Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Focal plane wavefront control with model-based reinforcement learning
Jalo Nousiainen, Iremsu Taskin, Markus Kasper +2 more
2026
Bridging RL and MPC for mixed-integer optimal control with application to Formula 1 race strategies
Joschua Wüthrich, Romir Damle, Giona Fieni +3 more
2026
Analytical Probabilistic Power Flow Approximation Using Invertible Neural Networks
Weijie Xia, James Ciyu Qin, Edgar Mauricio Salazar Duque +4 more
2026
Toward Efficient Deployment and Synchronization in Digital Twins-Empowered Networks
Hossam Farag, Cedomir Stefanovic
2026
Incremental stability in $p=1$ and $p=\infty$: classification and synthesis
Simon Kuang, Xinfan Lin
2026
Real Time Local Wind Inference for Robust Autonomous Navigation
Spencer Folk
2026
Set-Based Value Function Characterization and Neural Approximation of Stabilization Domains for Input-Constrained Discrete-Time Systems
Mohamed Serry, S. Sivaranjani, Jun Liu
2026
Certified Set Convergence for Piecewise Affine Systems via Neural Lyapunov Functions
Yanliang Huang, Peng Xie, Zhen Zhang +3 more
2026
Scalable machine learning-based approaches for energy saving in densely deployed Open RAN
Xuanyu Liang, Ahmed Al-Tahmeesschi, Swarna Chetty +3 more
2026
Finite-Time Analysis of Projected Two-Time-Scale Stochastic Approximation
Yitao Bai, Thinh T. Doan, Justin Romberg
2026
Contracting Neural Networks: Sharp LMI Conditions with Applications to Integral Control and Deep Learning
Anand Gokhale, Anton V. Proskurnikov, Yu Kawano +1 more
2026
Phyelds: A Pythonic Framework for Aggregate Computing
Gianluca Aguzzi, Davide Domini, Nicolas Farabegoli +1 more
2026
ICAT: Incident-Case-Grounded Adaptive Testing for Physical-Risk Prediction in Embodied World Models
Zhenglin Lai, Sirui Huang, Yuteng Li +3 more
2026
An Output Feedback Q-learning Algorithm for Optimal Control of Nonlinear Systems with Koopman Linear Embedding
Victor G. Lopez, Malte Heinrich, Matthias A. Müller
2026
Temporal Memory for Resource-Constrained Agents: Continual Learning via Stochastic Compress-Add-Smooth
Michael Chertkov
2026
Model Predictive Path Integral PID Control for Learning-Based Path Following
Teruki Kato, Koshi Oishi, Seigo Ito
2026
Scaling Whole-Body Human Musculoskeletal Behavior Emulation for Specificity and Diversity
Yunyue Wei, Chenhui Zuo, Shanning Zhuang +3 more
2026
Real-Time Surrogate Modeling for Fast Transient Prediction in Inverter-Based Microgrids Using CNN and LightGBM
Osasumwen Cedric Ogiesoba-Eguakun, Kaveh Ashenayi, Suman Rath
2026
Efficient Camera Pose Augmentation for View Generalization in Robotic Policy Learning
Sen Wang, Huaiyi Dong, Jingyi Tian +7 more
2026
A Pontryagin Method of Model-based Reinforcement Learning via Hamiltonian Actor-Critic
Chengyang Gu, Yuxin Pan, Hui Xiong +1 more
2026
Optimistic Online LQR via Intrinsic Rewards
Marcell Bartos, Bruce D. Lee, Lenart Treven +3 more
2026
Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
Alex Zongo, Filippos Fotiadis, Ufuk Topcu +1 more
2026
Dynamic Lookahead Distance via Reinforcement Learning-Based Pure Pursuit for Autonomous Racing
Mohamed Elgouhary, Amr S. El-Wakeel
2026
Intelligent Radio Resource Slicing for 6G In-Body Subnetworks
Samira Abdelrahman, Hossam Farag
2026