Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕CReaM: Condensed Real-time Models for Depth Prediction using Convolutional Neural Networks
Andrew Spek, Thanuja Dharmasiri, Tom Drummond
2018
Meta-Learning Priors for Efficient Online Bayesian Regression
James Harrison, Apoorva Sharma, Marco Pavone
2018
ClusterNet: 3D Instance Segmentation in RGB-D Images
Lin Shao, Ye Tian, Jeannette Bohg
2018
Iterative Interaction Training for Segmentation Editing Networks
Gustav Bredell, Christine Tanner, Ender Konukoglu
2018
EnsembleDAgger: A Bayesian Approach to Safe Imitation Learning
Kunal Menda, Katherine Driggs-Campbell, Mykel J. Kochenderfer
2018
Rapid Autonomous Car Control based on Spatial and Temporal Visual Cues
Surya Dantuluri
2018
Deep Learning
Nicholas G. Polson, Vadim O. Sokolov
2018
Integrating Algorithmic Planning and Deep Learning for Partially Observable Navigation
Peter Karkus, David Hsu, Wee Sun Lee
2018
Safe Reinforcement Learning via Probabilistic Shields
Nils Jansen, Bettina Könighofer, Sebastian Junges +2 more
2018
A Dataset of Laryngeal Endoscopic Images with Comparative Study on Convolution Neural Network Based Semantic Segmentation
Max-Heinrich Laves, Jens Bicker, Lüder A. Kahrs +1 more
2018
Improved Person Re-Identification Based on Saliency and Semantic Parsing with Deep Neural Network Models
Rodolfo Quispe, Helio Pedrini
2018
Deep Learning for Semantic Segmentation on Minimal Hardware
Sander G. van Dijk, Marcus M. Scheunemann
2018
Visual Reinforcement Learning with Imagined Goals
Ashvin Nair, Vitchyr Pong, Murtaza Dalal +3 more
2018
LiDAR and Camera Detection Fusion in a Real Time Industrial Multi-Sensor Collision Avoidance System
Pan Wei, Lucas Cagle, Tasmia Reza +2 more
2018
A Hierarchical Bayesian Linear Regression Model with Local Features for Stochastic Dynamics Approximation
Behnoosh Parsa, Keshav Rajasekaran, Franziska Meier +1 more
2018
Towards Head Motion Compensation Using Multi-Scale Convolutional Neural Networks
Omer Rajput, Nils Gessert, Martin Gromniak +2 more
2018
Dynamic Objects Segmentation for Visual Localization in Urban Environments
Guoxiang Zhou, Berta Bescos, Marcin Dymczyk +3 more
2018
A survey on policy search algorithms for learning robot controllers in a handful of trials
Konstantinos Chatzilygeroudis, Vassilis Vassiliades, Freek Stulp +2 more
2018
Gridbot: An autonomous robot controlled by a Spiking Neural Network mimicking the brain's navigational system
Guangzhi Tang, Konstantinos P. Michmizos
2018
The role of robot design in decoding error-related information from EEG signals of a human observer
Joos Behncke, Robin Tibor Schirrmeister, Wolfram Burgard +1 more
2018
Deep Neural Object Analysis by Interactive Auditory Exploration with a Humanoid Robot
Manfred Eppe, Matthias Kerzel, Erik Strahl +1 more
2018
PRED18: Dataset and Further Experiments with DAVIS Event Camera in Predator-Prey Robot Chasing
Diederik Paul Moeys, Daniel Neil, Federico Corradi +7 more
2018
One-Shot Learning of Multi-Step Tasks from Observation via Activity Localization in Auxiliary Video
Wonjoon Goo, Scott Niekum
2018
End-to-End Deep Imitation Learning: Robot Soccer Case Study
Okan Aşık, Binnur Görer, H. Levent Akın
2018