Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕MaskPlanner: Learning-Based Object-Centric Motion Generation from 3D Point Clouds
Gabriele Tiboni, Raffaello Camoriano, Tatiana Tommasi
2025
Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces
Amirhossein Roknilamouki, Arnob Ghosh, Ming Shi +3 more
2025
Toward 6-DOF Autonomous Underwater Vehicle Energy-Aware Position Control based on Deep Reinforcement Learning: Preliminary Results
Gustavo Boré, Vicente Sufán, Sebastián Rodríguez-Martínez +1 more
2025
Distributed Coordination for Heterogeneous Non-Terrestrial Networks
Jikang Deng, Hui Zhou, Mohamed-Slim Alouini
2025
Leveraging Large Language Models for Effective and Explainable Multi-Agent Credit Assignment
Kartik Nagpal, Dayi Dong, Jean-Baptiste Bouvier +1 more
2025
Data-Driven Discrepancy Modeling in Higher-Dimensional State Space via Coprime Factorization
Sourav Sinha, Mazen Farhood
2025
MetaSym: A Symplectic Meta-learning Framework for Physical Intelligence
Pranav Vaidhyanathan, Aristotelis Papatheodorou, Mark T. Mitchison +2 more
2025
Color Information-Based Automated Mask Generation for Detecting Underwater Atypical Glare Areas
Mingyu Jeon, Yeonji Paeng, Sejin Lee
2025
Gaussian Process Regression for Improved Underwater Navigation
Nadav Cohen, Itzik Klein
2025
Facilitating Emergency Vehicle Passage in Congested Urban Areas Using Multi-agent Deep Reinforcement Learning
Haoran Su
2025
A Review of Artificial Intelligence Impacting Statistical Process Monitoring and Future Directions
Shing I Chang, Parviz Ghafariasl
2025
Ensemble RL through Classifier Models: Enhancing Risk-Return Trade-offs in Trading Strategies
Zheli Xiong
2025
Physics-Informed Gradient Estimation for Accelerating Deep Learning based AC-OPF
Kejun Chen, Shourya Bose, Yu Zhang
2025
An Autonomous Network Orchestration Framework Integrating Large Language Models with Continual Reinforcement Learning
Masoud Shokrnezhad, Tarik Taleb
2025
Parameter Estimation of the Network of FitzHugh-Nagumo Neurons Based on the Speed-Gradient and Filtering
Aleksandra Rybalko, Alexander Fradkov
2025
On the Design of Safe Continual RL Methods for Control of Nonlinear Systems
Austin Coursey, Marcos Quinones-Grueiro, Gautam Biswas
2025
BOSS: Benchmark for Observation Space Shift in Long-Horizon Task
Yue Yang, Linfeng Zhao, Mingyu Ding +2 more
2025
Automating Curriculum Learning for Reinforcement Learning using a Skill-Based Bayesian Network
Vincent Hsiao, Mark Roberts, Laura M. Hiatt +2 more
2025
A Deep Neural Network-based Frequency Predictor for Frequency-Constrained Optimal Power Flow
Fan Jiang, Xingpeng Li, Pascal Van Hentenryck
2025
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning
Giuseppe Paolo, Abdelhakim Benechehab, Hamza Cherkaoui +2 more
2025
DDAT: Diffusion Policies Enforcing Dynamically Admissible Robot Trajectories
Jean-Baptiste Bouvier, Kanghyun Ryu, Kartik Nagpal +3 more
2025
Reinforcement Learning with Graph Attention for Routing and Wavelength Assignment with Lightpath Reuse
Michael Doherty, Alejandra Beghelli
2025
Real-Time Sampling-based Online Planning for Drone Interception
Gilhyun Ryou, Lukas Lao Beyer, Sertac Karaman
2025
A Supervised Machine-Learning Approach For Turboshaft Engine Dynamic Modeling Under Real Flight Conditions
Damiano Paniccia, Francesco Aldo Tucci, Joel Guerrero +4 more
2025