Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕An Introduction to Deep Reinforcement and Imitation Learning
Pedro Santana
2025
Augmented Neural Ordinary Differential Equations for Power System Identification
Hannes M. H. Wolf, Christian A. Hans
2025
Delay-Aware Diffusion Policy: Bridging the Observation-Execution Gap in Dynamic Tasks
Aileen Liao, Dong-Ki Kim, Max Olan Smith +2 more
2025
Scalable Formal Verification of Incremental Stability in Large-Scale Systems Using Graph Neural Networks
Ahan Basu, Mahathi Anand, Pushpak Jagtap
2025
Meta Hierarchical Reinforcement Learning for Scalable Resource Management in O-RAN
Fatemeh Lotfi, Fatemeh Afghah
2025
Random Access for LEO Satellite Communication Systems via Deep Learning
Hyunwoo Lee, Ian P. Roberts, Jinkyo Jeong +1 more
2025
LLM-Driven Composite Neural Architecture Search for Multi-Source RL State Encoding
Yu Yu, Qian Xie, Nairen Cao +1 more
2025
Feasibility-aware Learning of Robust Temporal Logic Controllers using BarrierNet
Wenliang Liu, Shuo Liu, Wei Xiao +1 more
2025
Khalasi: Energy-Efficient Navigation for Surface Vehicles in Vortical Flow Fields
Rushiraj Gadhvi, Sandeep Manjanna
2025
A Physics-Aware Attention LSTM Autoencoder for Early Fault Diagnosis of Battery Systems
Jiong Yang
2025
A Novel Deep Neural Network Architecture for Real-Time Water Demand Forecasting
Tony Salloom, Okyay Kaynak, Wei He
2025
Statistic-Augmented, Decoupled MoE Routing and Aggregating in Autonomous Driving
Wei-Bin Kou, Guangxu Zhu, Jingreng Lei +3 more
2025
From Forecast to Action: A Deep Learning Model for Predicting Power Outages During Tropical Cyclones
Yongchuan Yang, Naiyu Wang, Zhenguo Wang +2 more
2025
A New Trajectory-Oriented Approach to Enhancing Comprehensive Crowd Navigation Performance
Xinyu Zhou, Songhao Piao, Chao Gao +1 more
2025
Error-Centric PID Untrained Neural-Net (EC-PIDUNN) For Nonlinear Robotics Control
Waleed Razzaq
2025
Deep Neural Network-Based Aerial Transport in the Presence of Cooperative and Uncooperative UAS
Muhammad Junayed Hasan Zahed, Hossein Rastgoftar
2025
WAM-Diff: A Masked Diffusion VLA Framework with MoE and Online Reinforcement Learning for Autonomous Driving
Mingwang Xu, Jiahao Cui, Feipeng Cai +8 more
2025
Proportional integral derivative booster for neural networks-based time-series prediction: Case of water demand prediction
Tony Salloom, Okyay Kaynak, Xinbo Yub +1 more
2025
A Hybrid Physics-Based and Reinforcement Learning Framework for Electric Vehicle Charging Time Prediction
Praharshitha Aryasomayajula, Ting Bai, Andreas A. Malikopoulos
2025
Learning Without Time-Based Embodiment Resets in Soft-Actor Critic
Homayoon Farrahi, A. Rupam Mahmood
2025
Deep Reinforcement Learning Optimization for Uncertain Nonlinear Systems via Event-Triggered Robust Adaptive Dynamic Programming
Ningwei Bai, Chi Pui Chan, Qichen Yin +3 more
2025
Sparse Neural Approximations for Bilevel Adversarial Problems in Power Grids
Young-ho Cho, Harsha Nagarajan, Deepjyoti Deka +1 more
2025
Situation-Aware Interactive MPC Switching for Autonomous Driving
Shuhao Qi, Qiling Aori, Luyao Zhang +2 more
2025
World Models That Know When They Don't Know - Controllable Video Generation with Calibrated Uncertainty
Zhiting Mei, Tenny Yin, Micah Baker +2 more
2025