Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(27,419)
Clear ✕Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning
Ziyang Yao, Haochen Liu, Yuncheng Jiang +10 more
2026
Auditing Demonstration Curation Metrics: Action-Only Scorers Fail on the Structural Defects That Degrade Imitation Policies
Aarav Bedi
2026
Constrained Deep Reinforcement Learning for Cognitive Radar Resource Management
Ziyang Lu, M. Cenk Gursoy, Chilukuri K. Mohan +1 more
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
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
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