Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,574)
Clear ✕Joint Object and State Recognition using Language Knowledge
Ahmad Babaeian Jelodar, Yu Sun
2019
Multi-Pass Q-Networks for Deep Reinforcement Learning with Parameterised Action Spaces
Craig J. Bester, Steven D. James, George D. Konidaris
2019
An Open Source and Open Hardware Deep Learning-powered Visual Navigation Engine for Autonomous Nano-UAVs
Daniele Palossi, Francesco Conti, Luca Benini
2019
Reinforcement Learning in Non-Stationary Environments
Sindhu Padakandla, Prabuchandran K. J, Shalabh Bhatnagar
2019
Smoothing Policies and Safe Policy Gradients
Matteo Papini, Matteo Pirotta, Marcello Restelli
2019
Closing the Accuracy Gap in an Event-Based Visual Recognition Task
Bodo Rückauer, Nicolas Känzig, Shih-Chii Liu +2 more
2019
Conditional Generative Neural System for Probabilistic Trajectory Prediction
Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2019
From Video Game to Real Robot: The Transfer between Action Spaces
Janne Karttunen, Anssi Kanervisto, Ville Kyrki +1 more
2019
Surface Type Classification for Autonomous Robot Indoor Navigation
Francesco Lomio, Erjon Skenderi, Damoon Mohamadi +3 more
2019
Deep Learning Based Robot for Automatically Picking up Garbage on the Grass
Jinqiang Bai, Shiguo Lian, Zhaoxiang Liu +2 more
2019
Enabling Robots to Understand Incomplete Natural Language Instructions Using Commonsense Reasoning
Haonan Chen, Hao Tan, Alan Kuntz +2 more
2019
Argus: Smartphone-enabled Human Cooperation via Multi-Agent Reinforcement Learning for Disaster Situational Awareness
Vidyasagar Sadhu, Gabriel Salles-Loustau, Dario Pompili +2 more
2019
Factored Contextual Policy Search with Bayesian Optimization
Robert Pinsler, Peter Karkus, Andras Kupcsik +2 more
2019
Multi-scale Cross-form Pyramid Network for Stereo Matching
Zhidong Zhu, Mingyi He, Yuchao Dai +2 more
2019
Neural Path Planning: Fixed Time, Near-Optimal Path Generation via Oracle Imitation
Mayur J. Bency, Ahmed H. Qureshi, Michael C. Yip
2019
Baconian: A Unified Open-source Framework for Model-Based Reinforcement Learning
Linsen Dong, Guanyu Gao, Xinyi Zhang +2 more
2019
Linked Dynamic Graph CNN: Learning on Point Cloud via Linking Hierarchical Features
Kuangen Zhang, Ming Hao, Jing Wang +2 more
2019
Estimating Forces of Robotic Pouring Using a LSTM RNN
Kyle Mott
2019
State Classification of Cooking Objects Using a VGG CNN
Kyle Mott
2019
Graph Element Networks: adaptive, structured computation and memory
Ferran Alet, Adarsh K. Jeewajee, Maria Bauza +3 more
2019
Deep Rigid Instance Scene Flow
Wei-Chiu Ma, Shenlong Wang, Rui Hu +2 more
2019
Improving Interactive Reinforcement Agent Planning with Human Demonstration
Guangliang Li, Randy Gomez, Keisuke Nakamura +3 more
2019
Long-Term Human Video Generation of Multiple Futures Using Poses
Naoya Fushishita, Antonio Tejero-de-Pablos, Yusuke Mukuta +1 more
2019
A Comparison of Policy Search in Joint Space and Cartesian Space for Refinement of Skills
Alexander Fabisch
2019