earlier work this paper cites.
Dealing with difficult instances of object rearrangement
Athanasios Krontiris and Kostas E Bekris · 2015
Earlier work this paper cites.
Incremental task and motion planning: A constraint-based approach
Neil T Dantam, Zachary K Kingston, Swarat Chaudhuri, and Lydia E Kavraki · 2016
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Rearrangement planning using object-centric and robot-centric action spaces
Jennifer E King, Marco Cognetti, and Siddhartha S Srinivasa · 2016
Earlier work this paper cites.
Efficiently solving general rearrangement tasks: A fast extension primitive for an incremental sampling-based planner
A. Krontiris and K. E. Bekris · 2016
Earlier work this paper cites.
Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu · 2016
Earlier work this paper cites.
A method for stochastic optimization
D. Kingma and J. Ba · 2017
Earlier work this paper cites.
AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Daniel Gordon, Yuke Zhu, Abhinav Gupta, and Ali Farhadi · 2017
Cited alongside, same era.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Cited alongside, same era.
Visual semantic planning using deep successor representations
Yuke Zhu, Daniel Gordon, Eric Kolve, Dieter Fox, Li Fei-Fei, Abhinav Gupta, Roozbeh Mottaghi, and Ali Farhadi · 2017
Cited alongside, same era.
On evaluation of embodied navigation agents
Peter Anderson, Angel Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, and Amir R. Zamir · 2018
Cited alongside, same era.
Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, and Anton van den Hengel · 2018
Cited alongside, same era.
Objectnav revisited: On evaluation of embodied agents navigating to objects
Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, A. Toshev, and Erik Wijmans · 2020
Later among the works it cites.
Self-supervised learning for precise pick-and-place without object model
Lars Berscheid, Pascal Meißner, and Torsten Kröger · 2020
Later among the works it cites.
Object goal navigation using goal-oriented semantic exploration
Devendra Singh Chaplot, Dhiraj Gandhi, Abhinav Gupta, and Ruslan Salakhutdinov · 2020
Later among the works it cites.
Learning to explore using active neural slam
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, and Ruslan Salakhutdinov · 2020
Later among the works it cites.
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform
Matt Deitke, Winson Han, Alvaro Herrasti, Aniruddha Kembhavi, Eric Kolve, Roozbeh Mottaghi, Jordi Salvador, Dustin Schwenk, Eli VanderBilt, Matthew Wallingford, Luca Weihs, Mark Yatskar, and Ali Farhadi · 2020
Later among the works it cites.
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Analysis and observations from the first amazon picking challenge
Nikolaus Correll, Kostas E. Bekris, Dmitry Berenson, Oliver Brock, Albert Causo, Kris Hauser, Kei Okada, Alberto Rodriguez, Joseph M. Romano, and Peter R. Wurman · 2018
Cited alongside, same era.
Embodied Question Answering
Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, and Dhruv Batra · 2018
Cited alongside, same era.
Surreal: Open-source reinforcement learning framework and robot manipulation benchmark
Linxi Fan, Yuke Zhu, Jiren Zhu, Zihua Liu, Orien Zeng, Anchit Gupta, Joan Creus-Costa, Silvio Savarese, and Li Fei-Fei · 2018
Cited alongside, same era.
Ffrob: Leveraging symbolic planning for efficient task and motion planning
Caelan Reed Garrett, Tomas Lozano-Perez, and Leslie Pack Kaelbling · 2018
Cited alongside, same era.
IQA: Visual question answering in interactive environments
Daniel Gordon, Aniruddha Kembhavi, Mohammad Rastegari, Joseph Redmon, Dieter Fox, and Ali Farhadi · 2018
Cited alongside, same era.
Pick and place without geometric object models
Marcus Gualtieri, Andreas ten Pas, and Robert Platt · 2018
Cited alongside, same era.
Rearrangement with nonprehensile manipulation using deep reinforcement learning
Weihao Yuan, Johannes A Stork, Danica Kragic, Michael Y Wang, and Kaiyu Hang · 2018
Cited alongside, same era.
Cognitive mapping and planning for visual navigation
Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, and Jitendra Malik · 2020
Later among the works it cites.
A cordial sync: Going beyond marginal policies for multi-agent embodied tasks
Unnat Jain, Luca Weihs, Eric Kolve, Ali Farhadi, Svetlana Lazebnik, Aniruddha Kembhavi, and Alexander G. Schwing · 2020
Later among the works it cites.
Monte-carlo tree search for efficient visually guided rearrangement planning
Yann Labbé, Sergey Zagoruyko, Igor Kalevatykh, Ivan Laptev, Justin Carpentier, Mathieu Aubry, and Josef Sivic · 2020
Later among the works it cites.
Occupancy anticipation for efficient exploration and navigation
Santhosh K. Ramakrishnan, Ziad Al-Halah, and Kristen Grauman · 2020
Later among the works it cites.
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han, Roozbeh Mottaghi, Luke Zettlemoyer, and Dieter Fox · 2020
Later among the works it cites.
Multi-object rearrangement with monte carlo tree search: A case study on planar nonprehensile sorting
Haoran Song, Joshua A Haustein, Weihao Yuan, Kaiyu Hang, Michael Yu Wang, Danica Kragic, and Johannes A Stork · 2020
Later among the works it cites.
Allenact: A framework for embodied ai research
Luca Weihs, Jordi Salvador, Klemen Kotar, Unnat Jain, Kuo-Hao Zeng, Roozbeh Mottaghi, and Aniruddha Kembhavi · 2020
Later among the works it cites.
Dd-ppo: Learning near-perfect pointgoal navigators from 2.5 billion frames
Erik Wijmans, Abhishek Kadian, Ari S. Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, and Dhruv Batra · 2020
Later among the works it cites.
Relmogen: Leveraging motion generation in reinforcement learning for mobile manipulation
Fei Xia, Chengshu Li, Roberto Martín-Martín, Or Litany, Alexander Toshev, and Silvio Savarese · 2020
Later among the works it cites.
Sapien: A simulated part-based interactive environment
Fanbo Xiang, Yuzhe Qin, Kaichun Mo, Yikuan Xia, Hao Zhu, Fangchen Liu, Minghua Liu, Hanxiao Jiang, Yifu Yuan, He Wang, Li Yi, Angel X. Chang, Leonidas J. Guibas, and Hao Su · 2020
Later among the works it cites.
Meta-world: A benchmark and evaluation for multi-task and meta reinforcement learning
Tianhe Yu, Deirdre Quillen, Zhanpeng He, Ryan Julian, Karol Hausman, Chelsea Finn, and Sergey Levine · 2020
Later among the works it cites.
Form2fit: Learning shape priors for generalizable assembly from disassembly
Kevin Zakka, Andy Zeng, Johnny Lee, and Shuran Song · 2020
Later among the works it cites.
Learning generalizable visual representations via interactive gameplay
Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani, Sarah M. Pratt, Winson Han, Alvaro Herrasti, Eric Kolve, Dustin Schwenk, Roozbeh Mottaghi, and Ali Farhadi · 2021
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