Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,670)
Clear ✕Learning to Control and Coordinate Mixed Traffic Through Robot Vehicles at Complex and Unsignalized Intersections
Dawei Wang, Weizi Li, Lei Zhu +1 more
2023
Predictive World Models from Real-World Partial Observations
Robin Karlsson, Alexander Carballo, Keisuke Fujii +2 more
2023
Efficient Preference-Based Reinforcement Learning Using Learned Dynamics Models
Yi Liu, Gaurav Datta, Ellen Novoseller +1 more
2023
Fast Kinodynamic Planning on the Constraint Manifold with Deep Neural Networks
Piotr Kicki, Puze Liu, Davide Tateo +4 more
2023
BiCurNet: Pre-Movement EEG based Neural Decoder for Biceps Curl Trajectory Estimation
Manali Saini, Anant Jain, Lalan Kumar +3 more
2023
LTS-NET: End-to-end Unsupervised Learning of Long-Term 3D Stable objects
Ibrahim Hroob, Sergi Molina, Riccardo Polvara +2 more
2023
A Semi-supervised Approach for Activity Recognition from Indoor Trajectory Data
Mashud Rana, Ashfaqur Rahman, Daniel Smith
2023
Reinforcement Learning-Based Air Traffic Deconfliction
Denis Osipychev, Dragos Margineantu, Girish Chowdhary
2023
Robofriend: An Adpative Storytelling Robotic Teddy Bear -- Technical Report
Ido Glanz, Matan Weksler, Erez Karpas +1 more
2023
A Policy Optimization Method Towards Optimal-time Stability
Shengjie Wang, Fengbo Lan, Xiang Zheng +5 more
2023
New Challenges in Reinforcement Learning: A Survey of Security and Privacy
Yunjiao Lei, Dayong Ye, Sheng Shen +3 more
2022
Power Control for 6G Industrial Wireless Subnetworks: A Graph Neural Network Approach
Daniel Abode, Ramoni Adeogun, Gilberto Berardinelli
2022
Tuning Synaptic Connections instead of Weights by Genetic Algorithm in Spiking Policy Network
Duzhen Zhang, Tielin Zhang, Shuncheng Jia +2 more
2022
Detection of out-of-distribution samples using binary neuron activation patterns
Bartlomiej Olber, Krystian Radlak, Adam Popowicz +2 more
2022
Representation Learning in Deep RL via Discrete Information Bottleneck
Riashat Islam, Hongyu Zang, Manan Tomar +8 more
2022
Don't do it: Safer Reinforcement Learning With Rule-based Guidance
Ekaterina Nikonova, Cheng Xue, Jochen Renz
2022
Understanding the Complexity Gains of Single-Task RL with a Curriculum
Qiyang Li, Yuexiang Zhai, Yi Ma +1 more
2022
Towards Long-term Autonomy: A Perspective from Robot Learning
Zhi Yan, Li Sun, Tomas Krajnik +2 more
2022
SHIRO: Soft Hierarchical Reinforcement Learning
Kandai Watanabe, Mathew Strong, Omer Eldar
2022
Mantis: Enabling Energy-Efficient Autonomous Mobile Agents with Spiking Neural Networks
Rachmad Vidya Wicaksana Putra, Muhammad Shafique
2022
SupeRGB-D: Zero-shot Instance Segmentation in Cluttered Indoor Environments
Evin Pınar Örnek, Aravindhan K Krishnan, Shreekant Gayaka +4 more
2022
TransPath: Learning Heuristics For Grid-Based Pathfinding via Transformers
Daniil Kirilenko, Anton Andreychuk, Aleksandr Panov +1 more
2022
Co-evolving morphology and control of soft robots using a single genome
Fabio Tanaka, Claus Aranha
2022
Scalable Multi-Agent Reinforcement Learning for Warehouse Logistics with Robotic and Human Co-Workers
Aleksandar Krnjaic, Raul D. Steleac, Jonathan D. Thomas +8 more
2022