Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Learning Generalizable Physical Dynamics of 3D Rigid Objects
Davis Rempe, Srinath Sridhar, He Wang +1 more
2019
Learning Humanoid Robot Motions Through Deep Neural Networks
Luckeciano Carvalho Melo, Marcos Ricardo Omena Albuquerque Maximo, Adilson Marques da Cunha
2019
Deep Global-Relative Networks for End-to-End 6-DoF Visual Localization and Odometry
Yimin Lin, Zhaoxiang Liu, Jianfeng Huang +5 more
2018
Task-Free Continual Learning
Rahaf Aljundi, Klaas Kelchtermans, Tinne Tuytelaars
2018
Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems
Enes Karaaslan, Ulas Bagci, F. Necati Catbas
2018
Modulated Policy Hierarchies
Alexander Pashevich, Danijar Hafner, James Davidson +2 more
2018
An Introduction to Deep Reinforcement Learning
Vincent Francois-Lavet, Peter Henderson, Riashat Islam +2 more
2018
Playing Soccer without Colors in the SPL: A Convolutional Neural Network Approach
Francisco Leiva, Nicolás Cruz, Ignacio Bugueño +1 more
2018
Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots
Yuqian Jiang, Fangkai Yang, Shiqi Zhang +1 more
2018
Indoor GeoNet: Weakly Supervised Hybrid Learning for Depth and Pose Estimation
Amirreza Farnoosh, Sarah Ostadabbas
2018
Self-Organizing Maps for Storage and Transfer of Knowledge in Reinforcement Learning
Thommen George Karimpanal, Roland Bouffanais
2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Fan Wang, Bo Zhou, Ke Chen +5 more
2018
Deep Object-Centric Policies for Autonomous Driving
Dequan Wang, Coline Devin, Qi-Zhi Cai +2 more
2018
Multimodal One-Shot Learning of Speech and Images
Ryan Eloff, Herman A. Engelbrecht, Herman Kamper
2018
ACE: An Actor Ensemble Algorithm for Continuous Control with Tree Search
Shangtong Zhang, Hao Chen, Hengshuai Yao
2018
QUOTA: The Quantile Option Architecture for Reinforcement Learning
Shangtong Zhang, Borislav Mavrin, Linglong Kong +2 more
2018
Confidence Propagation through CNNs for Guided Sparse Depth Regression
Abdelrahman Eldesokey, Michael Felsberg, Fahad Shahbaz Khan
2018
Navigation by Imitation in a Pedestrian-Rich Environment
Jing Bi, Tianyou Xiao, Qiuyue Sun +1 more
2018
Formal Verification of Neural Network Controlled Autonomous Systems
Xiaowu Sun, Haitham Khedr, Yasser Shoukry
2018
Learning sparse relational transition models
Victoria Xia, Zi Wang, Leslie Pack Kaelbling
2018
Action-Agnostic Human Pose Forecasting
Hsu-kuang Chiu, Ehsan Adeli, Borui Wang +2 more
2018
Autonomous Self-Explanation of Behavior for Interactive Reinforcement Learning Agents
Yosuke Fukuchi, Masahiko Osawa, Hiroshi Yamakawa +1 more
2018
Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories
Yanfu Zhang, Wenshan Wang, Rogerio Bonatti +2 more
2018
Factorized Machine Self-Confidence for Decision-Making Agents
Brett W Israelsen, Nisar R Ahmed, Eric Frew +2 more
2018