Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,814)
Clear ✕Analytic Bridge Diffusions for Controlled Path Generation
Michael Chertkov
2026
A Universal Optimal Control Strategy for a Tailsitter UAV
Animesh Kumar Shastry, Mangal Kothari
2026
An Efficient Metric for Data Quality Measurement in Imitation Learning
Noushad Sojib, Momotaz Begum
2026
Good in Bad (GiB): Sifting Through End-user Demonstrations for Learning a Better Policy
Noushad Sojib, Ola Ghattas, Momotaz Begum
2026
Dynamics Distillation for Efficient and Transferable Control Learning
Xunjiang Gu, Kashyap Chitta, Mahsa Golchoubian +2 more
2026
Coordination Architecture Shapes Continuous Demand Response Outcomes in Building Districts
Ava Mohammadi, Rick Kramer, Zoltan Nagy
2026
Bi-Level Reinforcement Learning Control for an Underactuated Blimp via Center-of-Mass Reconfiguration
Xiaorui Wang, Hongwu Wang, Yue Fan +2 more
2026
TT4D: A Pipeline and Dataset for Table Tennis 4D Reconstruction From Monocular Videos
Nima Rahmanian, Daniel Kienzle, Thomas Gossard +3 more
2026
To Do or Not to Do: Ensuring the Safety of Visuomotor Policies Learned from Demonstrations
Riad Ahmed, Moniruzzaman Akash, Momotaz Begum
2026
Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
Devdutt Subhasish, Henrik Hose, Sebastian Trimpe
2026
Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning
Iman Sharifi, Hyeong Tae Kim, Maheed Hatem Ahmed +2 more
2026
Deployment-Efficient Short-Term Load Forecasting in AI Data Centers via Sequence-to-Point Knowledge Distillation
Lei Wang, Jiahao Chen, Fanping Sui +2 more
2026
Policy-Driven DRL-Based TXOP Adaptation in NR-U and Wi-Fi Coexistence
Po-Heng Chou, Yi-Fang Yu, Shou-Yu Chen +1 more
2026
Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling
Sen Cui, Jingheng Ma
2026
Real-Time Neural Distributed Energy Resources Dispatch with Feasibility Guarantees
Jie Zhu, Yinliang Xu, Hongbin Sun
2026
GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment
Ziang Guo, Chen Min, Xuefeng Zhang +5 more
2026
Intelligent Self-tuning Active EMI Filtering for Electrified Automotive Power Systems Using Reinforcement Learning
Mahuizi Lu, Kelin Jia, Rajib Goswami +1 more
2026
World Model for Robot Learning: A Comprehensive Survey
Bohan Hou, Gen Li, Jindou Jia +15 more
2026
Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations
Armin Gießler, Felix Thömmes, Sören Hohmann
2026
MotuBrain: An Advanced World Action Model for Robot Control
MotuBrain Team, Chendong Xiang, Fan Bao +17 more
2026
Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?
Buqing Ou, Frederike Dümbgen
2026
Stability Analysis and Data-Driven State Estimation for Generalized Persidskii Systems with Time Delays: Theory and Experimental Validation on PMSM Drives
Syed Pouladi
2026
Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach
Sivaram Krishnan, Bassel Al Homssi, Zhouyou Gu +3 more
2026
RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC
Seungho Han, Seokju Lee, Jeonguk Kang
2026