Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
Latest papers(37,842)
Meta-Reinforcement Learning of Structured Exploration Strategies
Abhishek Gupta, Russell Mendonca, YuXuan Liu +2 more
2018
Real-Time Dense Stereo Matching With ELAS on FPGA Accelerated Embedded Devices
Oscar Rahnama, Duncan Frost, Ondrej Miksik +1 more
2018
Correlation Flow: Robust Optical Flow Using Kernel Cross-Correlators
Chen Wang, Tete Ji, Thien-Minh Nguyen +1 more
2018
Novel View Synthesis for Large-scale Scene using Adversarial Loss
Xiaochuan Yin, Henglai Wei, Penghong lin +2 more
2018
High-Dimensional Bayesian Optimization via Additive Models with Overlapping Groups
Paul Rolland, Jonathan Scarlett, Ilija Bogunovic +1 more
2018
Fusing Video and Inertial Sensor Data for Walking Person Identification
Yuehong Huang, Yu-Chee Tseng
2018
Learning High-level Representations from Demonstrations
Garrett Andersen, Peter Vrancx, Haitham Bou-Ammar
2018
Human and Smart Machine Co-Learning with Brain Computer Interface
Chang-Shing Lee, Mei-Hui Wang, Li-Wei Ko +5 more
2018
Accelerated Primal-Dual Policy Optimization for Safe Reinforcement Learning
Qingkai Liang, Fanyu Que, Eytan Modiano
2018
HyP-DESPOT: A Hybrid Parallel Algorithm for Online Planning under Uncertainty
Panpan Cai, Yuanfu Luo, David Hsu +1 more
2018
Learning to Race through Coordinate Descent Bayesian Optimisation
Rafael Oliveira, Fernando H. M. Rocha, Lionel Ott +3 more
2018
Reactive Reinforcement Learning in Asynchronous Environments
Jaden B. Travnik, Kory W. Mathewson, Richard S. Sutton +1 more
2018
A Unified Framework for Planning in Adversarial and Cooperative Environments
Anagha Kulkarni, Siddharth Srivastava, Subbarao Kambhampati
2018
Diversity is All You Need: Learning Skills without a Reward Function
Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz +1 more
2018
Improved GQ-CNN: Deep Learning Model for Planning Robust Grasps
Maciej Jaśkowski, Jakub Świątkowski, Michał Zając +7 more
2018
An Anytime Algorithm for Task and Motion MDPs
Siddharth Srivastava, Nishant Desai, Richard Freedman +1 more
2018
Generating Plans that Predict Themselves
Jaime F. Fisac, Chang Liu, Jessica B. Hamrick +4 more
2018
Sampling Superquadric Point Clouds with Normals
Paulo Ferreira
2018
Context-Specific Validation of Data-Driven Models
Somil Bansal, Shromona Ghosh, Alberto Sangiovanni-Vincentelli +2 more
2018
Joint 3D Reconstruction of a Static Scene and Moving Objects
Sergio Caccamo, Esra Ataer-Cansizoglu, Yuichi Taguchi
2018
RoboChain: A Secure Data-Sharing Framework for Human-Robot Interaction
Eduardo Castelló Ferrer, Ognjen Rudovic, Thomas Hardjono +1 more
2018
Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics
Ajinkya Jain, Scott Niekum
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