Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
Vindula Jayawardana, Sirui Li, Yashar Farid +1 more
2025
Joint Scheduling of Deferrable and Nondeferrable Demand with Colocated Stochastic Supply
Minjae Jeon, Lang Tong, Qing Zhao
2025
Symptom-Driven Personalized Proton Pump Inhibitors Therapy Using Bayesian Neural Networks and Model Predictive Control
Yutong Li, Ilya Kolmanovsky
2025
On the Importance of Neural Membrane Potential Leakage for LIDAR-based Robot Obstacle Avoidance using Spiking Neural Networks
Zainab Ali, Lujayn Al-Amir, Ali Safa
2025
Neural Two-Stage Stochastic Optimization for Solving Unit Commitment Problem
Zhentong Shao, Jingtao Qin, Nanpeng Yu
2025
GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective
Hang Wang, Junshan Zhang
2025
A Fairness-Oriented Multi-Objective Reinforcement Learning approach for Autonomous Intersection Management
Matteo Cederle, Marco Fabris, Gian Antonio Susto
2025
Action Chunking and Exploratory Data Collection Yield Exponential Improvements in Behavior Cloning for Continuous Control
Thomas T. Zhang, Daniel Pfrommer, Chaoyi Pan +2 more
2025
SPLASH! Sample-efficient Preference-based inverse reinforcement learning for Long-horizon Adversarial tasks from Suboptimal Hierarchical demonstrations
Peter Crowley, Zachary Serlin, Tyler Paine +3 more
2025
Review of Feed-forward 3D Reconstruction: From DUSt3R to VGGT
Wei Zhang, Yihang Wu, Songhua Li +4 more
2025
Neural Parameter-varying Data-enabled Predictive Control of Cold Atmospheric Pressure Plasma Jets
Pegah GhafGhanbari, Mircea Lazar, Javad Mohammadpour Velni
2025
Deep Reinforcement Learning in Applied Control: Challenges, Analysis, and Insights
Klinsmann Agyei, Pouria Sarhadi, Daniel Polani
2025
BEAVER: Building Environments with Assessable Variation for Evaluating Multi-Objective Reinforcement Learning
Ruohong Liu, Jack Umenberger, Yize Chen
2025
Zero-Shot Context Generalization in Reinforcement Learning from Few Training Contexts
James Chapman, Kedar Karhadkar, Guido Montufar
2025
Multilayer GNN for Predictive Maintenance and Clustering in Power Grids
Muhammad Kazim, Harun Pirim, Chau Le +2 more
2025
Heterogeneous Graph Neural Networks for Short-term State Forecasting in Power Systems across Domains and Time Scales: A Hydroelectric Power Plant Case Study
Raffael Theiler, Olga Fink
2025
Airway Segmentation Network for Enhanced Tubular Feature Extraction
Qibiao Wu, Yagang Wang, Qian Zhang
2025
Deep-Learning-Based Pre-Layout Parasitic Capacitance Prediction on SRAM Designs
Shan Shen, Dingcheng Yang, Yuyang Xie +3 more
2025
Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction
Shan Shen, Yibin Zhang, Hector Rodriguez Rodriguez +1 more
2025
Failure Forecasting Boosts Robustness of Sim2Real Rhythmic Insertion Policies
Yuhan Liu, Xinyu Zhang, Haonan Chang +1 more
2025
Experience-Centric Resource Management in ISAC Networks: A Digital Agent-Assisted Approach
Xinyu Huang, Yixiao Zhang, Yingying Pei +2 more
2025
An AI-Driven Thermal-Fluid Testbed for Advanced Small Modular Reactors: Integration of Digital Twin and Large Language Models
Doyeong Lim, Yang Liu, Zavier Ndum Ndum +2 more
2025
Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease
Harsh Ravivarapu, Gaurav Bagwe, Xiaoyong Yuan +2 more
2025
Robust Bandwidth Estimation for Real-Time Communication with Offline Reinforcement Learning
Jian Kai, Tianwei Zhang, Zihan Ling +2 more
2025