Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Generating and Customizing Robotic Arm Trajectories using Neural Networks
Andrej Lúčny, Matilde Antonj, Carlo Mazzola +2 more
2025
Autonomous Cyber Resilience via a Co-Evolutionary Arms Race within a Fortified Digital Twin Sandbox
Malikussaid, Sutiyo
2025
Decision-Focused Learning for Neural Network-Constrained HVAC Scheduling
Pietro Favaro, Jean-François Toubeau, François Vallée +1 more
2025
Partially Observable Residual Reinforcement Learning for PV-Inverter-Based Voltage Control in Distribution Grids
Sarra Bouchkati, Ramil Sabirov, Steffen Kortmann +1 more
2025
FlightKooba: A Fast Interpretable FTP Model
Jing Lu, Xuan Wu, Yizhun Tian +2 more
2025
Simulation of a closed-loop dc-dc converter using a physics-informed neural network-based model
Marc-Antoine Coulombe, Maxime Berger, Antoine Lesage-Landry
2025
AgenticControl: An Automated Control Design Framework Using Large Language Models
Mohammad Narimani, Seyyed Ali Emami
2025
Optimal Design of Experiment for Electrochemical Parameter Identification of Li-ion Battery via Deep Reinforcement Learning
Mehmet Fatih Ozkan, Samuel Filgueira da Silva, Faissal El Idrissi +2 more
2025
Model Reference Adaptive Control of Networked Systems with State and Input Delays
Moh Kamalul Wafi, Katherin Indriawati, Bambang L. Widjiantoro
2025
CUPID: Curating Data your Robot Loves with Influence Functions
Christopher Agia, Rohan Sinha, Jingyun Yang +5 more
2025
Online Learning for Dynamic Vickrey-Clarke-Groves Mechanism in Unknown Environments
Vincent Leon, S. Rasoul Etesami
2025
Frequency Control in Microgrids: An Adaptive Fuzzy-Neural-Network Virtual Synchronous Generator
Waleed Breesam, Rezvan Alamian, Nima Tashakor +2 more
2025
Aperiodic-sampled neural network controllers with closed-loop stability verifications (extended version)
Renjie Ma, Zhijian Hu, Rongni Yang +1 more
2025
Physics-Informed Neural Networks for Nonlocal Flow Modeling of Connected Automated Vehicles
Chenguang Zhao, Huan Yu
2025
Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification
Minh Trinh, Andreas René Geist, Josefine Monnet +3 more
2025
Safety Certificate against Latent Variables with Partially Unidentifiable Dynamics
Haoming Jing, Yorie Nakahira
2025
Leveling the Playing Field: Carefully Comparing Classical and Learned Controllers for Quadrotor Trajectory Tracking
Pratik Kunapuli, Jake Welde, Dinesh Jayaraman +1 more
2025
Learning to Dock: A Simulation-based Study on Closing the Sim2Real Gap in Autonomous Underwater Docking
Kevin Chang, Rakesh Vivekanandan, Noah Pragin +2 more
2025
Quantification of Sim2Real Gap via Neural Simulation Gap Function
P Sangeerth, Pushpak Jagtap
2025
RL-based Adaptive Task Offloading in Mobile-Edge Computing for Future IoT Networks
Ziad Qais Al Abbasi, Khaled M. Rabie, Senior Member +4 more
2025
BIDA: A Bi-level Interaction Decision-making Algorithm for Autonomous Vehicles in Dynamic Traffic Scenarios
Liyang Yu, Tianyi Wang, Junfeng Jiao +3 more
2025
Reliable Transmission of LTP Using Reinforcement Learning-Based Adaptive FEC
Liang Chen, Yu Song, Kanglian Zhao +2 more
2025
Multi-Task Lifelong Reinforcement Learning for Wireless Sensor Networks
Hossein Mohammadi Firouzjaei, Rafaela Scaciota, Sumudu Samarakoon
2025
Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations
William Sharpless, Dylan Hirsch, Sander Tonkens +2 more
2025