Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Learning to Race in Minutes: Infoprop Dyna on the Mini Wheelbot
Devdutt Subhasish, Henrik Hose, Sebastian Trimpe
2026
Separation Assurance between Heterogeneous Fleets of Small Unmanned Aerial Systems via Multi-Agent Reinforcement Learning
Iman Sharifi, Hyeong Tae Kim, Maheed Hatem Ahmed +2 more
2026
Deployment-Efficient Short-Term Load Forecasting in AI Data Centers via Sequence-to-Point Knowledge Distillation
Lei Wang, Jiahao Chen, Fanping Sui +2 more
2026
Policy-Driven DRL-Based TXOP Adaptation in NR-U and Wi-Fi Coexistence
Po-Heng Chou, Yi-Fang Yu, Shou-Yu Chen +1 more
2026
Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling
Sen Cui, Jingheng Ma
2026
Real-Time Neural Distributed Energy Resources Dispatch with Feasibility Guarantees
Jie Zhu, Yinliang Xu, Hongbin Sun
2026
GSDrive: Reinforcing Driving Policies by Multi-mode Future Trajectory Probing with 3D Gaussian Splatting Environment
Ziang Guo, Chen Min, Xuefeng Zhang +5 more
2026
Intelligent Self-tuning Active EMI Filtering for Electrified Automotive Power Systems Using Reinforcement Learning
Mahuizi Lu, Kelin Jia, Rajib Goswami +1 more
2026
World Model for Robot Learning: A Comprehensive Survey
Bohan Hou, Gen Li, Jindou Jia +15 more
2026
Data-Driven Continuous-Time Linear Quadratic Regulator via Closed-Loop and Reinforcement Learning Parameterizations
Armin Gießler, Felix Thömmes, Sören Hohmann
2026
MotuBrain: An Advanced World Action Model for Robot Control
MotuBrain Team, Chendong Xiang, Fan Bao +17 more
2026
Can Tabular Foundation Models Guide Exploration in Robot Policy Learning?
Buqing Ou, Frederike Dümbgen
2026
Stability Analysis and Data-Driven State Estimation for Generalized Persidskii Systems with Time Delays: Theory and Experimental Validation on PMSM Drives
Syed Pouladi
2026
Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach
Sivaram Krishnan, Bassel Al Homssi, Zhouyou Gu +3 more
2026
RAY-TOLD: Ray-Based Latent Dynamics for Dense Dynamic Obstacle Avoidance with TDMPC
Seungho Han, Seokju Lee, Jeonguk Kang
2026
Dynamic-TD3: A Novel Algorithm for UAV Path Planning with Dynamic Obstacle Trajectory Prediction
Wentao Chen, Jingtang Chen, Mingjian Fu +4 more
2026
Regime-Adaptive Weighted Ensemble Learning for Computing-Driven Dynamic Load Forecasting in AI Data Centers
Ziying Wang, Ying Zhang, Lei Wang +1 more
2026
PALCAS: A Priority-Aware Intelligent Lane Change Advisory System for Autonomous Vehicles using Federated Reinforcement Learning
Yassine Ibork, Nhat Ha Nguyen, Myounggyu Won +1 more
2026
Uncertainty-Aware Predictive Safety Filters for Probabilistic Neural Network Dynamics
Bernd Frauenknecht, Lukas Kesper, Daniel Mayfrank +2 more
2026
Rule-based High-Level Coaching for Goal-Conditioned Reinforcement Learning in Search-and-Rescue UAV Missions Under Limited-Simulation Training
Mahya Ramezani, Holger Voos
2026
LLM-Flax : Generalizable Robotic Task Planning via Neuro-Symbolic Approaches with Large Language Models
Seongmin Kim, Daegyu Lee
2026
Learning to Route Electric Trucks Under Operational Uncertainty
Stavros Orfanoudakis, Ziyan Li, Ruixiao Yang +4 more
2026
3D Generation for Embodied AI and Robotic Simulation: A Survey
Tianwei Ye, Yifan Mao, Minwen Liao +6 more
2026
Co-Learning Port-Hamiltonian Systems and Optimal Energy-Shaping Control
Ankur Kamboj, Biswadip Dey, Vaibhav Srivastava
2026