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Autonomous self-improving robots that interact and improve with experience are key to the real-world deployment of robotic systems.
Social force model for pedestrian dynamics
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Actor-critic algorithms
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Policy gradient methods for reinforcement learning with function approximation
R. S. Sutton, D. McAllester, S. Singh, and Y. Mansour · 1999
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E. A. Sisbot, L. F. Marin-Urias, R. Alami, and T. Simeon · 2007
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Optimal rough terrain trajectory generation for wheeled mobile robots
T. M. Howard and A. Kelly · 2007
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Planning-based prediction for pedestrians
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Social robot navigation
R. Kirby · 2010
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Reciprocal n-body collision avoidance
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A reduction of imitation learning and structured prediction to no-regret online learning
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Human-robot proxemics: physical and psychological distancing in human-robot interaction
J. Mumm and B. Mutlu · 2011
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Socially-aware robot navigation: A learning approach
M. Luber, L. Spinello, J. Silva, and K. O. Arras · 2012
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Reinforcement learning in robotics: A survey
J. Kober, J. A. Bagnell, and J. Peters · 2013
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Robot companion: A social-force based approach with human awareness-navigation in crowded environments
G. Ferrer, A. Garrell, and A. Sanfeliu · 2013
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Playing atari with deep reinforcement learning
V. Mnih, K. Kavukcuoglu, D. Silver, A. Graves, I. Antonoglou, D. Wierstra, and M. Riedmiller · 2013
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Human-level control through deep reinforcement learning
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Continuous control with deep reinforcement learning
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Trust region policy optimization
J. Schulman, S. Levine, P. Abbeel, M. Jordan, and P. Moritz · 2015
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End-to-end training of deep visuomotor policies
S. Levine, C. Finn, T. Darrell, and P. Abbeel · 2016
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Autonomous navigation in dynamic social environments using multi-policy decision making
D. Mehta, G. Ferrer, and E. Olson · 2016
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You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
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Proximal policy optimization algorithms
J. Schulman, F. Wolski, P. Dhariwal, A. Radford, and O. Klimov · 2017
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Deep visual foresight for planning robot motion
C. Finn and S. Levine · 2017
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Self-supervised visual planning with temporal skip connections
F. Ebert, C. Finn, A. X. Lee, and S. Levine · 2017
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Survey of model-based reinforcement learning: Applications on robotics
A. S. Polydoros and L. Nalpantidis · 2017
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Target-driven visual navigation in indoor scenes using deep reinforcement learning
Y. Zhu, R. Mottaghi, E. Kolve, J. J. Lim, A. Gupta, L. Fei-Fei, and A. Farhadi · 2017
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“to approach humans?”: A unified framework for approaching pose prediction and socially aware robot navigation
X.-T. Truong and T.-D. Ngo · 2017
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Online trajectory prediction and planning for social robot navigation
C. Rösmann, M. Oeljeklaus, F. Hoffmann, and T. Bertram · 2017
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Socially aware motion planning with deep reinforcement learning
Y. F. Chen, M. Everett, M. Liu, and J. P. How · 2017
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Decentralized non-communicating multiagent collision avoidance with deep reinforcement learning
Y. F. Chen, M. Liu, M. Everett, and J. P. How · 2017
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Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor
T. Haarnoja, A. Zhou, P. Abbeel, and S. Levine · 2018
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Offline reinforcement learning with implicit q-learning
I. Kostrikov, A. Nair, and S. Levine · 2021
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Probabilistic visual navigation with bidirectional image prediction
N. Hirose, S. Taguchi, F. Xia, R. Martín-Martín, K. Tahara, M. Ishigaki, and S. Savarese · 2021
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A minimalist approach to offline reinforcement learning
S. Fujimoto and S. S. Gu · 2021
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Decentralized structural-rnn for robot crowd navigation with deep reinforcement learning
S. Liu, P. Chang, W. Liang, N. Chakraborty, and K. Driggs-Campbell · 2021
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Ving: Learning open-world navigation with visual goals
D. Shah, B. Eysenbach, G. Kahn, N. Rhinehart, and S. Levine · 2021
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S. Levine, P. Pastor, A. Krizhevsky, J. Ibarz, and D. Quillen · 2018
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Addressing function approximation error in actor-critic methods
S. Fujimoto, H. Hoof, and D. Meger · 2018
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Zero-shot visual imitation
D. Pathak, P. Mahmoudieh, G. Luo, P. Agrawal, D. Chen, Y. Shentu, E. Shelhamer, J. Malik, A. A. Efros, and T. Darrell · 2018
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Gibson env: Real-world perception for embodied agents
F. Xia, A. R. Zamir, Z. He, A. Sax, J. Malik, and S. Savarese · 2018
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Neural network dynamics for model-based deep reinforcement learning with model-free fine-tuning
A. Nagabandi, G. Kahn, R. S. Fearing, and S. Levine · 2018
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Motion planning among dynamic, decision-making agents with deep reinforcement learning
M. Everett, Y. F. Chen, and J. P. How · 2018
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Semi-parametric topological memory for navigation
N. Savinov, A. Dosovitskiy, and V. Koltun · 2018
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P. Atreya, H. Karnan, K. S. Sikand, X. Xiao, S. Rabiee, and J. Biswas · 2022
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Winding through: Crowd navigation via topological invariance
C. Mavrogiannis, K. Balasubramanian, S. Poddar, A. Gandra, and S. S. Srinivasa · 2022
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Group-based motion prediction for navigation in crowded environments
A. Wang, C. Mavrogiannis, and A. Steinfeld · 2022
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Viking: Vision-based kilometer-scale navigation with geographic hints
D. Shah and S. Levine · 2022
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Depth360: Self-supervised learning for monocular depth estimation using learnable camera distortion model
N. Hirose and K. Tahara · 2022
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Spatio-temporal graph localization networks for image-based navigation
T. Niwa, S. Taguchi, and N. Hirose · 2022
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Sacson: Scalable autonomous control for social navigation
N. Hirose, D. Shah, A. Sridhar, and S. Levine · 2023
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Fastrlap: A system for learning high-speed driving via deep rl and autonomous practicing
K. Stachowicz, D. Shah, A. Bhorkar, I. Kostrikov, and S. Levine · 2023
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Exaug: Robot-conditioned navigation policies via geometric experience augmentation
N. Hirose, D. Shah, A. Sridhar, and S. Levine · 2023
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Model-based reinforcement learning: A survey
T. M. Moerland, J. Broekens, A. Plaat, C. M. Jonker, et al · 2023
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Vint: A foundation model for visual navigation
D. Shah, A. Sridhar, N. Dashora, K. Stachowicz, K. Black, N. Hirose, and S. Levine · 2023
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Open x-embodiment: Robotic learning datasets and rt-x models
A. Padalkar, A. Pooley, A. Jain, A. Bewley, A. Herzog, A. Irpan, A. Khazatsky, A. Rai, A. Singh, A. Brohan, et al · 2023
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Cal-ql: Calibrated offline rl pre-training for efficient online fine-tuning
M. Nakamoto, Y. Zhai, A. Singh, M. S. Mark, Y. Ma, C. Finn, A. Kumar, and S. Levine · 2023
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Moto: Offline pre-training to online fine-tuning for model-based robot learning
R. Rafailov, K. B. Hatch, V. Kolev, J. D. Martin, M. Phielipp, and C. Finn · 2023
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Core challenges of social robot navigation: A survey
C. Mavrogiannis, F. Baldini, A. Wang, D. Zhao, P. Trautman, A. Steinfeld, and J. Oh · 2023
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Ewarenet: Emotion-aware pedestrian intent prediction and adaptive spatial profile fusion for social robot navigation
V. Narayanan, B. M. Manoghar, R. P. RV, and A. Bera · 2023
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Drl-vo: Learning to navigate through crowded dynamic scenes using velocity obstacles
Z. Xie and P. Dames · 2023
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Occlusion-aware crowd navigation using people as sensors
Y.-J. Mun, M. Itkina, S. Liu, and K. Driggs-Campbell · 2023
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Principles and guidelines for evaluating social robot navigation algorithms
A. Francis, C. Pérez-d’Arpino, C. Li, F. Xia, A. Alahi, R. Alami, A. Bera, A. Biswas, J. Biswas, R. Chandra, et al · 2023
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Gnm: A general navigation model to drive any robot
D. Shah, A. Sridhar, A. Bhorkar, N. Hirose, and S. Levine · 2023
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