Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,917)
Clear ✕Trajectory-Regularized Stochastic Optimal Control via KL Divergence
Mintae Kim, Koushil Sreenath
2026
Learning Spatiotemporal Decision Priors for Efficient Path Planning under Partial Observability
Yi Liu, Hongda Zhang, Leyao Zou +7 more
2026
Variance-Reduced Q-Learning over Static and Time-Varying Networks
Sreejeet Maity, Feng Zhu, Aritra Mitra +1 more
2026
Curiosity-driven development of action and language in robots through self-exploration.
Tinker TJ, Doya K, Tani J
Science advances · 2026
LeAct: Learning to Reason from Expert Actions
Ziran Yang, Chengshuai Shi, Raj Ghugare +3 more
2026
A Graph-Based Control Interface for Traffic Signals on Heterogeneous Road Networks
Bertil Braun
2026
Scale Up Strategically: Learning Compositional Generalization via Bias-Aware Evaluation and Data Collection for Robotic Manipulation
Yu Qi, Zhang Ye, Xinyi Xu +6 more
2026
Compact Latent Coordination for Autonomous Vehicles at Unsignalized Intersections
Gil Lifshits, Igal Bilik, Gilad Katz
2026
Expert Behavior Prior Reinforcement Learning
Gong Gao, Weidong Zhao, Xianhui Liu +1 more
2026
An LLM-Driven Workflow for Automated Process Control Strategy Generation and Tuning from Dynamic Process Models
Ari Luna Rueda, Eike Cramer, Klaus Hellgardt +1 more
2026
When Persistency is not Exciting in Data-Driven Predictive Control
Gianluca Giacomelli, Chuyu Lu, Siep Weiland +1 more
2026
Deep Reinforcement Learning for Adaptive Gain Tuning in Control of Teleoperation Manipulators with Joint Flexibility and Time-Varying Delays
Armin Attarzadeh, Mohammad Ali Ghaemifar, Alireza Khanzadeh +1 more
2026
Certified Stochastic Control via Covariance Steering with Pick-to-Learn
Chun-Wei Kong, Zachary Donovan, Morteza Lahijanian +1 more
2026
Ordered Action Tokens for Visuomotor Policy Learning
Chaoqi Liu, Yue Zhao, Haonan Chen +4 more
2026
Deep Reinforcement-Learning-Guided Model Predictive Control for Preventing Overtakes in Autonomous Racing
Yufei Xi, Yijie Liao, Tulga Ersal
2026
Physically Constrained Federated Additive Models for O-RAN SLA-Risk Prediction
Aubida A. Al-Hameed, Mohammed M. H. Qazzaz, Maryam Hafeez +1 more
2026
Robust Asynchronous Q-Learning under Reward and State Corruption via Batching
Sreejeet Maity, Aritra Mitra
2026
Emergent Compositional Skills in Mixture-of-Experts VLAs
Shlok Shah, Rhiaan Jhaveri, Tharun Kumar Tiruppali Kalidoss +2 more
2026
Self-Supervised Bio-Inspired Robotic Trajectory Planning with Obstacle Avoidance
Miroslav Krupa, Miroslav Cibula, Kristína Malinovská
2026
Progress Reward Modeling for Robotic Learning: A Comprehensive Survey
Jianshu Zhang, Keliang Wu, Haoran Lu +8 more
2026
End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers
Xingjian Li, Kelvin Kan, Deepanshu Verma +3 more
2026
Local Stability and Gaussian Smoothing of Quantized Neural Networks
Sergey Salishev, Anton Makarov, Oleg Granichin
2026
Integrating Deep Learning and Contraction Theory for Robust Nonlinear State Estimation via Unsupervised Scientific Machine Learning
Yasmine Marani, Israel Filho, Eric Feron +1 more
2026
Diffusion ReRoll: Revisable Denoising for Robotic Sequential Prediction
Seonsoo Kim, Seongil Hong, Jun-Gill Kang
2026