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 ✕A Reinforcement Learning-based Transmission Expansion Framework Considering Strategic Bidding in Electricity Markets
Tomonari Kanazawa, Hikaru Hoshino, Eiko Furutani
2026
TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
Shirui Chen, Cole Harrison, Ying-Chun Lee +6 more
2026
HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning
Ziyan Zhang, Changxin Wan, Peng Hao +5 more
2026
CLASH: Collision Learning via Augmented Sim-to-real Hybridization to Bridge the Reality Gap
Haotian He, Ning Guo, Siqi Shi +2 more
2026
Toward AI Autonomous Navigation for Mechanical Thrombectomy using Hierarchical Modular Multi-agent Reinforcement Learning (HM-MARL)
Harry Robertshaw, Nikola Fischer, Lennart Karstensen +6 more
2026
Enhancing Goal Inference via Correction Timing
Anjiabei Wang, Shuangge Wang, Tesca Fitzgerald
2026
TempoNet: Slack-Quantized Transformer-Guided Reinforcement Scheduler for Adaptive Deadline-Centric Real-Time Dispatchs
Rong Fu, Yibo Meng, Guangzhen Yao +7 more
2026
Interacting safely with cyclists using Hamilton-Jacobi reachability and reinforcement learning
Aarati Andrea Noronha, Jean Oh
2026
Decision Support under Prediction-Induced Censoring
Yan Chen, Ruyi Huang, Cheng Liu
2026
Learning Optimal and Sample-Efficient Decision Policies with Guarantees
Daqian Shao
2026
Generating adversarial inputs for a graph neural network model of AC power flow
Robert Parker
2026
MePoly: Max Entropy Polynomial Policy Optimization
Hang Liu, Sangli Teng, Maani Ghaffari
2026
Reinforcement-Learning-Based Assistance Reduces Squat Effort with a Modular Hip--Knee Exoskeleton
Neethan Ratnakumar, Mariya Huzaifa Tohfafarosh, Saanya Jauhri +1 more
2026
Graph Neural Model Predictive Control for High-Dimensional Systems
Patrick Benito Eberhard, Luis Pabon, Daniele Gammelli +5 more
2026
Driving-Over Detection in the Railway Environment
Tobias Herrmann, Nikolay Chenkov, Florian Stark +2 more
2026
LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy
Hsin-Jung Yang, Zhanhong Jiang, Prajwal Koirala +3 more
2026
Learning-based augmentation of first-principle models: A linear fractional representation-based approach
Jan H. Hoekstra, Bendegúz M. Györök, Roland Tóth +1 more
2026
Continual uncertainty learning
Heisei Yonezawa, Ansei Yonezawa, Itsuro Kajiwara
2026
Spatio-temporal dual-stage hypergraph MARL for human-centric multimodal corridor traffic signal control
Xiaocai Zhang, Neema Nassir, Milad Haghani
2026
Neuro-Symbolic Strong-AI Robots with Closed Knowledge Assumption: Learning and Deductions
Zoran Majkic
2026
Machine Learning Argument of Latitude Error Model for LEO Satellite Orbit and Covariance Correction
Alex Moody, Penina Axelrad, Rebecca Russell
2026
Certifying Hamilton-Jacobi Reachability Learned via Reinforcement Learning
Prashant Solanki, Isabelle El-Hajj, Jasper J. van Beers +2 more
2026
Machine Learning Driven Prediction of the Behavior of Biohybrid Actuators
Michail-Antisthenis Tsompanas, Marco Perez Hernandez, Faisal Abdul-Fattah +9 more
2026
Graphon Mean-Field Subsampling for Cooperative Heterogeneous Multi-Agent Reinforcement Learning
Emile Anand, Richard Hoffmann, Sarah Liaw +1 more
2026