Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,917)
Clear ✕Humidity‐Triggered Spontaneous Phase Separation Enables Multifunctional 3D Porous Composites for Piezoresistive Mechanosensory and Electromagnetic Interference Shielding
Yige Liu, Menglong Dai, Rui Li +6 more
2026
Maya-Prana: Metabolic Plasticity Budget for Continual Learning in Affective Spiking Neural Networks
Venkatesh Swaminathan
2026
Advances in EMG Signal Processing and Pattern Recognition: Techniques, Challenges, and Emerging Applications
Lasitha Piyathilaka, Jung-Hoon Sul, Sanura Dunu Arachchige +2 more
2026
Embedded strategy for battery module states estimation using tiny machine learning models
Spyridon Giazitzis, Jack Ferrari, Antoni J. Woss +3 more
2026
Synthesis of model predictive control and reinforcement learning: Survey and classification
Rudolf Reiter, Jasper Hoffmann, Dirk Reinhardt +6 more
2026
A physics-informed graph neural network conserving linear and angular momentum for dynamical systems
Vinay Sharma, Olga Fink
2026
Control-Communication Co-Optimization for Wireless Cloud Robotic System via Multi-Agent Transfer Reinforcement Learning
Haibin Yu
2026
An Improved Deep Neural Network System for Strawberry Ripeness Detection and Classification
Ömer Özcan, Muhammed Karaaltun, Mehmet Hacıbeyoğlu
2026
IoT-Integrated robotic system for automated plant disease detection and environmental monitoring
Manar A. Ibrahim, Abdelrhman A. Karim, Haya k. Elsonbaty +1 more
2026
A Contextual-Bandit Oversight Game with Two-Sided Informational Asymmetry
Yunjin Tong
2026
On the Comparison of Reinforcement Learning and Adaptive Control for Linear Systems under Packet Loss and Uncertainty
Moh Kamalul Wafi
2026
Adapting Generalist Robot Policies with Semantic Reinforcement Learning
Jagdeep Singh Bhatia, Andrew Wagenmaker, William Chen +1 more
2026
Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models
Lang Cao, Renhong Chen, Luyi Li +3 more
2026
Bridging Local Observation and Global Simulation in Closed-Loop Traffic Modeling
Ziyan Wang, Tan Xiang, Peng Chen +1 more
2026
Dynamic Scheduling for Flexible Manufacturing Systems Based on Multi-Agent Deep Reinforcement Learning and Petri Nets
Zhou He, Ning Li, Ning Ran +2 more
2026
Learning Expert Strategy for Autonomous Robotic Endovascular Intervention via Decoupled Procedural Execution
Yanxi Chen, Tianliang Yao, Shaolong Tang +5 more
2026
Uncertainty Quantification via Invariant-Measure Conformal Prediction
Mohammadhossein Bakhtiaridoust, Dominik Baumann, Shankar Deka
2026
Stabilization Learning: A Paradigm Transition Bridging Control Theory and Machine Learning
Quan Quan
2026
Energy-Optimal Spatial Iterative Learning within a Virtual Tube
Chen Min, Shuli Lv, Pengda Mao +3 more
2026
Preference-Conditioned Multi-Objective Reinforcement Learning for Runtime-Tunable Transit Signal Priority
Philip-Roman Adam, Stefanie Schmidtner
2026
Revisiting Parameter Redundancy in Vision-Language-Action Models: Insights from VLM-to-VLA Adaptation
Fengnian Zhang, Tao Huang, Siyu Xu +2 more
2026
Safe Online Learning via Smooth Safety-Structured Policy Composition
Hongpeng Cao, Liqun Zhao, Yuliang Gu +3 more
2026
Plan Right, Then Plan Tight: Symbolic RL for Efficient Embodied Reasoning
Xiangli Shi, Xiaomeng Zhu, Ye Tian +5 more
2026
Long-term Traffic Simulation via Structured Autoregressive Modeling
Lingyu Xiao, Zexin Feng, Xintao Yan
2026