Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,798)
Clear ✕Learning Linear Temporal Specifications from Demonstrations with Uncertainty
Parastou Fahim, Constantino Lagoa, Rômulo Meira-G'oes
2026
Streaming Contraction Certificates for Nonlinear Networks: Topology-Aware Data Sufficiency with Partial Observation
Faegheh K. Moazeni
2026
Is Energy Guidance All You Need? Training-Free Norm Injection for Driving World Models
Xiyan Su, Frank Diermeyer, Markus Lienkamp
2026
Artificial Foveated Perception for Mitigating Shortcut Learning in Robotic Foundation Models
Xiatao Sun, Yuan Zhuang, Mateo Sanchez Lopez Negrete +9 more
2026
Dual-Process Atomic Skill Learning: Decoupling Semantic Reasoning and Real-Time Control
Jun Chen, Erdent Bao, Wenlong Dong +7 more
2026
BucketKD: A Safety-Aware Bucket-Based Knowledge Distillation Framework for End-to-End Motion Planning
Md Nahidul Islam, Mohd Hasan Ali, Dipankar Dasgupta +1 more
2026
Fast Data-Driven Modeling of Hydraulic Clutch Control Pressure with Latch-State Classification and Gaussian Process Regression
Yash Bagla, Jason Schneider
2026
Large Language Model Enhanced Differentiable Trajectory Planning for IoT-Enabled Autonomous Driving
Shihao Zhang, Jing Yang, Ziyu Song +7 more
2026
VINE: Taming Generative Control Policies for Reinforcement Learning
Rushuai Yang, Zhuo Han, Houlin Li +10 more
2026
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
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