Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,574)
Clear ✕Pontryagin Differentiable Programming: An End-to-End Learning and Control Framework
Wanxin Jin, Zhaoran Wang, Zhuoran Yang +1 more
2019
A 3D-Deep-Learning-based Augmented Reality Calibration Method for Robotic Environments using Depth Sensor Data
Linh Kästner, Vlad Catalin Frasineanu, Jens Lambrecht
2019
Pointwise Attention-Based Atrous Convolutional Neural Networks
Mobina Mahdavi, Fahimeh Fooladgar, Shohreh Kasaei
2019
Federated Imitation Learning: A Novel Framework for Cloud Robotic Systems with Heterogeneous Sensor Data
Boyi Liu, Lujia Wang, Ming Liu +1 more
2019
Variational Recurrent Models for Solving Partially Observable Control Tasks
Dongqi Han, Kenji Doya, Jun Tani
2019
Generating Robust Supervision for Learning-Based Visual Navigation Using Hamilton-Jacobi Reachability
Anjian Li, Somil Bansal, Georgios Giovanis +3 more
2019
Axial Attention in Multidimensional Transformers
Jonathan Ho, Nal Kalchbrenner, Dirk Weissenborn +1 more
2019
IRS: A Large Naturalistic Indoor Robotics Stereo Dataset to Train Deep Models for Disparity and Surface Normal Estimation
Qiang Wang, Shizhen Zheng, Qingsong Yan +3 more
2019
High Resolution Millimeter Wave Imaging For Self-Driving Cars
Junfeng Guan, Sohrab Madani, Suraj Jog +1 more
2019
Deep Reinforcement Learning for Motion Planning of Mobile Robots
Leonid Butyrev, Thorsten Edelhäußer, Christopher Mutschler
2019
Analysing Deep Reinforcement Learning Agents Trained with Domain Randomisation
Tianhong Dai, Kai Arulkumaran, Tamara Gerbert +3 more
2019
ViPR: Visual-Odometry-aided Pose Regression for 6DoF Camera Localization
Felix Ott, Tobias Feigl, Christoffer Löffler +1 more
2019
To Follow or not to Follow: Selective Imitation Learning from Observations
Youngwoon Lee, Edward S. Hu, Zhengyu Yang +1 more
2019
Large-scale Kernel Methods and Applications to Lifelong Robot Learning
Raffaello Camoriano
2019
Efficient Robotic Task Generalization Using Deep Model Fusion Reinforcement Learning
Tianying Wang, Hao Zhang, Wei Qi Toh +5 more
2019
Deep Direct Visual Odometry
Chaoqiang Zhao, Yang Tang, Qiyu Sun +1 more
2019
NeuRoRA: Neural Robust Rotation Averaging
Pulak Purkait, Tat-Jun Chin, Ian Reid
2019
AVID: Learning Multi-Stage Tasks via Pixel-Level Translation of Human Videos
Laura Smith, Nikita Dhawan, Marvin Zhang +2 more
2019
Decentralized Multi-Agent Reinforcement Learning with Networked Agents: Recent Advances
Kaiqing Zhang, Zhuoran Yang, Tamer Başar
2019
Effects of a Social Force Model reward in Robot Navigation based on Deep Reinforcement Learning
Óscar Gil Viyuela, Alberto Sanfeliu
2019
Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori +2 more
2019
Reinforcement Learning Upside Down: Don't Predict Rewards -- Just Map Them to Actions
Juergen Schmidhuber
2019
Inter-Level Cooperation in Hierarchical Reinforcement Learning
Abdul Rahman Kreidieh, Glen Berseth, Brandon Trabucco +3 more
2019
Differentiation of Blackbox Combinatorial Solvers
Marin Vlastelica, Anselm Paulus, Vít Musil +2 more
2019