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 ✕Examining the Effectiveness of Transformer-Based Smart Contract Vulnerability Scan
Emre Balci, Timucin Aydede, Gorkem Yilmaz +1 more
2026
HERE: Hierarchical Active Exploration of Radiance Field with Epistemic Uncertainty Minimization
Taekbeom Lee, Dabin Kim, Youngseok Jang +1 more
2026
On-the-Fly VLA Adaptation via Test-Time Reinforcement Learning
Changyu Liu, Yiyang Liu, Taowen Wang +7 more
2026
Robust Evacuation for Multi-Drone Failure in Drone Light Shows
Minhyuk Park, Aloysius K. Mok, Tsz-Chiu Au
2026
A Power Electronic Converter Control Framework Based on Graph Neural Networks -- An Early Proof-of-Concept
Darius Jakobeit, Oliver Wallscheid
2026
Object-Centric World Models Meet Monte Carlo Tree Search
Rodion Vakhitov, Leonid Ugadiarov, Aleksandr Panov
2026
Self-Organizing Dual-Buffer Adaptive Clustering Experience Replay (SODACER) for Safe Reinforcement Learning in Optimal Control
Roya Khalili Amirabadi, Mohsen Jalaeian Farimani, Omid Solaymani Fard
2026
Coupling Smoothed Particle Hydrodynamics with Multi-Agent Deep Reinforcement Learning for Cooperative Control of Point Absorbers
Yi Zhan, Iván Martínez-Estévez, Min Luo +2 more
2026
Deep Reinforcement Learning based Control Design for Aircraft Recovery from Loss-of-Control Scenario
Imran Sayyed, Aayush Konar, Nandan Kumar Sinha
2026
Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions
Anastasios Manganaris, Vittorio Giammarino, Ahmed H. Qureshi +1 more
2026
CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space
Bingyi Liu, Jinbo He, Haiyong Shi +5 more
2026
EvoQRE: Modeling Bounded Rationality in Safety-Critical Traffic Simulation via Evolutionary Quantal Response Equilibrium
Phu-Hoa Pham, Chi-Nguyen Tran, Duy-Minh Dao-Sy +2 more
2026
Inverting Non-Injective Functions with Twin Neural Network Regression
Sebastian J. Wetzel
2026
Driver-Intention Prediction with Deep Learning: Real-Time Brain-to-Vehicle Communication
Niloufar Alavi, Swati Shah, Rezvan Alamian +1 more
2026
Safe Reinforcement Learning Beyond Baseline Control: A Hierarchical Framework for Space Triangle Tethered Formation System
Xinyi Tao, Panfeng Huang, Fan Zhang
2026
Nightmare Dreamer: Dreaming About Unsafe States And Planning Ahead
Oluwatosin Oseni, Shengjie Wang, Jun Zhu +1 more
2026
Optimizing Path Planning using Deep Reinforcement Learning for UGVs in Precision Agriculture
Laukik Patade, Rohan Rane, Sandeep Pillai
2026
Transformer-based Multi-agent Reinforcement Learning for Separation Assurance in Structured and Unstructured Airspaces
Arsyi Aziz, Peng Wei
2026
Enhanced-FQL($λ$), an Efficient and Interpretable RL with novel Fuzzy Eligibility Traces and Segmented Experience Replay
Mohsen Jalaeian-Farimani, Xiong Xiong, Luca Bascetta
2026
Hierarchical GNN-Based Multi-Agent Learning for Dynamic Queue-Jump Lane and Emergency Vehicle Corridor Formation
Haoran Su
2026
On-Device Deep Reinforcement Learning for Decentralized Task Offloading Performance trade-offs in the training process
Gorka Nieto, Idoia de la Iglesia, Cristina Perfecto +1 more
2026
Online Action-Stacking Improves Reinforcement Learning Performance for Air Traffic Control
Ben Carvell, George De Ath, Eseoghene Benjamin +1 more
2026
CoINS: Counterfactual Interactive Navigation via Skill-Aware VLM
Kangjie Zhou, Zhejia Wen, Zhiyong Zhuo +9 more
2026
Accounting for Optimal Control in the Sizing of Isolated Hybrid Renewable Energy Systems Using Imitation Learning
Simon Halvdansson, Lucas Ferreira Bernardino, Brage Rugstad Knudsen
2026