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Navigation research is attracting renewed interest with the advent of learning-based methods.
Improving generalization for temporal difference learning: The successor representation
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Probabilistic Robotics
S. Thrun, W. Burgard, and D. Fox · 2005
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Simultaneous localization and mapping: Part I
H. F. Durrant-Whyte and T. Bailey · 2006
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Planning Algorithms
S. M. LaValle · 2006
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Stanley: The robot that won the DARPA Grand Challenge
S. Thrun, M. Montemerlo, H. Dahlkamp, D. Stavens, A. Aron, J. Diebel, P. Fong, J. Gale, M. Halpenny, et al · 2006
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Visual navigation for mobile robots: A survey
F. Bonin-Font, A. Ortiz, and G. Oliver · 2008
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Vision based MAV navigation in unknown and unstructured environments
M. Blösch, S. Weiss, D. Scaramuzza, and R. Siegwart · 2010
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Vision-based topological mapping and localization methods
E. Garcia-Fidalgo and A. Ortiz · 2015
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Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2015
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Empirical evaluation of rectified activations in convolutional network
B. Xu, N. Wang, T. Chen, and M. Li · 2015
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Playing Doom with SLAM-augmented deep reinforcement learning
S. Bhatti, A. Desmaison, O. Miksik, N. Nardelli, N. Siddharth, and P. H. S. Torr · 2016
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Past, present, and future of simultaneous localization and mapping: Toward the robust-perception age
C. Cadena, L. Carlone, H. Carrillo, Y. Latif, D. Scaramuzza, J. Neira, I. D. Reid, and J. J. Leonard · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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ANYmal - a highly mobile and dynamic quadrupedal robot
M. Hutter, C. Gehring, D. Jud, A. Lauber, D. Bellicoso, V. Tsounis, J. Hwangbo, K. Bodie, P. Fankhauser, M. Bloesch, R. Diethelm, S. Bachmann, A. Melzer, and M. A. Höpflinger · 2016
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Asynchronous methods for deep reinforcement learning
V. Mnih, A. P. Badia, M. Mirza, A. Graves, T. P. Lillicrap, T. Harley, D. Silver, and K. Kavukcuoglu · 2016
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Control of memory, active perception, and action in Minecraft
J. Oh, V. Chockalingam, S. P. Singh, and H. Lee · 2016
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Value iteration networks
A. Tamar, S. Levine, P. Abbeel, Y. Wu, and G. Thomas · 2016
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Successor features for transfer in reinforcement learning
A. Barreto, W. Dabney, R. Munos, J. J. Hunt, T. Schaul, H. P. van Hasselt, and D. Silver · 2017
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Matterport3D: Learning from RGB-D data in indoor environments
A. Chang, A. Dai, T. Funkhouser, M. Halber, M. Niessner, M. Savva, S. Song, A. Zeng, and Y. Zhang · 2017
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Learning to act by predicting the future
A. Dosovitskiy and V. Koltun · 2017
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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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Learning deployable navigation policies at kilometer scale from a single traversal
J. Bruce, N. Sunderhauf, P. Mirowski, R. Hadsell, and M. Milford · 2018
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Active neural localization
D. S. Chaplot, E. Parisotto, and R. Salakhutdinov · 2018
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IMPALA: Scalable distributed deep-RL with importance weighted actor-learner architectures
L. Espeholt, H. Soyer, R. Munos, K. Simonyan, V. Mnih, T. Ward, Y. Doron, V. Firoiu, T. Harley, I. Dunning, S. Legg, and K. Kavukcuoglu · 2018
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MapNet: An allocentric spatial memory for mapping environments
J. F. Henriques and A. Vedaldi · 2018
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Differentiable particle filters: End-to-end learning with algorithmic priors
R. Jonschkowski, D. Rastogi, and O. Brock · 2018
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Particle filter networks with application to visual localization
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Reinforcement learning with unsupervised auxiliary tasks
M. Jaderberg, V. Mnih, W. M. Czarnecki, T. Schaul, J. Z. Leibo, D. Silver, and K. Kavukcuoglu · 2017
Cited alongside, same era.
QMDP-Net: Deep learning for planning under partial observability
P. Karkus, D. Hsu, and W. S. Lee · 2017
Cited alongside, same era.
Learning to navigate in complex environments
P. Mirowski, R. Pascanu, F. Viola, H. Soyer, A. J. Ballard, A. Banino, M. Denil, R. Goroshin, L. Sifre, K. Kavukcuoglu, D. Kumaran, and R. Hadsell · 2017
Cited alongside, same era.
ORB-SLAM2: An open-source SLAM system for monocular, stereo and RGB-D cameras
R. Mur Artal and J. D. Tardós · 2017
Cited alongside, same era.
Automatic differentiation in PyTorch
A. Paszke, S. Gross, S. Chintala, G. Chanan, E. Yang, Z. DeVito, Z. Lin, A. Desmaison, L. Antiga, and A. Lerer · 2017
Cited alongside, same era.
MINOS: Multimodal indoor simulator for navigation in complex environments
M. Savva, A. X. Chang, A. Dosovitskiy, T. Funkhouser, and V. Koltun · 2017
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P. Karkus, D. Hsu, and W. S. Lee · 2018
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Memory augmented control networks
A. Khan, C. Zhang, N. Atanasov, K. Karydis, V. Kumar, and D. D. Lee · 2018
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Gated path planning networks
L. Lee, E. Parisotto, D. S. Chaplot, E. Xing, and R. Salakhutdinov · 2018
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Neural map: Structured memory for deep reinforcement learning
E. Parisotto and R. Salakhutdinov · 2018
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Semi-parametric topological memory for navigation
N. Savinov, A. Dosovitskiy, and V. Koltun · 2018
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Group normalization
Y. Wu and K. He · 2018
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Building generalizable agents with a realistic and rich 3D environment
Y. Wu, Y. Wu, G. Gkioxari, and Y. Tian · 2018
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Gibson Env: Real-world perception for embodied agents
F. Xia, A. R. Zamir, Z.-Y. He, A. Sax, J. Malik, and S. Savarese · 2018
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Egocentric spatial memory
M. Zhang, K. T. Ma, S.-C. Yen, J. H. Lim, Q. Zhao, and J. Feng · 2018
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Revisiting single image depth estimation: Toward higher resolution maps with accurate object boundaries
J. Hu, M. Ozay, Y. Zhang, and T. Okatani · 2019
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