Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,814)
Clear ✕Model Predictive Path Integral PID Control for Learning-Based Path Following
Teruki Kato, Koshi Oishi, Seigo Ito
2026
Scaling Whole-Body Human Musculoskeletal Behavior Emulation for Specificity and Diversity
Yunyue Wei, Chenhui Zuo, Shanning Zhuang +3 more
2026
Real-Time Surrogate Modeling for Fast Transient Prediction in Inverter-Based Microgrids Using CNN and LightGBM
Osasumwen Cedric Ogiesoba-Eguakun, Kaveh Ashenayi, Suman Rath
2026
Efficient Camera Pose Augmentation for View Generalization in Robotic Policy Learning
Sen Wang, Huaiyi Dong, Jingyi Tian +7 more
2026
A Pontryagin Method of Model-based Reinforcement Learning via Hamiltonian Actor-Critic
Chengyang Gu, Yuxin Pan, Hui Xiong +1 more
2026
Optimistic Online LQR via Intrinsic Rewards
Marcell Bartos, Bruce D. Lee, Lenart Treven +3 more
2026
Robust Multi-Agent Reinforcement Learning for Small UAS Separation Assurance under GPS Degradation and Spoofing
Alex Zongo, Filippos Fotiadis, Ufuk Topcu +1 more
2026
Dynamic Lookahead Distance via Reinforcement Learning-Based Pure Pursuit for Autonomous Racing
Mohamed Elgouhary, Amr S. El-Wakeel
2026
Intelligent Radio Resource Slicing for 6G In-Body Subnetworks
Samira Abdelrahman, Hossam Farag
2026
Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids
Carlos S. Sepúlveda, Gonzalo A. Ruz
2026
Competitor-aware Race Management for Electric Endurance Racing
Wytze de Vries, Erik van den Eshof, Jorn van Kampen +1 more
2026
A Deep Reinforcement Learning Framework for Closed-loop Guidance of Fish Schools via Virtual Agents
Takato Shibayama, Hiroaki Kawashima
2026
Learning Certified Neural Network Controllers Using Contraction and Interval Analysis
Akash Harapanahalli, Samuel Coogan, Alexander Davydov
2026
Physics-informed line-of-sight learning for scalable deterministic channel modeling
Xiucheng Wang, Junxi Huang, Conghao Zhou +2 more
2026
Flip Stunts on Bicycle Robots using Iterative Motion Imitation
Jeonghwan Kim, Shamel Fahmi, Seungeun Rho +2 more
2026
Wan-R1: Verifiable-Reinforcement Learning for Video Reasoning
Ming Liu, Yunbei Zhang, Shilong Liu +2 more
2026
SkyNet: Belief-Aware Planning for Partially-Observable Stochastic Games
Adam Haile
2026
Fundamental Limits of Man-in-the-Middle Attack Detection in Model-Free Reinforcement Learning
Rishi Rani, Massimo Franceschetti
2026
Driving Condition-Aware Multi-Agent Integrated Power and Thermal Management for Hybrid Electric Vehicles
Hanghang Cui, Arash Khalatbarisoltani, Jie Han +3 more
2026
Rainbow-DemoRL: Combining Improvements in Demonstration-Augmented Reinforcement Learning
Dwait Bhatt, Shih-Chieh Chou, Nikolay Atanasov
2026
Online Inertia Tensor Identification for Non-Cooperative Spacecraft via Augmented UKF
Batu Candan, Simone Servadio
2026
Where-to-Learn: Analytical Policy Gradient Directed Exploration for On-Policy Robotic Reinforcement Learning
Leixin Chang, Xinchen Yao, Ben Liu +2 more
2026
HiFlow: Tokenization-Free Scale-Wise Autoregressive Policy Learning via Flow Matching
Daichi Yashima, Koki Seno, Shuhei Kurita +2 more
2026
Liquid Networks with Mixture Density Heads for Efficient Imitation Learning
Nikolaus Correll
2026