Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Visual search and recognition for robot task execution and monitoring
Lorenzo Mauro, Francesco Puja, Simone Grazioso +4 more
2019
Interactively shaping robot behaviour with unlabeled human instructions
Anis Najar, Olivier Sigaud, Mohamed Chetouani
2019
Competitive Experience Replay
Hao Liu, Alexander Trott, Richard Socher +1 more
2019
Addressing Sample Complexity in Visual Tasks Using HER and Hallucinatory GANs
Himanshu Sahni, Toby Buckley, Pieter Abbeel +1 more
2019
Go-Explore: a New Approach for Hard-Exploration Problems
Adrien Ecoffet, Joost Huizinga, Joel Lehman +2 more
2019
Structural Material Property Tailoring Using Deep Neural Networks
Oshin Olesegun, Ryan Noraas, Michael Giering +1 more
2019
Lyapunov-based Safe Policy Optimization for Continuous Control
Yinlam Chow, Ofir Nachum, Aleksandra Faust +2 more
2019
Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning
Hassam Ullah Sheikh, Ladislau Bölöni
2019
ACNN: a Full Resolution DCNN for Medical Image Segmentation
Xiao-Yun Zhou, Jian-Qing Zheng, Peichao Li +1 more
2019
Action Robust Reinforcement Learning and Applications in Continuous Control
Chen Tessler, Yonathan Efroni, Shie Mannor
2019
Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics
Antonin Raffin, Ashley Hill, René Traoré +3 more
2019
Sample Complexity of Estimating the Policy Gradient for Nearly Deterministic Dynamical Systems
Osbert Bastani
2019
Self-Supervised Deep Learning on Point Clouds by Reconstructing Space
Jonathan Sauder, Bjarne Sievers
2019
Towards Physically Safe Reinforcement Learning under Supervision
Yinan Zhang, Devin Balkcom, Haoxiang Li
2019
The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and Interactions
Alberto Garcia-Garcia, Pablo Martinez-Gonzalez, Sergiu Oprea +4 more
2019
Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
Boyi Liu, Lujia Wang, Ming Liu
2019
Monocular Outdoor Semantic Mapping with a Multi-task Network
Yucai Bai, Lei Fan, Ziyu Pan +1 more
2019
Virtual-to-Real-World Transfer Learning for Robots on Wilderness Trails
Michael L. Iuzzolino, Michael E. Walker, Daniel Szafir
2019
Input Prioritization for Testing Neural Networks
Taejoon Byun, Vaibhav Sharma, Abhishek Vijayakumar +2 more
2019
Low Level Control of a Quadrotor with Deep Model-Based Reinforcement Learning
Nathan O. Lambert, Daniel S. Drew, Joseph Yaconelli +3 more
2019
An Underwater Image Enhancement Benchmark Dataset and Beyond
Chongyi Li, Chunle Guo, Wenqi Ren +4 more
2019
Risk-Aware Active Inverse Reinforcement Learning
Daniel S. Brown, Yuchen Cui, Scott Niekum
2019
Recurrent Control Nets for Deep Reinforcement Learning
Vincent Liu, Ademi Adeniji, Nathaniel Lee +2 more
2019
Self-supervised Learning of Image Embedding for Continuous Control
Carlos Florensa, Jonas Degrave, Nicolas Heess +2 more
2019