Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
Latest papers(37,842)
Semantic Segmentation from Limited Training Data
A. Milan, T. Pham, K. Vijay +17 more
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
AffordanceNet: An End-to-End Deep Learning Approach for Object Affordance Detection
Thanh-Toan Do, Anh Nguyen, Ian Reid
2017
Local Communication Protocols for Learning Complex Swarm Behaviors with Deep Reinforcement Learning
Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
2017
SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes
Trung Pham, Thanh-Toan Do, Niko Sünderhauf +1 more
2017
Bayesian Optimization with Automatic Prior Selection for Data-Efficient Direct Policy Search
Rémi Pautrat, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret
2017
Using Parameterized Black-Box Priors to Scale Up Model-Based Policy Search for Robotics
Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret
2017
Real-time Semantic Segmentation of Crop and Weed for Precision Agriculture Robots Leveraging Background Knowledge in CNNs
Andres Milioto, Philipp Lottes, Cyrill Stachniss
2017
Transfer learning from synthetic to real images using variational autoencoders for robotic applications
Tadanobu Inoue, Subhajit Chaudhury, Giovanni De Magistris +1 more
2017
Online Learning of a Memory for Learning Rates
Franziska Meier, Daniel Kappler, Stefan Schaal
2017
Learning of Coordination Policies for Robotic Swarms
Qiyang Li, Xintong Du, Yizhou Huang +2 more
2017
Human Action Forecasting by Learning Task Grammars
Tengda Han, Jue Wang, Anoop Cherian +1 more
2017
DropoutDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2017
Guided Deep Reinforcement Learning for Swarm Systems
Maximilian Hüttenrauch, Adrian Šošić, Gerhard Neumann
2017
Recognizing Objects In-the-wild: Where Do We Stand?
Mohammad Reza Loghmani, Barbara Caputo, Markus Vincze
2017
Adversarial Discriminative Sim-to-real Transfer of Visuo-motor Policies
Fangyi Zhang, Jürgen Leitner, Zongyuan Ge +2 more
2017
Automatic Tool Landmark Detection for Stereo Vision in Robot-Assisted Retinal Surgery
Thomas Probst, Kevis-Kokitsi Maninis, Ajad Chhatkuli +3 more
2017
Long-Term Ensemble Learning of Visual Place Classifiers
Xiaoxiao Fei, Kanji Tanaka, Yichu Fang +1 more
2017
Learning Sampling Distributions for Robot Motion Planning
Brian Ichter, James Harrison, Marco Pavone
2017
To Go or Not To Go? A Near Unsupervised Learning Approach For Robot Navigation
Noriaki Hirose, Amir Sadeghian, Patrick Goebel +1 more
2017
Zero-Shot Learning to Manage a Large Number of Place-Specific Compressive Change Classifiers
Tanaka Kanji
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