Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Web-Gewu: A Browser-Based Interactive Playground for Robot Reinforcement Learning
Kaixuan Chen, Linqi Ye
2026
Learning a Non-linear Surrogate Model for Multistage Stochastic Transmission Planning
Victor Schmitt, Farzaneh Pourahmadi, Angela Flores-Quiroz +2 more
2026
Net Load Forecasting Using Machine Learning with Growing Renewable Power Capacity Features: A Comparative Study of Direct and Indirect Methods
Oluwafolajimi Samuel Bolusteve, Linhan Fang, Xingpeng Li
2026
NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem
Daniel Fuertes, Andrea Cavallaro, Carlos R. del-Blanco +2 more
2026
Multi-stage Planning for Multi-target Surveillance using Aircrafts Equipped with Synthetic Aperture Radars Aware of Target Visibility
Daniel Fuertes, Carlos R. del-Blanco, Fernando Jaureguizar +2 more
2026
LAGS: Low-Altitude Gaussian Splatting with Groupwise Heterogeneous Graph Learning
Yikun Wang, Yujie Wan, Wei Zuo +4 more
2026
Online Reinforcement Learning for Safe Gain Scheduling in Nonlinear Quadrotor Control
Muhammad Junayed Hasan Zahed, Chieh Tsai, Salim Hariri +1 more
2026
A Stackelberg Game Framework with Drainability Guardrails for Pricing and Scaling in Multi-Tenant GPU Cloud Platforms
Junji Yan, Asrin Efe Yorulmaz, Hanchen Zhou +1 more
2026
Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning
Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar +2 more
2026
Safe Deep Reinforcement Learning for Building Heating Control and Demand-side Flexibility
Colin Jüni, Mina Montazeri, Yi Guo +3 more
2026
Fuzzy Logic Theory-based Adaptive Reward Shaping for Robust Reinforcement Learning (FARS)
Hürkan Şahin, Van Huyen Dang, Erdi Sayar +2 more
2026
Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks
Hyeongmeen Baik, Hamed Poursiami, Maryam Parsa +1 more
2026
Abstract Sim2Real through Approximate Information States
Yunfu Deng, Yuhao Li, Josiah P. Hanna
2026
A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning
Anand Gokhale, Anton V. Proskurnikov, Yu Kawano +1 more
2026
NEAT-NC: NEAT guided Navigation Cells for Robot Path Planning
Hibatallah Meliani, Khadija Slimani, Samira Khoulji
2026
On-Line Policy Iteration with Trajectory-Driven Policy Generation
Yuchao Li, Fei Chen, Yingke Li +2 more
2026
Momentum-constrained Hybrid Heuristic Trajectory Optimization Framework with Residual-enhanced DRL for Visually Impaired Scenarios
Yuting Zeng, Zhiwen Zheng, Jingya Wang +6 more
2026
xFODE+: Explainable Type-2 Fuzzy Additive ODEs for Uncertainty Quantification
Ertugrul Kececi, Tufan Kumbasar
2026
SOLIS: Physics-Informed Learning of Interpretable Neural Surrogates for Nonlinear Systems
Murat Furkan Mansur, Tufan Kumbasar
2026
Towards Trustworthy 6G Network Digital Twins: A Framework for Validating Counterfactual What-If Analysis in Edge Computing Resources
Julian Jimenez Agudelo, Paola Soto, Ayat Zaki-Hindi +5 more
2026
Energy-based Regularization for Learning Residual Dynamics in Neural MPC for Omnidirectional Aerial Robots
Johannes Kübel, Henrik Krauss, Jinjie Li +1 more
2026
Physics-Informed Machine Learning for Pouch Cell Temperature Estimation
Zheng Liu
2026
Positive-Only Drifting Policy Optimization
Qi Zhang
2026
NaP-Control: Navigating Diffusion Prior for Versatile and Fast Character Control
Chia-Wen Chen, Yan Wu, Korrawe Karunratanakul +1 more
2026