Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕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
Contextual Intelligence The Next Leap for Reinforcement Learning
André Biedenkapp
2026
Gradient Networks for Universal Magnetic Modeling of Synchronous Machines
Junyi Li, Tim Foissner, Floran Martin +2 more
2026
Fault Detection in Electrical Distribution System using Autoencoders
Sidharthenee Nayak, Victor Sam Moses Babu, Chandrashekhar Narayan Bhende +2 more
2026
ManeuverNet: A Soft Actor-Critic Framework for Precise Maneuvering of Double-Ackermann-Steering Robots with Optimized Reward Functions
Kohio Deflesselle, Mélodie Daniel, Aly Magassouba +2 more
2026
Decoupled Continuous-Time Reinforcement Learning via Hamiltonian Flow
Minh Nguyen
2026
Simulation-based Learning of Electrical Cabinet Assembly Using Robot Skills
Arik Laemmle, Balázs András Bálint, Philipp Tenbrock +4 more
2026
MoRL: Reinforced Reasoning for Unified Motion Understanding and Generation
Hongpeng Wang, Zeyu Zhang, Wenhao Li +1 more
2026
TWISTED-RL: Hierarchical Skilled Agents for Knot-Tying without Human Demonstrations
Guy Freund, Tom Jurgenson, Matan Sudry +1 more
2026
Near-Optimal Sample Complexity for Online Constrained MDPs
Chang Liu, Yunfan Li, Lin F. Yang
2026
Data-Driven Network LQG Mean Field Games with Heterogeneous Populations via Integral Reinforcement Learning
Jean Zhu, Shuang Gao
2026
A Comprehensive Survey on Deep Learning-Based LiDAR Super-Resolution for Autonomous Driving
June Moh Goo, Zichao Zeng, Jan Boehm
2026
GRAIL: Goal Recognition Alignment through Imitation Learning
Osher Elhadad, Felipe Meneguzzi, Reuth Mirsky
2026
Learning-based data-enabled moving horizon estimation with application to membrane-based biological wastewater treatment process
Xiaojie Li, Xunyuan Yin
2026
Probabilistic Reachability Analysis of Multi-scale Voltage Dynamics Using Reinforcement Learning
Naoki Hashima, Hikaru Hoshino, Luis David Pabón Ospina +1 more
2026
Encoder initialisation methods in the model augmentation setting
J. H. Hoekstra, B. Györök, R. Töth +1 more
2026
TCRL: Temporal-Coupled Adversarial Training for Robust Constrained Reinforcement Learning in Worst-Case Scenarios
Wentao Xu, Zhongming Yao, Weihao Li +4 more
2026
Data Augmentation and Attention for massive MIMO-based Indoor Localization in Changing Environments
Luisa Schuhmacher, Hazem Sallouha, Ihsane Gryech +1 more
2026
EARL: Energy-Aware Adaptive Antenna Control with Reinforcement Learning in O-RAN Cell-Free Massive MIMO Networks
Zilin Ge, Ozan Alp Topal, Irshad Ahmad Meer +2 more
2026
Lung nodule classification on CT scan patches using 3D convolutional neural networks
Volodymyr Sydorskyi
2026
Composable Model-Free RL for Navigation with Input-Affine Systems
Xinhuan Sang, Abdelrahman Abdelgawad, Roberto Tron
2026