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We propose a learning-based navigation system for reaching visually indicated goals and demonstrate this system on a real mobile robot platform.
C. Rosen and N. Nilsson, “Application of intelligent automata to reconnaissance.” in SRI Technical Report , 1967
1967
Earlier work this paper cites.
J. O’Keefe and L. Nadel, The Hippocampus as a Cognitive Map . Oxford: Clarendon Press, 1978
1978
Earlier work this paper cites.
C. Thorpe, M. H. Hebert, T. Kanade, and S. A. Shafer, “Vision and navigation for the carnegie-mellon navlab,” IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 10, no. 3, pp. 362–373, 1988
1988
Earlier work this paper cites.
R. S. Sutton, “Learning to predict by the methods of temporal differences,” Machine Learning , 1988
1988
Earlier work this paper cites.
J. Borenstein and Y. Koren, “Real-time obstacle avoidance for fast mobile robots,” IEEE Transactions on systems, Man, and Cybernetics , vol. 19, no. 5, pp. 1179–1187, 1989
1989
Earlier work this paper cites.
M. Meng and A. C. Kak, “NEURO-NAV: A Neural Network based Architecture for Vision-guided Mobile Robot Navigation using Non-metrical Models of the Environment,” in IEEE International Conference on Robotics and Automation (ICRA) , 1993
1993
Earlier work this paper cites.
——, “Mobile Robot Navigation using Neural Networks and Nonmetrical Environmental Models,” IEEE Control Systems Magazine , 1993
1993
Earlier work this paper cites.
L. P. Kaelbling, “Learning to achieve goals,” in IJCAI . Citeseer, 1993, pp. 1094–1099
1993
Earlier work this paper cites.
E. Krotkov and M. Hebert, “Mapping and positioning for a prototype lunar rover,” in Proceedings of 1995 IEEE International Conference on Robotics and Automation , vol. 3. IEEE, 1995
1995
Earlier work this paper cites.
S. Gillner and H. A. Mallot, “Navigation and acquisition of spatial knowledge in a virtual maze,” Journal of Cognitive Neuroscience , 1998
1998
Earlier work this paper cites.
A. J. Davison and D. W. Murray, “Mobile robot localisation using active vision,” in European conference on computer vision . Springer, 1998, pp. 809–825
1998
Earlier work this paper cites.
F. Dalgleish, S. Tetlow, and R. Allwood, “Vision-based navigation of unmanned underwater vehicles: a survey. part i: Vision based cable-, pipeline-and fish tracking,” in Journal of Marine Design and Operations , no. 7, 2004, pp. 51–56
2004
Earlier work this paper cites.
P. S. Foo, W. Warren, A. Duchon, and M. Tarr, “Do humans integrate routes into a cognitive map? map- versus landmark-based navigation of novel shortcuts.” Journal of experimental psychology. Learning, memory, and cognition , 2005
2005
Earlier work this paper cites.
S. Thrun, M. Montemerlo, H. Dahlkamp, D. Stavens, A. Aron, J. Diebel, P. Fong, J. Gale, M. Halpenny, G. Hoffmann et al. , “Stanley: The robot that won the darpa grand challenge,” Journal of field Robotics , vol. 23, no. 9, pp. 661–692, 2006
2006
Earlier work this paper cites.
S. Thrun, W. Burgard, and D. Fox, “Probalistic robotics,” Kybernetes , 2006
2006
Earlier work this paper cites.
S. M. LaValle, Planning Algorithms . Cambridge university press, 2006
2006
Cited alongside, same era.
R. Sim and J. J. Little, “Autonomous vision-based exploration and mapping using hybrid maps and Rao-Blackwellised particle filters,” in IEEE/RSJ International Conference on Intelligent Robots and Systems , 2006
2006
Cited alongside, same era.
C. Urmson, J. Anhalt, D. Bagnell, C. Baker, R. Bittner, M. Clark, J. Dolan, D. Duggins, T. Galatali, C. Geyer et al. , “Autonomous driving in urban environments: Boss and the urban challenge,” Journal of Field Robotics , vol. 25, no. 8, pp. 425–466, 2008
2008
Cited alongside, same era.
P. Furgale and T. D. Barfoot, “Visual teach and repeat for long-range rover autonomy,” Journal of Field Robotics , 2010
2010
Cited alongside, same era.
N. Savinov, A. Dosovitskiy, and V. Koltun, “Semi-Parametric Topological Memory for Navigation,” in International Conference on Learning Representations , 2018
2018
Later among the works it cites.
A. Faust, K. Oslund, O. Ramirez, A. Francis, L. Tapia, M. Fiser, and J. Davidson, “PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning,” in IEEE International Conference on Robotics and Automation (ICRA) , 2018, pp. 5113–5120
2018
Later among the works it cites.
M. Bansal, A. Krizhevsky, and A. Ogale, “ChauffeurNet: Learning to Drive by Imitating the Best and Synthesizing the Worst,” in Robotics: Science and Systems (RSS) , 2019
2019
Later among the works it cites.
DARPA. (2019) Subterranean Challenge. [Online]. Available: https://www.subtchallenge.com
2019
Later among the works it cites.
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2011
Cited alongside, same era.
2012
Cited alongside, same era.
J. Fuentes-Pacheco, J. Ruiz-Ascencio, and J. M. Rendón-Mancha, “Visual simultaneous localization and mapping: a survey,” Artificial Intelligence Review , 2015
2015
Cited alongside, same era.
C. Chen, A. Seff, A. Kornhauser, and J. Xiao, “Deepdriving: Learning affordance for direct perception in autonomous driving,” in IEEE International Conference on Computer Vision , 2015
2015
Cited alongside, same era.
D. P. Kingma and J. Ba, “Adam: A Method for Stochastic Optimization,” International Conference on Learning Representations (ICLR) , 2015
2015
Cited alongside, same era.
S. Levine, C. Finn, T. Darrell, and P. Abbeel, “End-to-End Training of Deep Visuomotor Policies,” The Journal of Machine Learning Research , 2016
2016
Cited alongside, same era.
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam, “MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications,” 2017
2017
Cited alongside, same era.
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov, “Proximal Policy Optimization Algorithms,” 2017
2017
Cited alongside, same era.
Y. Wang, W.-L. Chao, D. Garg, B. Hariharan, M. Campbell, and K. Q. Weinberger, “Pseudo-LiDAR From Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving,” in IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2019
2019
Later among the works it cites.
2019
Later among the works it cites.
B. Eysenbach, R. R. Salakhutdinov, and S. Levine, “Search on the Replay Buffer: Bridging Planning and RL,” in Advances in Neural Information Processing Systems (NeurIPS) , 2019
2019
Later among the works it cites.
H.-T. L. Chiang, A. Faust, M. Fiser, and A. Francis, “Learning Navigation Behaviors End-to-End with AutoRL,” IEEE Robotics and Automation Letters , 2019
2019
Later among the works it cites.
K. Hartikainen, X. Geng, T. Haarnoja, and S. Levine, “Dynamical Distance Learning for Semi-Supervised and Unsupervised Skill Discovery,” in International Conference on Learning Representations , 2020
2020
Closest in time.
D. S. Chaplot, D. Gandhi, S. Gupta, A. Gupta, and R. Salakhutdinov, “Learning to Explore using Active Neural SLAM,” in International Conf. on Learning Representations (ICLR) , 2020
2020
Closest in time.
X. Meng, N. Ratliff, Y. Xiang, and D. Fox, “Scaling Local Control to Large-Scale Topological Navigation,” in IEEE International Conference on Robotics and Automation (ICRA) , 2020
2020
Closest in time.
A. Francis, A. Faust, H. T. L. Chiang, J. Hsu, J. C. Kew, M. Fiser, and T. W. E. Lee, “Long-Range Indoor Navigation With PRM-RL,” IEEE Transactions on Robotics , 2020
2020
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G. Kahn, P. Abbeel, and S. Levine, “BADGR: An Autonomous Self-Supervised Learning-Based Navigation System,” 2020
2020
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E. Wijmans, A. Kadian, A. Morcos, S. Lee, I. Essa, D. Parikh, M. Savva, and D. Batra, “DD-PPO: Learning Near-Perfect PointGoal Navigators from 2.5 Billion Frames,” in International Conference on Learning Representations (ICLR) , 2020
2020
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