Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,661)
Clear ✕Reconfigurable co-processor architecture with limited numerical precision to accelerate deep convolutional neural networks
Sasindu Wijeratne, Sandaruwan Jayaweera, Mahesh Dananjaya +1 more
2021
Continual Learning for Image-Based Camera Localization
Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov +2 more
2021
Improved Robustness and Safety for Pre-Adaptation of Meta Reinforcement Learning with Prior Regularization
Lu Wen, Songan Zhang, H. Eric Tseng +3 more
2021
On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, Ehsan Adeli +17 more
2021
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