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 ✕Quantum Graph Neural Networks for Double-Sided Reconfigurable Intelligent Surface Optimization
Noha Hassan, Xavier Fernando, Halim Yanikomeroglu
2026
A Queueing-Theoretic Framework for Dynamic Attack Surfaces: Data-Integrated Risk Analysis and Adaptive Defense
Jihyeon Yun, Abdullah Yasin Etcibasi, Ming Shi +1 more
2026
A Dual-Positive Monotone Parameterization for Multi-Segment Bids and a Validity Assessment Framework for Reinforcement Learning Agent-based Simulation of Electricity Markets
Zunnan Xu, Zhaoxia Jing, Zhanhua Pan
2026
Virtual Smart Metering in District Heating Networks via Heterogeneous Spatial-Temporal Graph Neural Networks
Keivan Faghih Niresi, Christian Møller Jensen, Carsten Skovmose Kallesøe +2 more
2026
Control of Cellular Automata by Moving Agents with Reinforcement Learning
Franco Bagnoli, Bassem Sellami, Amira Mouakher +1 more
2026
Deep Reinforcement Learning for Cognitive Time-Division Joint SAR and Secure Communications
Mohamed-Amine Lahmeri, Ata Khalili, Yujiao Liu +2 more
2026
Physics-Informed Reinforcement Learning of Spatial Density Velocity Potentials for Map-Free Racing
Shathushan Sivashangaran, Apoorva Khairnar, Sepideh Gohari +2 more
2026
Sim-to-Real Transfer for Muscle-Actuated Robots via Generalized Actuator Networks
Jan Schneider, Mridul Mahajan, Le Chen +4 more
2026
On-Meter Graph Machine Learning: A Case Study of PV Power Forecasting for Grid Edge Intelligence
Jian Huang, Zixiang Ming, Yongli Zhu +1 more
2026
Mind the Gap Between Spatial Reasoning and Acting! Step-by-Step Evaluation of Agents With Spatial-Gym
Lars Benedikt Kaesberg, Tianyu Yang, Niklas Bauer +3 more
2026
Online Intention Prediction via Control-Informed Learning
Tianyu Zhou, Zihao Liang, Zehui Lu +1 more
2026
Efficient Uniform Feasible Set Sampling for Approximate Linear MPC
Elias Milios, Felix Berkel, Felix Gruber +2 more
2026
TriDeliver: Cooperative Air-Ground Instant Delivery with UAVs, Couriers, and Crowdsourced Ground Vehicles
Junhui Gao, Yan Pan, Qianru Wang +4 more
2026
C$^2$T: Captioning-Structure and LLM-Aligned Common-Sense Reward Learning for Traffic--Vehicle Coordination
Yuyang Chen, Kaiyan Zhao, Yiming Wang +3 more
2026
WOMBET: World Model-based Experience Transfer for Robust and Sample-efficient Reinforcement Learning
Mintae Kim, Koushil Sreenath
2026
HTNav: A Hybrid Navigation Framework with Tiered Structure for Urban Aerial Vision-and-Language Navigation
Chengjie Fan, Cong Pan, Zijian Liu +2 more
2026
Simulation of Adaptive Running with Flexible Sports Prosthesis using Reinforcement Learning of Hybrid-link System
Yuta Shimane, Ko Yamamoto
2026
Alleviating Community Fear in Disasters via Multi-Agent Actor-Critic Reinforcement Learning
Yashodhan D. Hakke, Almuatazbellah M. Boker, Lamine Mili +2 more
2026
An Asynchronous Delta Modulator for Spike Encoding in Event-Driven Brain-Machine Interface
Kaushik Lakshmiramanan, Vineeta Nair, Ching-Yi Lin +2 more
2026
Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation
Haruto Nagahisa, Kohei Matsumoto, Yuki Tomita +2 more
2026
On-Policy Distillation of Language Models for Autonomous Vehicle Motion Planning
Amirhossein Afsharrad, Amirhesam Abedsoltan, Ahmadreza Moradipari +1 more
2026
Learning over Forward-Invariant Policy Classes: Reinforcement Learning without Safety Concerns
Chieh Tsai, Muhammad Junayed Hasan Zahed, Salim Hariri +1 more
2026
Automotive Engineering-Centric Agentic AI Workflow Framework
Tong Duy Son, Zhihao Liu, Piero Brigida +4 more
2026
Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction
Tong Duy Son, Kohta Sugiura, Marc Brughmans +7 more
2026