Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,809)
Clear ✕Machine learning guided formulation design of digital light processing printable elastomers beyond viscosity stretchability tradeoff.
Song Y, Park B, Jeon S +3 more
Nature communications · 2026
SR-FSL: Sample reconstruction enhanced few-shot learning for real-time motor unit identification from surface electromyogram.
Liu Y, Sheng Z, Li D +3 more
Journal of neuroengineering and rehabilitation · 2026
CAPE: Control Algorithm Performance Evaluation under Learned Vehicle Dynamics Models
Malik Ali, Musabbir Ahmed Arrafi, Nicholas M. Stiffler +1 more
2026
FlowPRO: Reward-Free Reinforced Fine-Tuning of Flow-Matching VLAs via Proximalized Preference Optimization
Yihao Wu, He Zhang, Junbo Tan +2 more
2026
Learning from Demonstrations over Riemannian Manifolds using Neural ODEs: An Extended Abstract
Diana Cuervo Espinosa, Mahathi Anand, Angela P. Schoellig
2026
X4Val: Learning Neural Surrogates for Variance-Reduced Policy Evaluation
Rachel Luo, Michael Watson, Apoorva Sharma +6 more
2026
Generalization of World Models under Environmental Variability for Vision-based Quadrotor Navigation
Luca Zanatta, Grzegorz Malczyk, Kostas Alexis
2026
Potential-Guided Flow Matching for Vision-Language-Action Policy Improvement
Yunpeng Mei, Jiakai He, Hongjie Cao +12 more
2026
D$^3$-MoE:Dual Disentangled Diffusion Mixture-of-Experts for Style-Controllable End-to-End Autonomous Driving
Renju Feng, Rukang Wang, Ning Xi +4 more
2026
Towards Guaranteed Optimal PID Tuning for Uncertain Nonlinear Systems
Jingru Zhu, Cheng Zhao, Lei Guo
2026
COP-Q: Safety-First Reinforcement Learning for Robot Control via Cholesky-Ordered Projection
Guopeng Li, Moritz A. Zanger, Matthijs T. J. Spaan +1 more
2026
Self-Optimizing Control of Continuous Processes Based on Reinforcement Learning
Ziqi Zhuo, Junghui Chen, Lei Xie +1 more
2026
OSCAR: Omni-Embodiment Action-Conditioned World Model for Robotics
Zhuoyuan Wu, Jun Gao
2026
3DThinkVLA: Endowing Vision-Language-Action Models with Latent 3D Priors via 3D-Thinking-Guided Co-training
Jiaxin Shi, Xidong Zhang, Fucai Zhu +3 more
2026
Input-to-State Stable Bundle Koopman Neural ODEs for Learning Controlled Dynamics under Environmental Constraints
Lin Feng
2026
Policy Gradient for Continuous-Time Robust Markov Decision Processes
Tanya Veeravalli, David M. Bossens, Atsushi Nitanda
2026
Dual Advantage Fields
Alexey Zemtsov, Maxim Bobrin, Alexander Nikulin +5 more
2026
CoPark: Learning Reactive Parking via Self-Play
Jiarong Wei, Yanxing Chen, Sinuo Song +3 more
2026
CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization
Tewodros Ayalew, Matthew Jeung, Samuel Wheeler +5 more
2026
AgenticRL: Self-Refining Agentic Reinforcement Learning for Vision-Conditioned UAV Navigation
Roohan Ahmed Khan, Yasheerah Yaqoot, Muhammad Ahsan Mustafa +1 more
2026
Let the Dynamics Flow: Stable Flow Matching Dynamical Systems
Rodrigo Pérez-Dattari, Francisco Leiva, Andrea Testa +3 more
2026
MAGNIFIED: RL Fine-tuning of Multimodal Large Language Models for Motion Planning
Letian Chen, Yiren Lu, Justin Fu +5 more
2026
An RRAM-based Hardware Implementation of a Radial Basis Function Neuron for Edge Classifiers
Georgios Papandroulidakis, Shady Agwa, Themis Prodromakis
2026
Admittance Sensitivity-Informed Modular GP for Scalable Topology-Adaptive Power-Flow Learning
Henrique O. Caetano, Carlos Dias Maciel, Rahul K. Gupta
2026