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 ✕Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems
Rongping Zhou, Omid Tavallaie, Shuaijun Chen +1 more
2026
Diffusion-Residual Model Predictive Steering Control for Vehicle Stabilization at the Limit of Handling under Model Uncertainty
Bongsob Song
2026
Source-Lifted Flow Matching for Intervenable Multimodal Imitation
He Zhang, Ying Sun, Pengteng Li +6 more
2026
MoMBS: Mixed-order sampling improves training on heterogeneous-quality data for universal lesion detection.
Li H, Liu J, Schüffler P +2 more
Medical image analysis · 2026
Robustly Invertible Nonlinear Dynamics and the BiLipREN: From Inversion-Based Control to Generative Trajectory Modelling
Yurui Zhang, Ruigang Wang, Ian R. Manchester
2026
A Distributionally Robust Multi-agent Reinforcement Learning Framework for Intelligent Intersection Control
Shuwei Pei, Joran Borger, Arda Kosay +3 more
2026
Revisiting Euler-Angle Regression with Kolmogorov-Arnold Networks
Yangting Sun, Zijun Cui, Yufei Zhang
2026
CoDiMAD: Diffusion-Based Privileged Distillation for Communication-Free Multi-Robot Coordination
Jiyue Tao, Shunheng Xin, Tongsheng Shen +2 more
2026
CORAL-AUV: CFD Oriented Reinforcement Learning for Autonomous Underwater Vehicles
Steven Roche, Milo Van Mooy, Nathan McGuire +3 more
2026
Shortcut Trajectory Planning for Efficient Offline Reinforcement Learning
Guanquan Wang, Yoshimasa Tsuruoka
2026
An Improved Deep Reinforcement Learning Control Strategy for Traction Dual Rectifiers in EMUs
Zhigang Liu, Mingwei Tang, Xiangyu Meng +4 more
2026
Implicit-Behavior Coordination from Unlabeled Sub-Task Demonstrations for Rearrangement Tasks
Ahmed Shokry, Usama Ahmed Siddiquie, Sicong Pan +1 more
2026
Data-driven predictive control of nonlinear systems using weighted regularization
Fritz A. Engeln, Sebastian Zieglmeier, Marta Zagórowska +1 more
2026
Causally Debiased Latent Action Model for Embodied Action Conditioned World Models
Yufan Wei, Kun Zhou, Lingjun Mao +9 more
2026
Residual Physics-Informed Neural Networks for High-Fidelity BLDC Motor Modeling
Haitham El-Hussieny
2026
Cerebellum-inspired memtransistors enable emergent differentiation for hardware-efficient novelty detection.
Kang MA, Brown ST, Jayasinghe N +11 more
Nature communications · 2026
Adaptive MPPI with Online Disturbance Covariance Estimation: Provable Stability Tightening via Spatial Smoothing
Hyung-Jin Yoon, Hunmin Kim
2026
SafeExplorer: An Unbiased Policy Gradient for Reinforcement Learning with Recovery Interventions
Elham Daneshmand, Majid Khadiv, Glen Berseth +1 more
2026
Learning-enabled Parameter Synthesis for Nonlinear Systems from Signal Temporal Logic
Alex Beaudin, Hanna Krasowski, Eric Palanques-Tost +2 more
2026
FlowDAgger: Human-in-the-Loop Adaptation of Generative Robot Policies in Latent Space
Michael Murray, Daphne Chen, Simran Bagaria +7 more
2026
AgenticFocus: Object-Preserving Mixed Reality Synthesis from Human FPV Video for Dexterous Humanoid Learning
Iaroslav Kolomiets, Miguel Altamirano Cabrera, Artem Lykov +6 more
2026
Latent Memory Palace: Reasoning for Control as Autoregressive Variational Inference
Chuning Zhu, Eva Xu, Jose Barreiros +3 more
2026
Native Video-Action Pretraining for Generalizable Robot Control
Qihang Zhang, Lin Li, Luyao Zhang +17 more
2026
Write-Protected Discrete Bottlenecks for Language-Grounded World Models: A Structural Limitation and Sufficient Fix
Jiayi Fang
2026