Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,549)
Clear ✕Setting up a Reinforcement Learning Task with a Real-World Robot
A. Rupam Mahmood, Dmytro Korenkevych, Brent J. Komer +1 more
2018
Robust event-stream pattern tracking based on correlative filter
Hongmin Li, Luping Shi
2018
Omnidirectional CNN for Visual Place Recognition and Navigation
Tsun-Hsuan Wang, Hung-Jui Huang, Juan-Ting Lin +3 more
2018
A Deep Learning Based Behavioral Approach to Indoor Autonomous Navigation
Gabriel Sepulveda, Juan Carlos Niebles, Alvaro Soto
2018
Deep Auxiliary Learning for Visual Localization and Odometry
Abhinav Valada, Noha Radwan, Wolfram Burgard
2018
GONet: A Semi-Supervised Deep Learning Approach For Traversability Estimation
Noriaki Hirose, Amir Sadeghian, Marynel Vázquez +2 more
2018
A Neural Network Approach to Missing Marker Reconstruction in Human Motion Capture
Taras Kucherenko, Jonas Beskow, Hedvig Kjellström
2018
Generating Goal-Directed Visuomotor Plans Based on Learning Using a Predictive Coding-type Deep Visuomotor Recurrent Neural Network Model
Minkyu Choi, Takazumi Matsumoto, Minju Jung +1 more
2018
Intent-aware Multi-agent Reinforcement Learning
Siyuan Qi, Song-Chun Zhu
2018
Occupancy Map Prediction Using Generative and Fully Convolutional Networks for Vehicle Navigation
Kapil Katyal, Katie Popek, Chris Paxton +4 more
2018
Predicting Out-of-View Feature Points for Model-Based Camera Pose Estimation
Oliver Moolan-Feroze, Andrew Calway
2018
Recurrent Predictive State Policy Networks
Ahmed Hefny, Zita Marinho, Wen Sun +2 more
2018
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré, Sébastien Forestier, Olivier Sigaud +1 more
2018
A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments
German I. Parisi, Pablo Barros, Di Fu +4 more
2018
One Big Net For Everything
Juergen Schmidhuber
2018
Verifying Controllers Against Adversarial Examples with Bayesian Optimization
Shromona Ghosh, Felix Berkenkamp, Gireeja Ranade +2 more
2018
Intrinsic Motivation and Mental Replay enable Efficient Online Adaptation in Stochastic Recurrent Networks
Daniel Tanneberg, Jan Peters, Elmar Rueckert
2018
Reactive Reinforcement Learning in Asynchronous Environments
Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton +1 more
2018
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz +1 more
2018
State Representation Learning for Control: An Overview
Timothée Lesort, Natalia Díaz-Rodríguez, Jean-François Goudou +1 more
2018
Efficient Time-Series Approximation with Linear Recurrent Neural Networks: Architecture Learning and Predictive Power
Frieder Stolzenburg, Sandra Litz, Olivia Michael +1 more
2018
VR-Goggles for Robots: Real-to-sim Domain Adaptation for Visual Control
Jingwei Zhang, Lei Tai, Peng Yun +4 more
2018
Spherical CNNs
Taco S. Cohen, Mario Geiger, Jonas Koehler +1 more
2018
Barrier-Certified Adaptive Reinforcement Learning with Applications to Brushbot Navigation
Motoya Ohnishi, Li Wang, Gennaro Notomista +1 more
2018