Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,525)
Clear ✕Deep Semantic Classification for 3D LiDAR Data
Ayush Dewan, Gabriel L. Oliveira, Wolfram Burgard
2017
Joint Prediction of Depths, Normals and Surface Curvature from RGB Images using CNNs
Thanuja Dharmasiri, Andrew Spek, Tom Drummond
2017
Using Convolutional Neural Networks in Robots with Limited Computational Resources: Detecting NAO Robots while Playing Soccer
Nicolás Cruz, Kenzo Lobos-Tsunekawa, Javier Ruiz-del-Solar
2017
Toward Real-Time Decentralized Reinforcement Learning using Finite Support Basis Functions
Kenzo Lobos-Tsunekawa, David L. Leottau, Javier Ruiz-del-Solar
2017
Machine Learning in Appearance-based Robot Self-localization
Alexander Kuleshov, Alexander Bernstein, Evgeny Burnaev +1 more
2017
Learning Large-Scale Topological Maps Using Sum-Product Networks
Kaiyu Zheng
2017
Unlocking the Potential of Simulators: Design with RL in Mind
Rika Antonova, Silvia Cruciani
2017
Visual Interaction Networks
Nicholas Watters, Andrea Tacchetti, Theophane Weber +3 more
2017
Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics
Tomoki Nishi, Prashant Doshi, Michael R. James +1 more
2017
Multi-Modal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets
Karol Hausman, Yevgen Chebotar, Stefan Schaal +2 more
2017
Role Playing Learning for Socially Concomitant Mobile Robot Navigation
Mingming Li, Rui Jiang, Shuzhi Sam Ge +1 more
2017
Visual Servoing from Deep Neural Networks
Quentin Bateux, Eric Marchand, Jürgen Leitner +2 more
2017
Thinking Fast and Slow with Deep Learning and Tree Search
Thomas Anthony, Zheng Tian, David Barber
2017
Learning a bidirectional mapping between human whole-body motion and natural language using deep recurrent neural networks
Matthias Plappert, Christian Mandery, Tamim Asfour
2017
New Reinforcement Learning Using a Chaotic Neural Network for Emergence of "Thinking" - "Exploration" Grows into "Thinking" through Learning -
Katsunari Shibata, Yuki Goto
2017
Maximum Resilience of Artificial Neural Networks
Chih-Hong Cheng, Georg Nührenberg, Harald Ruess
2017
Modular Multi-Objective Deep Reinforcement Learning with Decision Values
Tomasz Tajmajer
2017
Probabilistic programs for inferring the goals of autonomous agents
Marco F. Cusumano-Towner, Alexey Radul, David Wingate +1 more
2017
Differential Evolution and Bayesian Optimisation for Hyper-Parameter Selection in Mixed-Signal Neuromorphic Circuits Applied to UAV Obstacle Avoidance
Llewyn Salt, David Howard, Giacomo Indiveri +1 more
2017
Learning Visual Servoing with Deep Features and Fitted Q-Iteration
Alex X. Lee, Sergey Levine, Pieter Abbeel
2017
Socially Aware Motion Planning with Deep Reinforcement Learning
Yu Fan Chen, Michael Everett, Miao Liu +1 more
2017
Jointly Optimizing Placement and Inference for Beacon-based Localization
Charles Schaff, David Yunis, Ayan Chakrabarti +1 more
2017
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc, Natalia Neverova, Camille Couprie +2 more
2017
Episode-Based Active Learning with Bayesian Neural Networks
Feras Dayoub, Niko Sünderhauf, Peter Corke
2017