Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,491)
Clear ✕Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation
Roman Küble, Marco Hüller, Mrunmai Phatak +2 more
2026
Bayesian Learning-Enhanced Navigation with Deep Smoothing for Inertial-Aided Navigation
Nadav Cohen, Itzik Klein
2026
DRL-Based Spectrum Sharing for RIS-Aided Local High-Quality Wireless Networks
Hamid Reza Hashempour, Mina Khadem, Eduard A. Jorswieck
2026
Learning Rollout from Sampling:An R1-Style Tokenized Traffic Simulation Model
Ziyan Wang, Peng Chen, Ding Li +4 more
2026
COIN: Collaborative Interaction-Aware Multi-Agent Reinforcement Learning for Self-Driving Systems
Yifeng Zhang, Jieming Chen, Tingguang Zhou +4 more
2026
CROSS: A Mixture-of-Experts Reinforcement Learning Framework for Generalizable Large-Scale Traffic Signal Control
Xibei Chen, Yifeng Zhang, Yuxiang Xiao +3 more
2026
DreamerAD: Efficient Reinforcement Learning via Latent World Model for Autonomous Driving
Pengxuan Yang, Yupeng Zheng, Deheng Qian +11 more
2026
Towards Safe Learning-Based Non-Linear Model Predictive Control through Recurrent Neural Network Modeling
Mihaela-Larisa Clement, Mónika Farsang, Agnes Poks +4 more
2026
CoordLight: Learning Decentralized Coordination for Network-Wide Traffic Signal Control
Yifeng Zhang, Harsh Goel, Peizhuo Li +3 more
2026
LATS: Large Language Model Assisted Teacher-Student Framework for Multi-Agent Reinforcement Learning in Traffic Signal Control
Yifeng Zhang, Peizhuo Li, Tingguang Zhou +2 more
2026
Evidence of an Emergent "Self" in Continual Robot Learning
Adidev Jhunjhunwala, Judah Goldfeder, Hod Lipson
2026
Large Language Model Guided Incentive Aware Reward Design for Cooperative Multi-Agent Reinforcement Learning
Dogan Urgun, Gokhan Gungor
2026
C-STEP: Continuous Space-Time Empowerment for Physics-informed Safe Reinforcement Learning of Mobile Agents
Guihlerme Daubt, Adrian Redder
2026
The impact of sensor placement on graph-neural-network-based leakage detection
J. J. H. van Gemert, V. Breschi, D. R. Yntema +2 more
2026
Off-Policy Safe Reinforcement Learning with Constrained Optimistic Exploration
Guopeng Li, Matthijs T. J. Spaan, Julian F. P. Kooij
2026
Learning-guided Prioritized Planning for Lifelong Multi-Agent Path Finding in Warehouse Automation
Han Zheng, Yining Ma, Brandon Araki +2 more
2026
State-space fading memory
Gustave Bainier, Antoine Chaillet, Rodolphe Sepulchre +1 more
2026
Utilizing Adversarial Training for Robust Voltage Control: An Adaptive Deep Reinforcement Learning Method
Sungjoo Chung, Ying Zhang
2026
Self-Supervised Graph Neural Networks for Optimal Substation Reconfiguration
Antoine Martinez, Balthazar Donon, Louis Wehenkel +1 more
2026
Robust and Interpretable Graph Neural Networks for Power Systems State Estimation
Arbel Yaniv, Kilian Golinski, Christoph Goebel
2026
Scalable Impedance Identification of Diverse IBRs via Cluster-Specialized Neural Networks
Quang Manh Hoang, Guilherme Vieira Hollweg, Bang Nguyen +3 more
2026
Path Planning and Reinforcement Learning-Driven Control of On-Orbit Free-Flying Multi-Arm Robots
Álvaro Belmonte-Baeza, José Luis Ramón, Leonard Felicetti +2 more
2026
LiZIP: An Auto-Regressive Compression Framework for LiDAR Point Clouds
Aditya Shibu, Kayvan Karim, Claudio Zito
2026
Safe Decentralized Operation of EV Virtual Power Plant with Limited Network Visibility via Multi-Agent Reinforcement Learning
Chenghao Huang, Jiarong Fan, Weiqing Wang +1 more
2026