Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Improving Mixed-Criticality Scheduling with Reinforcement Learning
Muhammad El-Mahdy, Nourhan Sakr, Rodrigo Carrasco
2025
Meta-Learning Driven Movable-Antenna-assisted Full-Duplex RSMA for Multi-User Communication: Performance and Optimization
Shreya Khisa, Ali Amhaz, Mohamed Elhattab +2 more
2025
An Exploration-free Method for a Linear Stochastic Bandit Driven by a Linear Gaussian Dynamical System
Jonathan Gornet, Yilin Mo, Bruno Sinopoli
2025
Koopman-Based Methods for EV Climate Dynamics: Comparing eDMD Approaches
Luca Meda, Stephanie Stockar
2025
Probabilistic State Estimation of Timed Probabilistic Discrete Event Systems via Artificial Neural Networks [Draft Version]
Omar Amri, Carla Seatzu, Alessandro Giua +1 more
2025
Verification of Autonomous Neural Car Control with KeYmaera X
Enguerrand Prebet, Samuel Teuber, André Platzer
2025
Robot Localization Using a Learned Keypoint Detector and Descriptor with a Floor Camera and a Feature Rich Industrial Floor
Piet Brömmel, Dominik Brämer, Oliver Urbann +1 more
2025
MORAL: A Multimodal Reinforcement Learning Framework for Decision Making in Autonomous Laboratories
Natalie Tirabassi, Sathish A. P. Kumar, Sumit Jha +1 more
2025
Moving Target Defense Against Adversarial False Data Injection Attacks In Power Grids
Yexiang Chen, Subhash Lakshminarayana, H. Vincent Poor
2025
How to Adapt Control Barrier Functions? A Learning-Based Approach with Applications to a VTOL Quadplane
Taekyung Kim, Randal W. Beard, Dimitra Panagou
2025
Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
Chuning Zhu, Raymond Yu, Siyuan Feng +3 more
2025
Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments
Chenyu Zhang, Daniil Cherniavskii, Antonios Tragoudaras +7 more
2025
Reservoir Computing: A New Paradigm for Neural Networks
Felix Grezes
2025
Regulating Spatial Fairness in a Tripartite Micromobility Sharing System via Reinforcement Learning
Matteo Cederle, Marco Fabris, Gian Antonio Susto
2025
MAD: A Magnitude And Direction Policy Parametrization for Stability Constrained Reinforcement Learning
Luca Furieri, Sucheth Shenoy, Danilo Saccani +2 more
2025
Industrial Internet Robot Collaboration System and Edge Computing Optimization
Haopeng Zhao, Dajun Tao, Tian Qi +3 more
2025
Hierarchical Policy-Gradient Reinforcement Learning for Multi-Agent Shepherding Control of Non-Cohesive Targets
Stefano Covone, Italo Napolitano, Francesco De Lellis +1 more
2025
On learning racing policies with reinforcement learning
Grzegorz Czechmanowski, Jan Węgrzynowski, Piotr Kicki +1 more
2025
Adapting World Models with Latent-State Dynamics Residuals
JB Lanier, Kyungmin Kim, Armin Karamzade +5 more
2025
Towards Enabling Learning for Time-Varying finite horizon Sequential Decision-Making Problems*
Dhananjay Tiwari, Salar Basiri, Srinivasa Salapaka
2025
Slot-Level Robotic Placement via Visual Imitation from Single Human Video
Dandan Shan, Kaichun Mo, Wei Yang +4 more
2025
Learning with Imperfect Models: When Multi-step Prediction Mitigates Compounding Error
Anne Somalwar, Bruce D. Lee, George J. Pappas +1 more
2025
Market-Oriented Flow Allocation for Thermal Solar Plants: An Auction-Based Methodology with Artificial Intelligence
Sara Ruiz-Moreno, Antonio J. Gallego, Manuel Macías +1 more
2025
IRS Assisted Decentralized Learning for Wideband Spectrum Sensing
Sicheng Liu, Qun Wang, Zhuwei Qin +3 more
2025