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We present a semantically rich graph representation for indoor robotic navigation.
G. Walter, “An imitation of life,” Scientific American , vol. 182, no. 5, 1950
1950
Earlier work this paper cites.
B. Kuipers, “Modeling spatial knowledge,” Cognitive Science , vol. 2, pp. 129–153, 1978
1978
Earlier work this paper cites.
J. O’Keefe and L. Nadel, The Hippocampus as a Cognitive Map . Oxford University Press, UK, 1978
1978
Earlier work this paper cites.
J. Gibson, The ecological approach to visual perception . L. Erlbaum Associates, 1986
1986
Earlier work this paper cites.
R. Brooks, “A robust layered control system for a mobile robot,” IEEE Journal on Robotics and Automation , vol. 2, no. 1, pp. 14–23, 1986
1986
Earlier work this paper cites.
R. Brooks, “A robot that walks; emergent behaviors from a carefully evolved network,” MIT AI Lab, Memo 1091 , 1989
1989
Earlier work this paper cites.
A. Elfes, “Occupancy grids: A probabilistic framework for robot perception and navigation,” Ph.D. dissertation, Department of Electrical and Computer Engineering, Carnegie Mellon University, 1989
1989
Earlier work this paper cites.
R. Smith, M. Self, and P. Cheeseman, Aut. Robot Vehicles . Springer-Verlag, 1990, ch. Estimating Uncertain Spatial Relationships in Robotics, pp. 167–193
1990
Earlier work this paper cites.
J. Latombe, Robot motion planning . Kluwer Academic, 1991
1991
Earlier work this paper cites.
I. Horswill, “Polly: A vision-based artificial agent,” in AAAI , 1993
1993
Earlier work this paper cites.
D. Pomerleau, Neural Network Perception for Mobile Robot Guidance . Boston: Kluwer Academic Publishers, 1993
1993
Earlier work this paper cites.
M. Montemerlo, S. Thrun, D. Koller, and B. Wegbreit, “Fastslam: A factored solution to the simultaneous localization and mapping problem,” in 18th National Conference on Artificial Intelligence , 2002
2002
Earlier work this paper cites.
T. Hafting, M. Fyhn, S. Molden, M. Moser, and E. Moser, “Microstructure of a spatial map in the entorhinal cortex,” Nature , vol. 36, no. 11, pp. 801–806, 2005
2005
Earlier work this paper cites.
S. Thrun, W. Burgard, and D. Fox, Probabilistic Robotics . New York: Cambridge University Press, 2006
2006
Earlier work this paper cites.
S. Thrun and M. Montemerlo, “The graph SLAM algorithm with applications to large-scale mapping of urban structures,” Int. J. Rob. Res. , vol. 25, no. 5-6, pp. 403–429, 2006
2006
Earlier work this paper cites.
F. Dellaert and M. Kaess, “Square root SAM: Simultaneous localization and mapping via square root information smoothing,” Int. Journal of Robotics Research , vol. 25, no. 12, pp. 1181–1203, 2006
2006
Earlier work this paper cites.
A. Araneda, S. Fienberg, and A. Soto, “A statistical approach to simultaneous mapping and localization for mobile robots,” Annals of Applied Statistics , vol. 1, no. 1, pp. 66–84, 2007
2007
Earlier work this paper cites.
A. Davison, I. Reid, N. Molton, and O. Stasse, “MonoSLAM: Real-time single camera SLAM,” PAMI , vol. 29, no. 6, pp. 1052–1067, 2007
2007
Cited alongside, same era.
M. Kaess, A. Ranganathan, and F. Dellaert, “iSAM: Fast incremental smoothing and mapping with efficient data association,” in ICRA , 2007
2007
Cited alongside, same era.
M. Cummins and P. Newman, “FAB-MAP: Probabilistic Localization and Mapping in the Space of Appearance,” The International Journal of Robotics Research , vol. 27, no. 6, pp. 647–665, 2008
2008
Cited alongside, same era.
E. Olson, “Real-time correlative scan matching,” in ICRA , 2009
2009
Cited alongside, same era.
G. Grisetti, R. Kümmerle, C. Stachniss, and W. Burgard, “A tutorial on graph-based SLAM,” IEEE Transactions on Intelligent Transportation Systems Magazine , vol. 2, pp. 31–43, 2010
2010
S. Ioffe and C. Szegedy, “Batch normalization: Accelerating deep network training by reducing internal covariate shift,” in ICML , 2015
2015
Later among the works it cites.
2016
Later among the works it cites.
J. Andreas, M. Rohrbach, T. Darrell, and D. Klein, “Neural module networks,” in CVPR , 2016
2016
Later among the works it cites.
D. Gálvez-López, M. Salas, J. Tardós, and J. Montiel, “Real-time monocular object SLAM,” Journal Robotics and Autonomous Systems , vol. 75, pp. 435–449, 2016
2016
Later among the works it cites.
J. Oh, V. Chockalingam, S. Singh, and H. Lee, “Control of memory, active perception, and action in minecraft,” in ICML , 2016
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Cited alongside, same era.
A. S. Huang, A. Bachrach, P. Henry, M. Krainin, D. Maturana, D. Fox, and N. Roy, “Visual odometry and mapping for autonomous flight using an RGB-D camera,” in Proceedings of the International Symposium of Robotics Research (ISRR) , 2011
2011
Cited alongside, same era.
S. Karaman and E. Frazzoli, “Sampling-based algorithms for optimal motion planning,” Int. J. of Robotics Research , vol. 30, no. 7, 2011
2011
Cited alongside, same era.
J. Fuentes-Pacheco, J. Ruiz-Ascencio, and J. Rendon-Mancha, “Visual simultaneous localization and mapping: a survey,” Artificial Intelligence Review , vol. 43, no. 1, pp. 55–81, 2012
2012
Cited alongside, same era.
I. Şucan, M. Moll, and L. Kavraki, “The Open Motion Planning Library,” IEEE Robotics & Automation Magazine , vol. 19, no. 4, pp. 72–82, 2012
2012
Cited alongside, same era.
P. Espinace, T. Kollar, N. Roy, and A. Soto, “Indoor scene recognition by a mobile robot through adaptive object detection,” Robotics and Autonomous Systems , vol. 61, no. 9, 2013
2013
Cited alongside, same era.
I. Reid, “Towards semantic visual SLAM,” in Int. Conf. on Control Automation Robotics Vision (ICARCV) , 2014
2014
Cited alongside, same era.
2014
Cited alongside, same era.
2016
Later among the works it cites.
A. Giusti, J. Guzzi, D. Ciresan, F. He, J. Rodriguez, F. Fontana, M. Faessler, C. Forster, J. Schmidhuber, G. Di-Caro, D. Scaramuzza, and L. Gambardella, “A machine learning approach to visual perception of forest trails for mobile robots,” IEEE Robotics and Automation Letters , vol. 1, no. 2, 2016
2016
Later among the works it cites.
2016
Later among the works it cites.
S. Bowman, N. Atanasov, K. Daniilidis, and G. Pappas, “Probabilistic data association for semantic SLAM,” in ICRA , 2017
2017
Later among the works it cites.
Y. Zhu, R. Mottaghi, E. Kolve, J. J. Lim, A. Gupta, L. Fei-Fei, and A. Farhadi, “Target-driven visual navigation in indoor scenes using deep reinforcement learning,” in ICRA , 2017
2017
Later among the works it cites.
J. Johnson, B. Hariharan, L. van der Maaten, J. Hoffman, L. Fei-Fei, C. Zitnick, and R. Girshick, “Inferring and executing programs for visual reasoning,” in CVPR , 2017
2017
Later among the works it cites.
S. Gupta, J. Davidson, S. Levine, R. Sukthankar, and J. Malik, “Cognitive mapping and planning for visual navigation,” in CVPR , 2017
2017
Later among the works it cites.
2017
Later among the works it cites.
P. Mirowski, R. Pascanu, F. Viola, H. Soyer, A. Ballard, A. Banino, M. Denil, R. Goroshin, L. Sifre, K. Kavukcuoglu, D. Kumaran, and R. Hadsell, “Learning to navigate in complex environments,” in ICLR , 2017
2017
Later among the works it cites.
P. Sermanet, K. Xu, and S. Levine, “Unsupervised perceptual rewards for imitation learning,” in Robotics: Science and Systems , 2017
2017
Later among the works it cites.
I. Armeni, A. Sax, A. Zamir, and S. Savarese, “Joint 2d-3d-semantic data for indoor scene understanding,” in CVPR , 2017
2017
Later among the works it cites.
X. Zang, M. Vázquez, J. Niebles, A. Soto, and S. Savarese, “Behavioral indoor navigation with natural language directions,” in HRI , 2018
2018
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