Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Maximum Total Correlation Reinforcement Learning
Bang You, Puze Liu, Huaping Liu +2 more
2025
Neural network based control of unknown nonlinear systems via contraction analysis
Hao Yin, Claudio De Persis, Bayu Jayawardhana +1 more
2025
Offline Guarded Safe Reinforcement Learning for Medical Treatment Optimization Strategies
Runze Yan, Xun Shen, Akifumi Wachi +3 more
2025
Power flow and optimal power flow using quantum and digital annealers: a computational scalability analysis
Zeynab Kaseb, Matthias Moller, Pedro P. Vergara +1 more
2025
Extremum Seeking for PDE Systems using Physics-Informed Neural Networks
Haojin Guo, Zongyi Guo, Jianguo Guo +1 more
2025
Deep Learning for Continuous-Time Stochastic Control with Jumps
Patrick Cheridito, Jean-Loup Dupret, Donatien Hainaut
2025
World Models as Reference Trajectories for Rapid Motor Adaptation
Carlos Stein Brito, Daniel McNamee
2025
Certified Neural Approximations of Nonlinear Dynamics
Frederik Baymler Mathiesen, Nikolaus Vertovec, Francesco Fabiano +2 more
2025
A Neural Network Approach to a Modified Quadratic Boost Multiport Resonant Converter for Electric Vehicle Chargers
V. Rajeswari, Nalin Kant Mohanty
2025
Learning POMDPs with Linear Function Approximation and Finite Memory
Ali Devran Kara
2025
RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation
Matteo El-Hariry, Antoine Richard, Ricard M. Castan +4 more
2025
Comparison of Data-Driven Modeling Approaches for Control Optimization of Floating Offshore Wind Turbines
Athul K. Sundarrajan, Daniel R. Herber
2025
Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements
Gokul Puthumanaillam, Paulo Padrao, Jose Fuentes +2 more
2025
Neural-Enhanced Rate Adaptation and Computation Distribution for Emerging mmWave Multi-User 3D Video Streaming Systems
Babak Badnava, Jacob Chakareski, Morteza Hashemi
2025
Power Allocation for Delay Optimization in Device-to-Device Networks: A Graph Reinforcement Learning Approach
Hao Fang, Kai Huang, Hao Ye +4 more
2025
Counterfactual Explanations for Continuous Action Reinforcement Learning
Shuyang Dong, Shangtong Zhang, Lu Feng
2025
Transmission Neural Networks: Approximation and Optimal Control
Shuang Gao, Peter E. Caines
2025
Improving Generative Inverse Design of Rectangular Patch Antennas with Test Time Optimization
Beck LaBash, Shahriar Khushrushahi, Fabian Ruehle
2025
InnateCoder: Learning Programmatic Options with Foundation Models
Rubens O. Moraes, Quazi Asif Sadmine, Hendrik Baier +1 more
2025
A universal policy wrapper with guarantees
Anton Bolychev, Georgiy Malaniya, Grigory Yaremenko +2 more
2025
Multi-CALF: A Policy Combination Approach with Statistical Guarantees
Georgiy Malaniya, Anton Bolychev, Grigory Yaremenko +2 more
2025
Bridging the Reality Gap in Digital Twins with Context-Aware, Physics-Guided Deep Learning
Sizhe Ma, Katherine A. Flanigan, Mario Bergés
2025
Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions
Matthew Kim, William Sharpless, Hyun Joe Jeong +3 more
2025
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting
Millend Roy, Vladimir Pyltsov, Yinbo Hu
2025