Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Environment-Aware Learning of Smooth GNSS Covariance Dynamics for Autonomous Racing
Y. Deemo Chen, Arion Zimmermann, Thomas A. Berrueta +1 more
2026
CableRobotGraphSim: A Graph Neural Network for Modeling Partially Observable Cable-Driven Robot Dynamics
Nelson Chen, William R. Johnson, Rebecca Kramer-Bottiglio +2 more
2026
Improving Spatial Allocation for Energy System Coupling with Graph Neural Networks
Xuanhao Mu, Jakob Geiges, Nan Liu +2 more
2026
Localized Dynamics-Aware Domain Adaption for Off-Dynamics Offline Reinforcement Learning
Zhangjie Xia, Yu Yang, Pan Xu
2026
PowerModelsGAT-AI: Physics-Informed Graph Attention for Multi-System Power Flow with Continual Learning
Chidozie Ezeakunne, Jose E. Tabarez, Reeju Pokharel +1 more
2026
EKF-Based Depth Camera and Deep Learning Fusion for UAV-Person Distance Estimation and Following in SAR Operations
Luka Šiktar, Branimir Ćaran, Bojan Šekoranja +1 more
2026
Generalizing from References using a Multi-Task Reference and Goal-Driven RL Framework
Jiashun Wang, M. Eva Mungai, He Li +3 more
2026
Cross domain Persistent Monitoring for Hybrid Aerial Underwater Vehicles
Ricardo B. Grando, Victor A. Kich, Alisson H. Kolling +3 more
2026
Simulation-Ready Cluttered Scene Estimation via Physics-aware Joint Shape and Pose Optimization
Wei-Cheng Huang, Jiaheng Han, Xiaohan Ye +2 more
2026
EEG-Driven Intention Decoding: Offline Deep Learning Benchmarking on a Robotic Rover
Ghadah Alosaimi, Maha Alsayyari, Yixin Sun +3 more
2026
Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning
Thanh Nguyen, Tung Luu, Tri Ton +2 more
2026
What Matters for Simulation to Online Reinforcement Learning on Real Robots
Yarden As, Dhruva Tirumala, René Zurbrügg +4 more
2026
Impact of Training Dataset Size for ML Load Flow Surrogates
Timon Conrad, Changhun Kim, Johann Jäger +2 more
2026
Cost-Aware Diffusion Active Search
Arundhati Banerjee, Jeff Schneider
2026
Sizing of Battery Considering Renewable Energy Bidding Strategy with Reinforcement Learning
Taiyo Mantani, Hikaru Hoshino, Tomonari Kanazawa +1 more
2026
A Reinforcement Learning-based Transmission Expansion Framework Considering Strategic Bidding in Electricity Markets
Tomonari Kanazawa, Hikaru Hoshino, Eiko Furutani
2026
TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
Shirui Chen, Cole Harrison, Ying-Chun Lee +6 more
2026
HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
Ziyan Zhang, Changxin Wan, Peng Hao +5 more
2026
CLASH: Collision Learning via Augmented Sim-to-real Hybridization to Bridge the Reality Gap
Haotian He, Ning Guo, Siqi Shi +2 more
2026
Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL)
Harry Robertshaw, Nikola Fischer, Lennart Karstensen +6 more
2026
Enhancing Goal Inference via Correction Timing
Anjiabei Wang, Shuangge Wang, Tesca Fitzgerald
2026
TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs
Rong Fu, Yibo Meng, Guangzhen Yao +7 more
2026
Interacting safely with cyclists using Hamilton-Jacobi reachability and reinforcement learning
Aarati Andrea Noronha, Jean Oh
2026
Decision Support under Prediction-Induced Censoring
Yan Chen, Ruyi Huang, Cheng Liu
2026