Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕Thermodynamic Liquid Manifold Networks: Physics-Bounded Deep Learning for Solar Forecasting in Autonomous Off-Grid Microgrids
Mohammed Ezzaldin Babiker Abdullah
2026
Physics-Informed State Space Models for Reliable Solar Irradiance Forecasting in Off-Grid Systems
Mohammed Ezzaldin Babiker Abdullah
2026
Solving Physics Olympiad via Reinforcement Learning on Physics Simulators
Mihir Prabhudesai, Aryan Satpathy, Yangmin Li +6 more
2026
SCORP: Scene-Consistent Multi-agent Diffusion Planning with Stable Online Reinforcement Post-Training for Cooperative Driving
Haojie Bai, Aimin Li, Ruoyu Yao +5 more
2026
Human Centered Non Intrusive Driver State Modeling Using Personalized Physiological Signals in Real World Automated Driving
David Puertas-Ramirez, Raul Fernandez-Matellan, David Martin Gomez +1 more
2026
Deep Learning for Sequential Decision Making under Uncertainty: Foundations, Frameworks, and Frontiers
I. Esra Buyuktahtakin
2026
To Learn or Not to Learn: A Litmus Test for Using Reinforcement Learning in Control
Victor Schulte, Michael Eichelbeck, Matthias Althoff
2026
Hierarchical RL-MPC Control for Dynamic Wake Steering in Wind Farms
Marcus Binder Nilsen, Teodor Olof Benedict Åstrand, Tuhfe Göçmen +1 more
2026
Load constrained wind farm flow control through multi-objective multi-agent reinforcement learning
Teodor Åstrand, Marcus Binder Nilsen, Iasonas Tsaklis +3 more
2026
Accelerating Reinforcement Learning for Wind Farm Control via Expert Demonstrations
Marcus Binder Nilsen, Julian Quick, Tuhfe Göçmen +2 more
2026
CLAW: Composable Language-Annotated Whole-body Motion Generation
Jianuo Cao, Yuxin Chen, Masayoshi Tomizuka
2026
On Switched Event-triggered Full State-constrained Formation Control for Multi-vehicle Systems
Zihan Li, Ziming Wang, Xin Wang
2026
Robust Adversarial Policy Optimization Under Dynamics Uncertainty
Mintae Kim, Koushil Sreenath
2026
Diffusion Reinforcement Learning Based Online 3D Bin Packing Spatial Strategy Optimization
Jie Han, Tong Li, Qingyang Xu +3 more
2026
Tensor-based Multi-layer Decoupling
Joppe De Jonghe, Konstantin Usevich, Philippe Dreesen +1 more
2026
LIDARLearn: A Unified Deep Learning Library for 3D Point Cloud Classification, Segmentation, and Self-Supervised Representation Learning
Said Ohamouddou, Hanaa El Afia, Abdellatif El Afia +1 more
2026
On the Optimization Landscape of Observer-based Dynamic Linear Quadratic Control
Jingliang Duan, Jie Li, Yinsong Ma +5 more
2026
AWARE: Adaptive Whole-body Active Rotating Control for Enhanced LiDAR-Inertial Odometry under Human-in-the-Loop Interaction
Yizhe Zhang, Jianping Li, Liangliang Yin +2 more
2026
Simple but Stable, Fast and Safe: Achieve End-to-end Control by High-Fidelity Differentiable Simulation
Fanxing Li, Shengyang Wang, Yuxiang Huang +5 more
2026
Quantum Graph Neural Networks for Double-Sided Reconfigurable Intelligent Surface Optimization
Noha Hassan, Xavier Fernando, Halim Yanikomeroglu
2026
A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense
Jihyeon Yun, Abdullah Yasin Etcibasi, Ming Shi +1 more
2026
A Dual-Positive Monotone Parameterization for Multi-Segment Bids and a Validity Assessment Framework for Reinforcement Learning Agent-based Simulation of Electricity Markets
Zunnan Xu, Zhaoxia Jing, Zhanhua Pan
2026
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
Keivan Faghih Niresi, Christian Møller Jensen, Carsten Skovmose Kallesøe +2 more
2026
Control of Cellular Automata by Moving Agents with Reinforcement Learning
Franco Bagnoli, Bassem Sellami, Amira Mouakher +1 more
2026