Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Sustainable Transfer Learning for Adaptive Robot Skills
Khalil Abuibaid, Vinit Hegiste, Nigora Gafur +2 more
2026
Hyperfastrl: Hypernetwork-based reinforcement learning for unified control of parametric chaotic PDEs
Anil Sapkota, Omer San
2026
A Control Barrier Function-Constrained Model Predictive Control Framework for Safe Reinforcement Learning
Ali Umut Kaypak, Prashanth Krishnamurthy, Farshad Khorrami
2026
Uncertainty Estimation for Deep Reconstruction in Actuatic Disaster Scenarios with Autonomous Vehicles
Samuel Yanes Luis, Alejandro Casado Pérez, Alejandro Mendoza Barrionuevo +3 more
2026
Action Images: End-to-End Policy Learning via Multiview Video Generation
Haoyu Zhen, Zixian Gao, Qiao Sun +7 more
2026
Staggered Integral Online Conformal Prediction for Safe Dynamics Adaptation with Multi-Step Coverage Guarantees
Daniel M. Cherenson, Dimitra Panagou
2026
Transfer Learning for Neural Parameter Estimation applied to Building RC Models
Fabian Raisch, Timo Germann, J. Nathan Kutz +2 more
2026
Precise Aggressive Aerial Maneuvers with Sensorimotor Policies
Tianyue Wu, Guangtong Xu, Zihan Wang +6 more
2026
Physics-Informed Neural Optimal Control for Precision Immobilization Technique in Emergency Scenarios
Yangye Jiang, Jiachen Wang, Daofei Li
2026
Cross-fitted Proximal Learning for Model-Based Reinforcement Learning
Nishanth Venkatesh, Andreas A. Malikopoulos
2026
Vintix II: Decision Pre-Trained Transformer is a Scalable In-Context Reinforcement Learner
Andrei Polubarov, Lyubaykin Nikita, Alexander Derevyagin +11 more
2026
GaussFly: Contrastive Reinforcement Learning for Visuomotor Policies in 3D Gaussian Fields
Yuhang Zhang, Mingsheng Li, Yujing Shang +4 more
2026
Stratifying Reinforcement Learning with Signal Temporal Logic
Justin Curry, Alberto Speranzon
2026
Feasibility-Aware Imitation Learning for Benders Decomposition
Bernard T. Agyeman, Zhe Li, Ilias Mitrai +1 more
2026
DRL-Based Phase Optimization for O-RIS in Dual-Hop Hard-Switching FSO/RIS-aided RF and UWOC Systems
Aboozar Heydaribeni, Hamzeh Beyranvand, Sahar Eslami
2026
ReinVBC: A Model-based Reinforcement Learning Approach to Vehicle Braking Controller
Haoxin Lin, Junjie Zhou, Daheng Xu +1 more
2026
Finite-Time Analysis of Q-Value Iteration for General-Sum Stackelberg Games
Narim Jeong, Donghwan Lee
2026
Boosted Distributional Reinforcement Learning: Analysis and Healthcare Applications
Zequn Chen, Wesley J. Marrero
2026
Transmission Neural Networks: Inhibitory and Excitatory Connections
Shuang Gao, Peter E. Caines
2026
Learning from Imperfect Demonstrations via Temporal Behavior Tree-Guided Trajectory Repair
Aniruddh G. Puranic, Sebastian Schirmer, John S. Baras +1 more
2026
Robots Need Some Education: On the complexity of learning in evolutionary robotics
Fuda van Diggelen
2026
Multi-AUV Trajectory Learning for Sustainable Underwater IoT with Acoustic Energy Transfer
Mohamed Afouene Melki, Mohammad Shehab, Mohamed-Slim Alouini
2026
Reinforcement Learning-Based Energy Management for Industrial Park with Heterogeneous Batteries under Demand Response
Meng Yuan, Tinghui Yan, Zhezhuang Xu
2026
HAD: Combining Hierarchical Diffusion with Metric-Decoupled RL for End-to-End Driving
Wenhao Yao, Xinglong Sun, Zhenxin Li +4 more
2026