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 ✕XEmbodied: A Foundation Model with Enhanced Geometric and Physical Cues for Large-Scale Embodied Environments
Kangan Qian, ChuChu Xie, Yang Zhong +13 more
2026
Does "Do Differentiable Simulators Give Better Policy Gradients?'' Give Better Policy Gradients?
Ku Onoda, Paavo Parmas, Manato Yaguchi +1 more
2026
Frugal Geofencing via Energy-aware Sensing and Reporting
David E. Ruiz-Guirola, Miltiadis Filippou, Onel A. Lopez
2026
Fisher Decorator: Refining Flow Policy via a Local Transport Map
Xiaoyuan Cheng, Haoyu Wang, Wenxuan Yuan +4 more
2026
Deep Learning for Multi-Antenna Modulation Recognition of Radio Signals
Tao Chen, Shilian Zheng, Jiepeng Chen +3 more
2026
Re$^2$MoGen: Open-Vocabulary Motion Generation via LLM Reasoning and Physics-Aware Refinement
Jiakun Zheng, Ting Xiao, Shiqin Cao +3 more
2026
Input-Side Variance Suppression under Non-Normal Transient Amplification in Continuous-Control Reinforcement Learning
Wu Yue
2026
Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces
Noha Hassan, Xavier Fernando, Halim Yanikomeroglu
2026
Think before Go: Hierarchical Reasoning for Image-goal Navigation
Pengna Li, Kangyi Wu, Shaoqing Xu +5 more
2026
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