Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,574)
Clear ✕ILoSA: Interactive Learning of Stiffness and Attractors
Giovanni Franzese, Anna Mészáros, Luka Peternel +1 more
2021
Visual Motion Imagery Classification with Deep Neural Network based on Functional Connectivity
Byoung-Hee Kwon, Ji-Hoon Jeong, Seong-Whan Lee
2021
Preference-based Learning of Reward Function Features
Sydney M. Katz, Amir Maleki, Erdem Bıyık +1 more
2021
Dynamic Fusion Module Evolves Drivable Area and Road Anomaly Detection: A Benchmark and Algorithms
Hengli Wang, Rui Fan, Yuxiang Sun +1 more
2021
Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework
Nadine Wirkuttis, Jun Tani
2021
Hierarchical and Partially Observable Goal-driven Policy Learning with Goals Relational Graph
Xin Ye, Yezhou Yang
2021
A Bioinspired Approach-Sensitive Neural Network for Collision Detection in Cluttered and Dynamic Backgrounds
Xiao Huang, Hong Qiao, Hui Li +1 more
2021
A Bioinspired Retinal Neural Network for Accurately Extracting Small-Target Motion Information in Cluttered Backgrounds
Xiao Huang, Hong Qiao, Hui Li +1 more
2021
Learning Symbolic Operators for Task and Motion Planning
Tom Silver, Rohan Chitnis, Joshua Tenenbaum +2 more
2021
ACDnet: An action detection network for real-time edge computing based on flow-guided feature approximation and memory aggregation
Yu Liu, Fan Yang, Dominique Ginhac
2021
Tails: Chasing Comets with the Zwicky Transient Facility and Deep Learning
Dmitry A. Duev, Bryce T. Bolin, Matthew J. Graham +12 more
2021
Robot Navigation in a Crowd by Integrating Deep Reinforcement Learning and Online Planning
Zhiqian Zhou, Pengming Zhu, Zhiwen Zeng +3 more
2021
Where to go next: Learning a Subgoal Recommendation Policy for Navigation Among Pedestrians
Bruno Brito, Michael Everett, Jonathan P. How +1 more
2021
Memory-based Deep Reinforcement Learning for POMDPs
Lingheng Meng, Rob Gorbet, Dana Kulić
2021
Learning to Shift Attention for Motion Generation
You Zhou, Jianfeng Gao, Tamim Asfour
2021
Domain-invariant NBV Planner for Active Cross-domain Self-localization
Kanji Tanaka
2021
MUSBO: Model-based Uncertainty Regularized and Sample Efficient Batch Optimization for Deployment Constrained Reinforcement Learning
DiJia Su, Jason D. Lee, John M. Mulvey +1 more
2021
Learning Contact Dynamics using Physically Structured Neural Networks
Andreas Hochlehnert, Alexander Terenin, Steindór Sæmundsson +1 more
2021
On the Effects of Quantisation on Model Uncertainty in Bayesian Neural Networks
Martin Ferianc, Partha Maji, Matthew Mattina +1 more
2021
Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization
Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang +2 more
2021
Provably Correct Training of Neural Network Controllers Using Reachability Analysis
Xiaowu Sun, Yasser Shoukry
2021
Accelerated Sim-to-Real Deep Reinforcement Learning: Learning Collision Avoidance from Human Player
Hanlin Niu, Ze Ji, Farshad Arvin +3 more
2021
Learning Efficient Navigation in Vortical Flow Fields
Peter Gunnarson, Ioannis Mandralis, Guido Novati +2 more
2021
Decaying Clipping Range in Proximal Policy Optimization
Mónika Farsang, Luca Szegletes
2021