Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,949)
Clear ✕Learning to Label Affordances from Simulated and Real Data
Timo Lüddecke, Florentin Wörgötter
2017
Converting Your Thoughts to Texts: Enabling Brain Typing via Deep Feature Learning of EEG Signals
Xiang Zhang, Lina Yao, Quan Z. Sheng +3 more
2017
Towards continuous control of flippers for a multi-terrain robot using deep reinforcement learning
Giuseppe Paolo, Lei Tai, Ming Liu
2017
An Optimal Online Method of Selecting Source Policies for Reinforcement Learning
Siyuan Li, Chongjie Zhang
2017
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana
2017
Inverse Reinforcement Learning with Conditional Choice Probabilities
Mohit Sharma, Kris M. Kitani, Joachim Groeger
2017
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
Trung Pham, Thanh-Toan Do, Niko Sünderhauf +1 more
2017
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2017
Long-Term Ensemble Learning of Visual Place Classifiers
Xiaoxiao Fei, Kanji Tanaka, Yichu Fang +1 more
2017
Unsupervised state representation learning with robotic priors: a robustness benchmark
Timothée Lesort, Mathieu Seurin, Xinrui Li +2 more
2017
Shapechanger: Environments for Transfer Learning
Sébastien M. R. Arnold, Tsam Kiu Pun, Théo-Tim J. Denisart +1 more
2017
One-Shot Visual Imitation Learning via Meta-Learning
Chelsea Finn, Tianhe Yu, Tianhao Zhang +2 more
2017
From Plants to Landmarks: Time-invariant Plant Localization that uses Deep Pose Regression in Agricultural Fields
Florian Kraemer, Alexander Schaefer, Andreas Eitel +2 more
2017
Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model
Ty Nguyen, Steven W. Chen, Shreyas S. Shivakumar +2 more
2017
Optimal and Learning Control for Autonomous Robots
Jonas Buchli, Farbod Farshidian, Alexander Winkler +2 more
2017
Is Deep Learning Safe for Robot Vision? Adversarial Examples against the iCub Humanoid
Marco Melis, Ambra Demontis, Battista Biggio +3 more
2017
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
Mehmet Turan, Yasin Almalioglu, Helder Araujo +2 more
2017
A Brief Survey of Deep Reinforcement Learning
Kai Arulkumaran, Marc Peter Deisenroth, Miles Brundage +1 more
2017
Learning to Plan Chemical Syntheses
Marwin H. S. Segler, Mike Preuss, Mark P. Waller
2017
Deep Reinforcement Learning for High Precision Assembly Tasks
Tadanobu Inoue, Giovanni De Magistris, Asim Munawar +2 more
2017
Output Reachable Set Estimation and Verification for Multi-Layer Neural Networks
Weiming Xiang, Hoang-Dung Tran, Taylor T. Johnson
2017
Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards
Mel Vecerik, Todd Hester, Jonathan Scholz +7 more
2017
Graph-Based Classification of Omnidirectional Images
Renata Khasanova, Pascal Frossard
2017
Mutual Alignment Transfer Learning
Markus Wulfmeier, Ingmar Posner, Pieter Abbeel
2017