Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Learning Adaptive Parameter Policies for Nonlinear Bayesian Filtering
Ondrej Straka, Felipe Giraldo-Grueso, Renato Zanetti
2026
Heavy-Tailed and Long-Range Dependent Noise in Stochastic Approximation: A Finite-Time Analysis
Siddharth Chandak, Anuj Yadav, Ayfer Ozgur +1 more
2026
Evolving Embodied Intelligence: Graph Neural Network--Driven Co-Design of Morphology and Control in Soft Robotics
Jianqiang Wang, Shuaiqun Pan, Alvaro Serra-Gomez +2 more
2026
PA2D-MORL: Pareto Ascent Directional Decomposition based Multi-Objective Reinforcement Learning
Tianmeng Hu, Biao Luo
2026
Verifiable Error Bounds for Physics-Informed Neural Network Solutions of Lyapunov and Hamilton-Jacobi-Bellman Equations
Jun Liu
2026
Remarks on Lipschitz-Minimal Interpolation: Generalization Bounds and Neural Network Implementation
Arthur C. B. de Oliveira, Ruigang Wang, Ian R. Manchester +1 more
2026
Markov Potential Game and Multi-Agent Reinforcement Learning for Autonomous Driving
Huiwen Yan, Mushuang Liu
2026
Safety-Guaranteed Imitation Learning from Nonlinear Model Predictive Control for Spacecraft Close Proximity Operations
Alexander Meinert, Niklas Baldauf, Peter Stadler +1 more
2026
Learn for Variation: Variationally Guided AAV Trajectory Learning in Differentiable Environments
Xiucheng Wang, Zhenye Chen, Nan Cheng
2026
WarPGNN: A Parametric Thermal Warpage Analysis Framework with Physics-aware Graph Neural Network
Haotian Lu, Jincong Lu, Sachin Sachdeva +1 more
2026
Scaling Sim-to-Real Reinforcement Learning for Robot VLAs with Generative 3D Worlds
Andrew Choi, Xinjie Wang, Zhizhong Su +1 more
2026
RE-SAC: Disentangling aleatoric and epistemic risks in bus fleet control: A stable and robust ensemble DRL approach
Yifan Zhang, Liang Zheng
2026
DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
Zilin Huang, Zihao Sheng, Zhengyang Wan +4 more
2026
R2-Dreamer: Redundancy-Reduced World Models without Decoders or Augmentation
Naoki Morihira, Amal Nahar, Kartik Bharadwaj +3 more
2026
RHYME-XT: A Neural Operator for Spatiotemporal Control Systems
Marijn Ruiter, Miguel Aguiar, Jake Rap +2 more
2026
Generative Control as Optimization: Time Unconditional Flow Matching for Adaptive and Robust Robotic Control
Zunzhe Zhang, Runhan Huang, Yicheng Liu +3 more
2026
Benchmarking Reinforcement Learning via Stochastic Converse Optimality: Generating Systems with Known Optimal Policies
Sinan Ibrahim, Grégoire Ouerdane, Hadi Salloum +3 more
2026
Interpreting Context-Aware Human Preferences for Multi-Objective Robot Navigation
Tharun Sethuraman, Subham Agrawal, Nils Dengler +3 more
2026
A Tutorial on Learning-Based Radio Map Construction: Data, Paradigms, and Physics-Awareness
Xiucheng Wang, Yuhao Pan, Nan Cheng
2026
SafeLand: Safe Autonomous Landing in Unknown Environments with Bayesian Semantic Mapping
Markus Gross, Andreas Greiner, Sai Bharadhwaj Matha +3 more
2026
Physics-informed Deep Mixture-of-Koopmans Vehicle Dynamics Model with Dual-branch Encoder for Distributed Electric-drive Trucks
Jinyu Miao, Pu Zhang, Rujun Yan +8 more
2026
Physics-informed offline reinforcement learning eliminates catastrophic fuel waste in maritime routing
Aniruddha Bora, Julie Chalfant, Chryssostomos Chryssostomidis
2026
ReLMXEL: Adaptive RL-Based Memory Controller with Explainable Energy and Latency Optimization
Panuganti Chirag Sai, Gandholi Sarat, R. Raghunatha Sarma +2 more
2026
WINFlowNets: Warm-up Integrated Networks Training of Generative Flow Networks for Robotics and Machine Fault Adaptation
Zahin Sufiyan, Shadan Golestan, Yoshihiro Mitsuka +2 more
2026