Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Bridging the gap between Markowitz planning and deep reinforcement learning
Eric Benhamou, David Saltiel, Sandrine Ungari +1 more
2020
Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs
Shan An, Haogang Zhu, Dong Wei +2 more
2020
Virtual Experience to Real World Application: Sidewalk Obstacle Avoidance Using Reinforcement Learning for Visually Impaired
Faruk Ahmed, Md Sultan Mahmud, Kazi Ashraf Moinuddin +2 more
2020
I Like to Move It: 6D Pose Estimation as an Action Decision Process
Benjamin Busam, Hyun Jun Jung, Nassir Navab
2020
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu, Josiah Wong, Ajay Mandlekar +6 more
2020
Hierarchical Affordance Discovery using Intrinsic Motivation
Alexandre Manoury, Sao Mai Nguyen, Cédric Buche
2020
Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization
Pengju Zhang, Yihong Wu, Bingxi Liu
2020
Proceedings 36th International Conference on Logic Programming (Technical Communications)
Francesco Ricca, Alessandra Russo, Sergio Greco +9 more
2020
Deep Learning for 3D Point Cloud Understanding: A Survey
Haoming Lu, Humphrey Shi
2020
Counterfactual Explanation and Causal Inference in Service of Robustness in Robot Control
Simón C. Smith, Subramanian Ramamoorthy
2020
Multi-species Seagrass Detection and Classification from Underwater Images
Scarlett Raine, Ross Marchant, Peyman Moghadam +3 more
2020
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain +1 more
2020
Domain Adaptation for Outdoor Robot Traversability Estimation from RGB data with Safety-Preserving Loss
Simone Palazzo, Dario C. Guastella, Luciano Cantelli +5 more
2020
3D_DEN: Open-ended 3D Object Recognition using Dynamically Expandable Networks
Sudhakaran Jain, Hamidreza Kasaei
2020
A Multisensory Learning Architecture for Rotation-invariant Object Recognition
Murat Kirtay, Guido Schillaci, Verena V. Hafner
2020
Efficient Competitive Self-Play Policy Optimization
Yuanyi Zhong, Yuan Zhou, Jian Peng
2020
Risk-Sensitive Sequential Action Control with Multi-Modal Human Trajectory Forecasting for Safe Crowd-Robot Interaction
Haruki Nishimura, Boris Ivanovic, Adrien Gaidon +2 more
2020
Planning with Learned Object Importance in Large Problem Instances using Graph Neural Networks
Tom Silver, Rohan Chitnis, Aidan Curtis +3 more
2020
Embodied Visual Navigation with Automatic Curriculum Learning in Real Environments
Steven D. Morad, Roberto Mecca, Rudra P. K. Poudel +2 more
2020
Flightmare: A Flexible Quadrotor Simulator
Yunlong Song, Selim Naji, Elia Kaufmann +2 more
2020
LodoNet: A Deep Neural Network with 2D Keypoint Matchingfor 3D LiDAR Odometry Estimation
Ce Zheng, Yecheng Lyu, Ming Li +1 more
2020
Control of a Nature-inspired Scorpion using Reinforcement Learning
Aakriti Agrawal, V S Rajashekhar, Rohitkumar Arasanipalai +1 more
2020
Human-in-the-Loop Methods for Data-Driven and Reinforcement Learning Systems
Vinicius G. Goecks
2020
Sample Efficiency in Sparse Reinforcement Learning: Or Your Money Back
Trevor A. McInroe
2020