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It is fundamental for personal robots to reliably navigate to a specified goal.
Shakey the Robot
N. Nilsson · 1984
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Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber · 1997
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Visual odometry [tutorial]
D. Scaramuzza and F. Fraundorfer · 2011
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Visual odometry : Part ii: Matching, robustness, optimization, and applications
F. Fraundorfer and D. Scaramuzza · 2012
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Are We Ready for Autonomous Driving? The KITTI Vision Benchmark Suite
Andreas Geiger, Philip Lenz, and R. Urtasun · 2012
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Improving Neural Networks by Preventing Co-Adaptation of Feature Detectors
Geoffrey E. Hinton, Nitish Srivastava, A. Krizhevsky, Ilya Sutskever, and R. Salakhutdinov · 2012
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Understanding dropout
Pierre Baldi and Peter Sadowski · 2013
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Dropout: a simple way to prevent neural networks from overfitting
Nitish Srivastava, Geoffrey Hinton, Alex Krizhevsky, Ilya Sutskever, and Ruslan Salakhutdinov · 2014
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Robust reconstruction of indoor scenes
Sungjoon Choi, Qian-Yi Zhou, and Vladlen Koltun · 2015
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
Sergey Ioffe and Christian Szegedy · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Modelling uncertainty in deep learning for camera relocalization
Alex Kendall and Roberto Cipolla · 2016
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High-dimensional continuous control using generalized advantage estimation
John Schulman, Philipp Moritz, Sergey Levine, Michael I. Jordan, and Pieter Abbeel · 2016
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Generic 3D Representation via Pose Estimation and Matching
A. Zamir, T. Wekel, Pulkit Agrawal, Colin Wei, Jitendra Malik, and S. Savarese · 2016
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Matterport3D: Learning from rgb-d data in indoor environments
Angel X. Chang, Angela Dai, Thomas A. Funkhouser, Maciej Halber, Matthias Nießner, Manolis Savva, Shuran Song, Andy Zeng, and Yinda Zhang · 2017
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AI2-THOR: An Interactive 3D Environment for Visual AI
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Daniel Gordon, Yuke Zhu, Abhinav Gupta, and Ali Farhadi · 2017
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Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network
Zakaria Laskar, Iaroslav Melekhov, Surya Kalia, and Juho Kannala · 2017
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MINOS: Multimodal indoor simulator for navigation in complex environments
Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas A. Funkhouser, and Vladlen Koltun · 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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DeepVO: Towards end-to-end visual odometry with deep recurrent convolutional neural networks
Sen Wang, Ronald Clark, Hongkai Wen, and Agathoniki Trigoni · 2017
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On evaluation of embodied navigation agents
Peter Anderson, Angel X. Chang, Devendra Singh Chaplot, Alexey Dosovitskiy, Saurabh Gupta, Vladlen Koltun, Jana Kosecka, Jitendra Malik, Roozbeh Mottaghi, Manolis Savva, and Amir Roshan Zamir · 2018
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Vision-and-language navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney, Jake Bruce, Mark Johnson, Niko Sünderhauf, Ian D. Reid, Stephen Gould, and Anton van den Hengel · 2018
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Embodied question answering
Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, and Dhruv Batra · 2018
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Superpoint: Self-supervised interest point detection and description
Daniel DeTone and · 2018
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Learning your way without map or compass: Panoramic target driven visual navigation
David Watkins-Valls, Jingxi Xu, Nicholas R. Waytowich, and Peter K. Allen · 2019
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Embodied question answering in photorealistic environments with point cloud perception
Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, and Dhruv Batra · 2019
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ObjectNav Revisited: On Evaluation of Embodied Agents Navigating to Objects
Dhruv Batra, Aaron Gokaslan, Aniruddha Kembhavi, Oleksandr Maksymets, Roozbeh Mottaghi, Manolis Savva, Alexander Toshev, and Erik Wijmans · 2020
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Learning to Explore using Active Neural SLAM
Devendra Singh Chaplot, Dhiraj Gandhi, Saurabh Gupta, Abhinav Gupta, and R. Salakhutdinov · 2020
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A survey on deep learning for localization and mapping: Towards the age of spatial machine intelligence
C. Chen and · 2020
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Yuxin Wu and Kaiming He · 2018
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Building generalizable agents with a realistic and rich 3d environment
Yi Wu, Yuxin Wu, Georgia Gkioxari, and Yuandong Tian · 2018
Cited alongside, same era.
Gibson Env: real-world perception for embodied agents
Fei Xia, Amir R. Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, and Silvio Savarese · 2018
Cited alongside, same era.
Gibson env: Real-world perception for embodied agents
Fei Xia, Amir Roshan Zamir, Zhi-Yang He, Alexander Sax, Jitendra Malik, and Silvio Savarese · 2018
Cited alongside, same era.
DeepPruner: Learning Efficient Stereo Matching via Differentiable PatchMatch
Shivam Duggal, Shenlong Wang, W. Ma, R. Hu, and R. Urtasun · 2019
Cited alongside, same era.
Cognitive mapping and planning for visual navigation
Saurabh Gupta, Varun Tolani, James Davidson, Sergey Levine, Rahul Sukthankar, and Jitendra Malik · 2019
Cited alongside, same era.
Two Body Problem: Collaborative Visual Task Completion
U. Jain · 2019
Cited alongside, same era.
Integrating Egocentric Localization for More Realistic Point-Goal Navigation Agents
Samyak Datta, Oleksandr Maksymets, Judy Hoffman, Stefan Lee, Dhruv Batra, and Devi Parikh · 2020
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A Cordial Sync: Going Beyond Marginal Policies For Multi-Agent Embodied Tasks
U. Jain · 2020
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Sim2Real Predictivity: Does Evaluation in Simulation Predict Real-World Performance?
Abhishek Kadian, Joanne Truong, Aaron Gokaslan, Alexander Clegg, Erik Wijmans, Stefan Lee, M. Savva, S. Chernova, and Dhruv Batra · 2020
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Beyond the nav-graph: Vision-and-language navigation in continuous environments
Jacob Krantz, Erik Wijmans, Arjun Majumdar, Dhruv Batra, and Stefan Lee · 2020
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A survey on deep learning techniques for stereo-based depth estimation
Hamid Laga, Laurent Valentin Jospin, Farid Boussaïd, and M. Bennamoun · 2020
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High-Throughput Synchronous Deep RL
I.-J. Liu, R. Yeh, and A. G. Schwing · 2020
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Seeing the un-scene: Learning amodal semantic maps for room navigation
Medhini Narasimhan, Erik Wijmans, Xinlei Chen, Trevor Darrell, Dhruv Batra, Devi Parikh, and Amanpreet Singh · 2020
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Occupancy Anticipation for Efficient Exploration and Navigation
Santhosh K. Ramakrishnan, Z. Al-Halah, and K. Grauman · 2020
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Superglue: Learning feature matching with graph neural networks
Paul-Edouard Sarlin and · 2020
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DD-PPO: Learning near-perfect pointgoal navigators from 2.5 billion frames
Erik Wijmans, Abhishek Kadian, Ari S. Morcos, Stefan Lee, Irfan Essa, D. Parikh, Manolis Savva, and Dhruv Batra · 2020
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Interactive gibson benchmark: A benchmark for interactive navigation in cluttered environments
Fei Xia, William B Shen, Chengshu Li, Priya Kasimbeg, Micael Edmond Tchapmi, Alexander Toshev, Roberto Martín-Martín, and Silvio Savarese · 2020
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Particle SLAM-Net for Visual Navigation
Peter Karkus, Shaojun Cai, and David Hsu · 2021
Closest in time.
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning
I.-J. Liu, U. Jain, R. Yeh, and A. G. Schwing · 2021
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Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning
I.-J. Liu, Z. Ren, R. Yeh, and A. G. Schwing · 2021
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