Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
Latest papers(37,842)
End-to-End Deep Imitation Learning: Robot Soccer Case Study
Okan Aşık, Binnur Görer, H. Levent Akın
2018
The Virtuous Machine - Old Ethics for New Technology?
Nicolas Berberich, Klaus Diepold
2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor +8 more
2018
Modular meta-learning
Ferran Alet, Tomás Lozano-Pérez, Leslie P. Kaelbling
2018
Adversarial Active Exploration for Inverse Dynamics Model Learning
Zhang-Wei Hong, Tsu-Jui Fu, Tzu-Yun Shann +2 more
2018
An Overview of Perception Methods for Horticultural Robots: From Pollination to Harvest
Ho Seok Ahn, Feras Dayoub, Marija Popovic +3 more
2018
Plenoptic Monte Carlo Object Localization for Robot Grasping under Layered Translucency
Zheming Zhou, Zhiqiang Sui, Odest Chadwicke Jenkins
2018
Physics-based Scene-level Reasoning for Object Pose Estimation in Clutter
Chaitanya Mitash, Abdeslam Boularias, Kostas Bekris
2018
Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards
Rituraj Kaushik, Konstantinos Chatzilygeroudis, Jean-Baptiste Mouret
2018
Sparse 3D Point-cloud Map Upsampling and Noise Removal as a vSLAM Post-processing Step: Experimental Evaluation
Andrey Bokovoy, Konstantin Yakovlev
2018
Learning Task-Oriented Grasping for Tool Manipulation from Simulated Self-Supervision
Kuan Fang, Yuke Zhu, Animesh Garg +4 more
2018
The Perception of Humanoid Robots for Domestic Use in Saudi Arabia
Ohoud Alharbi, Ahmed Sabbir Arif
2018
VUNet: Dynamic Scene View Synthesis for Traversability Estimation using an RGB Camera
Noriaki Hirose, Amir Sadeghian, Fei Xia +2 more
2018
Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation
Peter R. Florence, Lucas Manuelli, Russ Tedrake
2018
Human-Interactive Subgoal Supervision for Efficient Inverse Reinforcement Learning
Xinlei Pan, Eshed Ohn-Bar, Nicholas Rhinehart +3 more
2018
Learning Instance Segmentation by Interaction
Deepak Pathak, Yide Shentu, Dian Chen +4 more
2018
Flexible Neural Representation for Physics Prediction
Damian Mrowca, Chengxu Zhuang, Elias Wang +4 more
2018
Novel Convolution Kernels for Computer Vision and Shape Analysis based on Electromagnetism
Dominique Beaini, Sofiane Achiche, Yann-Seing Law-Kam Cio +1 more
2018
Hybrid Bayesian Eigenobjects: Combining Linear Subspace and Deep Network Methods for 3D Robot Vision
Benjamin Burchfiel, George Konidaris
2018
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Jan Matas, Stephen James, Andrew J. Davison
2018
Learning Neural Parsers with Deterministic Differentiable Imitation Learning
Tanmay Shankar, Nicholas Rhinehart, Katharina Muelling +1 more
2018
Stagewise Safe Bayesian Optimization with Gaussian Processes
Yanan Sui, Vincent Zhuang, Joel W. Burdick +1 more
2018
HybridNet: Integrating Model-based and Data-driven Learning to Predict Evolution of Dynamical Systems
Yun Long, Xueyuan She, Saibal Mukhopadhyay
2018
Learning Object Localization and 6D Pose Estimation from Simulation and Weakly Labeled Real Images
Jean-Philippe Mercier, Chaitanya Mitash, Philippe Giguère +1 more
2018