Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Learning Optimal and Sample-Efficient Decision Policies with Guarantees
Daqian Shao
2026
Generating adversarial inputs for a graph neural network model of AC power flow
Robert Parker
2026
MePoly: Max Entropy Polynomial Policy Optimization
Hang Liu, Sangli Teng, Maani Ghaffari
2026
Reinforcement-Learning-Based Assistance Reduces Squat Effort with a Modular Hip--Knee Exoskeleton
Neethan Ratnakumar, Mariya Huzaifa Tohfafarosh, Saanya Jauhri +1 more
2026
Graph Neural Model Predictive Control for High-Dimensional Systems
Patrick Benito Eberhard, Luis Pabon, Daniele Gammelli +5 more
2026
Driving-Over Detection in the Railway Environment
Tobias Herrmann, Nikolay Chenkov, Florian Stark +2 more
2026
LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy
Hsin-Jung Yang, Zhanhong Jiang, Prajwal Koirala +3 more
2026
Learning-based augmentation of first-principle models: A linear fractional representation-based approach
Jan H. Hoekstra, Bendegúz M. Györök, Roland Tóth +1 more
2026
Continual uncertainty learning
Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara
2026
Spatio-temporal dual-stage hypergraph MARL for human-centric multimodal corridor traffic signal control
Xiaocai Zhang, Neema Nassir, Milad Haghani
2026
Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions
Zoran Majkic
2026
Machine Learning Argument of Latitude Error Model for LEO Satellite Orbit and Covariance Correction
Alex Moody, Penina Axelrad, Rebecca Russell
2026
Certifying Hamilton-Jacobi Reachability Learned via Reinforcement Learning
Prashant Solanki, Isabelle El-Hajj, Jasper J. van Beers +2 more
2026
Machine Learning Driven Prediction of the Behavior of Biohybrid Actuators
Michail-Antisthenis Tsompanas, Marco Perez Hernandez, Faisal Abdul-Fattah +9 more
2026
Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning
Emile Anand, Richard Hoffmann, Sarah Liaw +1 more
2026
Discovering Unknown Inverter Governing Equations via Physics-Informed Sparse Machine Learning
Jialin Zheng, Ruhaan Batta, Zhong Liu +1 more
2026
MARLEM: A Multi-Agent Reinforcement Learning Simulation Framework for Implicit Cooperation in Decentralized Local Energy Markets
Nelson Salazar-Pena, Alejandra Tabares, Andres Gonzalez-Mancera
2026
Harnessing Implicit Cooperation: A Multi-Agent Reinforcement Learning Approach Towards Decentralized Local Energy Markets
Nelson Salazar-Pena, Alejandra Tabares, Andres Gonzalez-Mancera
2026
ODYN: An All-Shifted Non-Interior-Point Method for Quadratic Programming in Robotics and AI
Jose Rojas, Aristotelis Papatheodorou, Sergi Martinez +3 more
2026
Hybrid Model Predictive Control with Physics-Informed Neural Network for Satellite Attitude Control
Carlo Cena, Mauro Martini, Marcello Chiaberge
2026
Solving Parameter-Robust Avoid Problems with Unknown Feasibility using Reinforcement Learning
Oswin So, Eric Yang Yu, Songyuan Zhang +3 more
2026
MeshMimic: Geometry-Aware Humanoid Motion Learning through 3D Scene Reconstruction
Qiang Zhang, Jiahao Ma, Peiran Liu +17 more
2026
Controlled oscillation modeling using port-Hamiltonian neural networks
Maximino Linares, Guillaume Doras, Thomas Hélie
2026
Efficient Knowledge Transfer for Jump-Starting Control Policy Learning of Multirotors through Physics-Aware Neural Architectures
Welf Rehberg, Mihir Kulkarni, Philipp Weiss +1 more
2026