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Physically rearranging objects is an important capability for embodied agents.
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Objectnav revisited: On evaluation of embodied agents navigating to objects
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Rearrangement: A challenge for embodied ai
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J. E. King, M. Cognetti, and S. S. Srinivasa · 2016
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Efficiently solving general rearrangement tasks: A fast extension primitive for an incremental sampling-based planner
A. Krontiris and K. E. Bekris · 2016
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Cognitive mapping and planning for visual navigation
S. Gupta, J. Davidson, S. Levine, R. Sukthankar, and J. Malik · 2017
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K. He, G. Gkioxari, P. Dollár, and R. B. Girshick · 2017
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T. Lin, P. Dollár, R. B. Girshick, K. He, B. Hariharan, and S. J. Belongie · 2017
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A persistent spatial semantic representation for high-level natural language instruction execution
V. Blukis, C. Paxton, D. Fox, A. Garg, and Y. Artzi · 2021
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SEAL: self-supervised embodied active learning using exploration and 3d consistency
D. S. Chaplot, M. Dalal, S. Gupta, J. Malik, and R. Salakhutdinov · 2021
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Core challenges in embodied vision-language planning
J. Francis, N. Kitamura, F. Labelle, X. Lu, I. Navarro, and J. Oh · 2021
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FILM: following instructions in language with modular methods
S. Y. Min, D. S. Chaplot, P. Ravikumar, Y. Bisk, and R. Salakhutdinov · 2021
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A. Pashevich, C. Schmid, and C. Sun · 2021
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Embodied Question Answering
A. Das, S. Datta, G. Gkioxari, S. Lee, D. Parikh, and D. Batra · 2018
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IQA: Visual question answering in interactive environments
D. Gordon, A. Kembhavi, M. Rastegari, J. Redmon, D. Fox, and A. Farhadi · 2018
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Rearrangement with nonprehensile manipulation using deep reinforcement learning
W. Yuan, J. A. Stork, D. Kragic, M. Y. Wang, and K. Hang · 2018
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A behavioral approach to visual navigation with graph localization networks
K. Chen, J. P. de Vicente, G. Sepulveda, F. Xia, A. Soto, M. Vazquez, and S. Savarese · 2019
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Visual semantic navigation using scene priors
W. Yang, X. Wang, A. Farhadi, A. Gupta, and R. Mottaghi · 2019
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Monte-carlo tree search for efficient visually guided rearrangement planning
Y. Labbé, S. Zagoruyko, I. Kalevatykh, I. Laptev, J. Carpentier, M. Aubry, and J. Sivic · 2020
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Nerp: Neural rearrangement planning for unknown objects
A. H. Qureshi, A. Mousavian, C. Paxton, M. C. Yip, and D. Fox · 2021
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Kimera: from SLAM to spatial perception with 3D dynamic scene graphs
A. Rosinol, A. Violette, M. Abate, N. Hughes, Y. Chang, J. Shi, A. Gupta, and L. Carlone · 2021
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Factorizing perception and policy for interactive instruction following
K. P. Singh, S. Bhambri, B. Kim, R. Mottaghi, and J. Choi · 2021
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Visual room rearrangement
L. Weihs, M. Deitke, A. Kembhavi, and R. Mottaghi · 2021
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Rigidfusion: Rgb-d scene reconstruction with rigidly-moving objects
Y.-S. Wong, C. Li, M. Niessner, and N. J. Mitra · 2021
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Auxiliary tasks and exploration enable objectnav
J. Ye, D. Batra, A. Das, and E. Wijmans · 2021
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Continuous scene representations for embodied AI
S. Y. Gadre, K. Ehsani, S. Song, and R. Mottaghi · 2022
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IFOR: iterative flow minimization for robotic object rearrangement
A. Goyal, A. Mousavian, C. Paxton, Y. Chao, B. Okorn, J. Deng, and D. Fox · 2022
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