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 ✕Anomaly Detection with Machine Learning Algorithms in Large-Scale Power Grids
Marc Gillioz, Guillaume Dubuis, Étienne Voutaz +1 more
2026
Dynamic Interference Management for TN-NTN Coexistence in the Upper Mid-Band
Pradyumna Kumar Bishoyi, Chia Chia Lee, Navid Keshtiarast +1 more
2026
Semi-Supervised Cross-Domain Imitation Learning
Li-Min Chu, Kai-Siang Ma, Ming-Hong Chen +1 more
2026
Exploring the impact of adaptive rewiring in Graph Neural Networks
Charlotte Cambier van Nooten, Christos Aronis, Yuliya Shapovalova +1 more
2026
From Interaction to Demonstration Quality in Virtual Reality: Effects of Interaction Modality and Visual Representation on Everyday Tasks
Robin Beierling, Manuel Scheibl, Jonas Dech +2 more
2026
Flow-Enabled Generalization to Human Demonstrations in Few-Shot Imitation Learning
Runze Tang, Penny Sweetser
2026
Towards Long-Lived Robots: Continual Learning VLA Models via Reinforcement Fine-Tuning
Yuan Liu, Haoran Li, Shuai Tian +5 more
2026
Efficient Policy Adaptation for Voltage Control Under Unknown Topology Changes
Jie Feng, Yuanyuan Shi, Deepjyoti Deka
2026
Confounding Robust Continuous Control via Automatic Reward Shaping
Mateo Juliani, Mingxuan Li, Elias Bareinboim
2026
Adaptive Time Step Flow Matching for Autonomous Driving Motion Planning
Ananya Trivedi, Anjian Li, Mohamed Elnoor +7 more
2026
ST4VLA: Spatially Guided Training for Vision-Language-Action Models
Jinhui Ye, Fangjing Wang, Ning Gao +9 more
2026
Optimistic World Models: Efficient Exploration in Model-Based Deep Reinforcement Learning
Akshay Mete, Shahid Aamir Sheikh, Tzu-Hsiang Lin +2 more
2026
A Collaborative Safety Shield for Safe and Efficient CAV Lane Changes in Congested On-Ramp Merging
Bharathkumar Hegde, Melanie Bouroche
2026
Acoustic Drone Package Delivery Detection
François Marcoux, François Grondin
2026
Knowledge Integration in Differentiable Models: A Comparative Study of Data-Driven, Soft-Constrained, and Hard-Constrained Paradigms for Identification and Control of the Single Machine Infinite Bus System
Shinhoo Kang, Sangwook Kim, Sehyun Yun
2026
EExApp: GNN-Based Reinforcement Learning for Radio Unit Energy Optimization in 5G O-RAN
Jie Lu, Peihao Yan, Huacheng Zeng
2026
An Actor-Critic-Identifier Control Design for Increasing Energy Efficiency of Automated Electric Vehicles
Hamed Faghihian, Arman Sargolzaei
2026
Contraction Metric Based Safe Reinforcement Learning Force Control for a Hydraulic Actuator with Real-World Training
Lucca Maitan, Lucas Toschi, Cícero Zanette +3 more
2026
High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning
Jiarui Zhang, Chengyong Lei, Chengjiang Dai +3 more
2026
Learning to Drive in New Cities Without Human Demonstrations
Zilin Wang, Saeed Rahmani, Daphne Cornelisse +4 more
2026
Affine Transformable Unmanned Ground Vehicle
Aron Mathias, Mohammad Ghufran, Jack Hughes +1 more
2026
RAPiD: Real-time Deterministic Trajectory Planning via Diffusion Behavior Priors for Safe and Efficient Autonomous Driving
Ruturaj Reddy, Hrishav Bakul Barua, Junn Yong Loo +2 more
2026
Meta-Reinforcement Learning for Robust and Non-greedy Control Barrier Functions in Spacecraft Proximity Operations
Minduli C. Wijayatunga, Richard Linares, Roberto Armellin
2026
Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution
Rivaaj Monsia, Daniel Young, Olivier Francon +1 more
2026