Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Adaptive Selection of Informative Path Planning Strategies via Reinforcement Learning
Taeyeong Choi, Grzegorz Cielniak
2021
GeoCLR: Georeference Contrastive Learning for Efficient Seafloor Image Interpretation
Takaki Yamada, Adam Prügel-Bennett, Stefan B. Williams +2 more
2021
Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning
Lukas Brunke, Melissa Greeff, Adam W. Hall +4 more
2021
HAC Explore: Accelerating Exploration with Hierarchical Reinforcement Learning
Willie McClinton, Andrew Levy, George Konidaris
2021
Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations
Zike Yan, Yuxin Tian, Xuesong Shi +3 more
2021
Robotic Testbed for Rendezvous and Optical Navigation: Multi-Source Calibration and Machine Learning Use Cases
Tae Ha Park, Juergen Bosse, Simone D'Amico
2021
Towards real-world navigation with deep differentiable planners
Shu Ishida, João F. Henriques
2021
iGibson 2.0: Object-Centric Simulation for Robot Learning of Everyday Household Tasks
Chengshu Li, Fei Xia, Roberto Martín-Martín +13 more
2021
A Study on Dense and Sparse (Visual) Rewards in Robot Policy Learning
Abdalkarim Mohtasib, Gerhard Neumann, Heriberto Cuayahuitl
2021
DeepScanner: a Robotic System for Automated 2D Object Dataset Collection with Annotations
Valery Ilin, Ivan Kalinov, Pavel Karpyshev +1 more
2021
Learning to Design and Construct Bridge without Blueprint
Yunfei Li, Tao Kong, Lei Li +2 more
2021
Automatic classification of eclipsing binary stars using deep learning methods
Michal Čokina, Viera Maslej-Krešňáková, Peter Butka +1 more
2021
Accelerating the Learning of TAMER with Counterfactual Explanations
Jakob Karalus, Felix Lindner
2021
SABER: Data-Driven Motion Planner for Autonomously Navigating Heterogeneous Robots
Alexander Schperberg, Stephanie Tsuei, Stefano Soatto +1 more
2021
Hierarchical Representations and Explicit Memory: Learning Effective Navigation Policies on 3D Scene Graphs using Graph Neural Networks
Zachary Ravichandran, Lisa Peng, Nathan Hughes +2 more
2021
Self-Supervised Disentangled Representation Learning for Third-Person Imitation Learning
Jinghuan Shang, Michael S. Ryoo
2021
An Efficient Image-to-Image Translation HourGlass-based Architecture for Object Pushing Policy Learning
Marco Ewerton, Angel Martínez-González, Jean-Marc Odobez
2021
Surrogate Model-Based Explainability Methods for Point Cloud NNs
Hanxiao Tan, Helena Kotthaus
2021
Autonomous Reinforcement Learning via Subgoal Curricula
Archit Sharma, Abhishek Gupta, Sergey Levine +2 more
2021
Robust Optimization Framework for Training Shallow Neural Networks Using Reachability Method
Yejiang Yang, Weiming Xiang
2021
Developing efficient transfer learning strategies for robust scene recognition in mobile robotics using pre-trained convolutional neural networks
Hermann Baumgartl, Ricardo Buettner
2021
Online-Learning Deep Neuro-Adaptive Dynamic Inversion Controller for Model Free Control
Nathan Lutes, K. Krishnamurthy, Venkata Sriram Siddhardh Nadendla +1 more
2021
MarsExplorer: Exploration of Unknown Terrains via Deep Reinforcement Learning and Procedurally Generated Environments
Dimitrios I. Koutras, Athanasios Ch. Kapoutsis, Angelos A. Amanatiadis +1 more
2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana, Vibhavari Dasagi, Jesse Haviland +3 more
2021