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Semantic cues and statistical regularities in real-world environment layouts can improve efficiency for navigation in novel environments.
Using occupancy grids for mobile robot perception and navigation
Alberto Elfes · 1989
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Christopher John Cornish Hellaby Watkins · 1989
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Sebastian Thrun, Wolfram Burgard, and Dieter Fox · 2000
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Octomap: A probabilistic, flexible, and compact 3d map representation for robotic systems
Kai M Wurm, Armin Hornung, Maren Bennewitz, Cyrill Stachniss, and Wolfram Burgard · 2010
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Andrzej Pronobis · 2011
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A reduction of imitation learning and structured prediction to no-regret online learning
Stéphane Ross, Geoffrey Gordon, and Drew Bagnell · 2011
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People watching: Human actions as a cue for single-view geometry
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Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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A machine learning approach to visual perception of forest trails for mobile robots
Alessandro Giusti, Jérôme Guzzi, Dan C Cireşan, Fang-Lin He, Juan P Rodríguez, Flavio Fontana, Matthias Faessler, Christian Forster, Jürgen Schmidhuber, Gianni Di Caro, et al · 2015
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Phillip Isola, Joseph J Lim, and Edward H Adelson · 2015
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Diederik P Kingma and Jimmy Ba · 2015
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Orb-slam: a versatile and accurate monocular slam system
Raul Mur-Artal, Jose Maria Martinez Montiel, and Juan D Tardos · 2015
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Learning to poke by poking: Experiential learning of intuitive physics
Pulkit Agrawal, Ashvin V Nair, Pieter Abbeel, Jitendra Malik, and Sergey Levine · 2016
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Deep reinforcement learning with double Q-learning
Hado Van Hasselt, Arthur Guez, and David Silver · 2016
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Joint discovery of object states and manipulation actions
Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, and Simon Lacoste-Julien · 2017
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Probabilistic data association for semantic slam
Sean L Bowman, Nikolay Atanasov, Kostas Daniilidis, and George J Pappas · 2017
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Matterport3D: Learning from RGB-D data in indoor environments
Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niessner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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Learning to fly by crashing
Dhiraj Gandhi, Lerrel Pinto, and Abhinav Gupta · 2017
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Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Imitation from observation: Learning to imitate behaviors from raw video via context translation
Yuxuan Liu, Abhishek Gupta, Pieter Abbeel, and Sergey Levine · 2017
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Learning to navigate in complex environments
Piotr Mirowski, Razvan Pascanu, Fabio Viola, Hubert Soyer, Andrew J Ballard, Andrea Banino, Misha Denil, Ross Goroshin, Laurent Sifre, Koray Kavukcuoglu, et al · 2017
3D scene graph: A structure for unified semantics, 3D space, and camera
Iro Armeni, Zhi-Yang He, JunYoung Gwak, Amir R Zamir, Martin Fischer, Jitendra Malik, and Silvio Savarese · 2019
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Combining optimal control and learning for visual navigation in novel environments
Somil Bansal, Varun Tolani, Saurabh Gupta, Jitendra Malik, and Claire Tomlin · 2019
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Learning exploration policies for navigation
Tao Chen, Saurabh Gupta, and Abhinav Gupta · 2019
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Perceptual values from observation
Ashley D Edwards and Charles L Isbell · 2019
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Imitating latent policies from observation
Ashley D Edwards, Himanshu Sahni, Yannick Schroecker, and Charles L Isbell · 2019
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Cognitive mapping and planning for visual navigation
Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, and Jitendra Malik · 2019
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Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, and Sergey Levine · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Unsupervised perceptual rewards for imitation learning
Pierre Sermanet, Kelvin Xu, and Sergey Levine · 2017
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Target-driven visual navigation in indoor scenes using deep reinforcement learning
Yuke Zhu, Roozbeh Mottaghi, Eric Kolve, J Lim, and Abhinav Gupta · 2017
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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 Zamir · 2018
Cited alongside, same era.
Playing hard exploration games by watching youtube
Yusuf Aytar, Tobias Pfaff, David Budden, Thomas Paine, Ziyu Wang, and Nando de Freitas · 2018
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Beauty and the beast: Optimal methods meet learning for drone racing
Elia Kaufmann, Mathias Gehrig, Philipp Foehn, René Ranftl, Alexey Dosovitskiy, Vladlen Koltun, and Davide Scaramuzza · 2019
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Learning navigation subroutines by watching videos
Ashish Kumar, Saurabh Gupta, and Jitendra Malik · 2019
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Visual representations for semantic target driven navigation
Arsalan Mousavian, Alexander Toshev, Marek Fišer, Jana Košecká, Ayzaan Wahid, and James Davidson · 2019
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Reinforcement learning based navigation with semantic knowledge of indoor environments
Tai-Long Nguyen, Do-Van Nguyen, and Thanh-Ha Le · 2019
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RIDM: reinforced inverse dynamics modeling for learning from a single observed demonstration
Brahma S. Pavse, Faraz Torabi, Josiah P. Hanna, Garrett Warnell, and Peter Stone · 2019
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DIViS: Domain invariant visual servoing for collision-free goal reaching
Fereshteh Sadeghi · 2019
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Habitat: A platform for embodied AI research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, and Dhruv Batra · 2019
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Learning predictive models from observation and interaction
Karl Schmeckpeper, Annie Xie, Oleh Rybkin, Stephen Tian, Kostas Daniilidis, Sergey Levine, and Chelsea Finn · 2019
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Generative adversarial imitation from observation
Faraz Torabi, Garrett Warnell, and Peter Stone · 2019
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Bayesian relational memory for semantic visual navigation
Yi Wu, Yuxin Wu, Aviv Tamar, Stuart Russell, Georgia Gkioxari, and Yuandong Tian · 2019
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Visual semantic navigation using scene priors
Wei Yang, Xiaolong Wang, Ali Farhadi, Abhinav Gupta, and Roozbeh Mottaghi · 2019
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Learning to explore using active neural mapping
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, and Ruslan Salakhutdinov · 2020
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Neural topological slam for visual navigation
Devendra Singh Chaplot, Ruslan Salakhutdinov, Abhinav Gupta, and Saurabh Gupta · 2020
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Visual object search by learning spatial context
Raphael Druon, Yusuke Yoshiyasu, Asako Kanezaki, and Alassane Watt · 2020
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State-only imitation with transition dynamics mismatch
Tanmay Gangwani and Jian Peng · 2020
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Classical Mapping and Planning Baseline for Habitat Challenge
Saurabh Gupta · 2020
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DD-PPO: Learning near-perfect pointgoal navigators from 2.5 billion frames
Erik Wijmans, Abhishek Kadian, Ari Morcos, Stefan Lee, Irfan Essa, Devi Parikh, Manolis Savva, and Dhruv Batra · 2020
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