Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,574)
Clear ✕Learning Control Barrier Functions with High Relative Degree for Safety-Critical Control
Chuanzheng Wang, Yinan Li, Yiming Meng +2 more
2020
End-To-End Semi-supervised Learning for Differentiable Particle Filters
Hao Wen, Xiongjie Chen, Georgios Papagiannis +2 more
2020
MAGIC: Learning Macro-Actions for Online POMDP Planning using Generator-Critic.
Yiyuan Lee, Panpan Cai, David Hsu
2020
3-D Motion Capture of an Unmodified Drone with Single-chip Millimeter Wave Radar
Peijun Zhao, Chris Xiaoxuan Lu, Bing Wang +2 more
2020
Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning
Shuijing Liu, Peixin Chang, Weihang Liang +2 more
2020
Iterative SARSA: The Modified SARSA Algorithm for Finding the Optimal Path
Prajval Mohan, Pranav Narayan, Lakshya Sharma +2 more
2020
HATSUKI : An anime character like robot figure platform with anime-style expressions and imitation learning based action generation
Pin-Chu Yang, Mohammed Al-Sada, Chang-Chieh Chiu +6 more
2020
GPR-based Model Reconstruction System for Underground Utilities Using GPRNet
Jinglun Feng, Liang Yang, Ejup Hoxha +3 more
2020
Safety Verification of Model Based Reinforcement Learning Controllers
Akshita Gupta, Inseok Hwang
2020
Beyond Tabula-Rasa: a Modular Reinforcement Learning Approach for Physically Embedded 3D Sokoban
Péter Karkus, Mehdi Mirza, Arthur Guez +5 more
2020
Learning Equality Constraints for Motion Planning on Manifolds
Giovanni Sutanto, Isabel M. Rayas Fernández, Péter Englert +2 more
2020
Self-supervised Neural Audio-Visual Sound Source Localization via Probabilistic Spatial Modeling
Yoshiki Masuyama, Yoshiaki Bando, Kohei Yatabe +3 more
2020
Multi-Principal Assistance Games
Arnaud Fickinger, Simon Zhuang, Dylan Hadfield-Menell +1 more
2020
Effective Formal Verification of Neural Networks using the Geometry of Linear Regions.
Haitham Khedr, James Ferlez, Yasser Shoukry
2020
Collision Avoidance Robotics Via Meta-Learning (CARML)
Abhiram Iyer, Aravind Mahadevan
2020
Forgetful Experience Replay in Hierarchical Reinforcement Learning from Demonstrations
Alexey Skrynnik, Aleksey Staroverov, Ermek Aitygulov +3 more
2020
Learning Navigation Costs from Demonstration with Semantic Observations
Tianyu Wang, Vikas Dhiman, Nikolay Atanasov
2020
Learning and Reasoning for Robot Dialog and Navigation Tasks
Keting Lu, Shiqi Zhang, Peter Stone +1 more
2020
Safe and efficient inverse reinforcement learning
Daniel Sundquist Brown
2020
Simulation-based Lidar Super-resolution for Ground Vehicles
Tixiao Shan, Jinkun Wang, Fanfei Chen +2 more
2020
Object Recognition Using Neural Networks for Robotics Precision Application
Giampiero Celenta, Domenico Guida
2020
IEEE SLT 2021 Alpha-mini Speech Challenge: Open Datasets, Tracks, Rules\n and Baselines
Yihui Fu, Zhuoyuan Yao, Weipeng He +8 more
2020
Differentiate Containers Scheduling for Deep Learning Applications
Yun Jeong Song
2020
Bridging the gap between Markowitz planning and deep reinforcement learning (ICAPS PRL Presentation Slides 2020)
Eric Benhamou, David Saltiel, Sandrine Ungari +1 more
2020