Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,419)
Clear ✕Survey and Tutorial of Reinforcement Learning Methods in Process Systems Engineering
Maximilian Bloor, Max Mowbray, Ehecatl Antonio Del Rio Chanona +1 more
2025
Can LLMs Translate Human Instructions into a Reinforcement Learning Agent's Internal Emergent Symbolic Representation?
Ziqi Ma, Sao Mai Nguyen, Philippe Xu
2025
SynAD: Enhancing Real-World End-to-End Autonomous Driving Models through Synthetic Data Integration
Jongsuk Kim, Jaeyoung Lee, Gyojin Han +3 more
2025
Secure Control of Connected and Autonomous Electrified Vehicles Under Adversarial Cyber-Attacks
Shashank Dhananjay Vyas, Satadru Dey
2025
Neural Two-Stage Stochastic Volt-VAR Optimization for Three-Phase Unbalanced Distribution Systems with Network Reconfiguration
Zhentong Shao, Jingtao Qin, Nanpeng Yu
2025
Maximal Load Shedding Verification for Neural Network Models of AC Line Switching
Samuel Chevalier, Duncan Starkenburg, Robert Parker +1 more
2025
Explicit Memory through Online 3D Gaussian Splatting Improves Class-Agnostic Video Segmentation
Anthony Opipari, Aravindhan K Krishnan, Shreekant Gayaka +4 more
2025
PlanarTrack: A high-quality and challenging benchmark for large-scale planar object tracking
Yifan Jiao, Xinran Liu, Xiaoqiong Liu +3 more
2025
Transferable Deep Reinforcement Learning for Cross-Domain Navigation: from Farmland to the Moon
Shreya Santra, Thomas Robbins, Kazuya Yoshida
2025
Neural Networks for AC Optimal Power Flow: Improving Worst-Case Guarantees during Training
Bastien Giraud, Rahul Nellikath, Johanna Vorwerk +2 more
2025
Finding 3D Scene Analogies with Multimodal Foundation Models
Junho Kim, Young Min Kim
2025
Guiding Skill Discovery with Foundation Models
Zhao Yang, Thomas M. Moerland, Mike Preuss +3 more
2025
NeuroDOB: A Deep Neural Observer-Based Controller for Vehicle Lateral Dynamics
Sangmin Kim, Taehun Kim, Guntae Kim +1 more
2025
Mixed-Density Diffuser: Efficient Planning with Non-Uniform Temporal Resolution
Crimson Stambaugh, Rajesh P. N. Rao
2025
Never Too Rigid to Reach: Adaptive Virtual Model Control with LLM- and Lyapunov-Based Reinforcement Learning
Jingzehua Xu, Yangyang Li, Yangfei Chen +2 more
2025
Transmission Neural Networks: Approximate Receding Horizon Control for Virus Spread on Networks
Shuang Gao, Peter E. Caines
2025
RL-AVIST: Reinforcement Learning for Autonomous Visual Inspection of Space Targets
Matteo El-Hariry, Andrej Orsula, Matthieu Geist +1 more
2025
Curriculum-Based Iterative Self-Play for Scalable Multi-Drone Racing
Onur Akgün
2025
SPIRAL: Self-Play Incremental Racing Algorithm for Learning in Multi-Drone Competitions
Onur Akgün
2025
BLIP-FusePPO: A Vision-Language Deep Reinforcement Learning Framework for Lane Keeping in Autonomous Vehicles
Seyed Ahmad Hosseini Miangoleh, Amin Jalal Aghdasian, Farzaneh Abdollahi
2025
Estimating Continuum Robot Shape under External Loading using Spatiotemporal Neural Networks
Enyi Wang, Zhen Deng, Chuanchuan Pan +2 more
2025
Model-Free Power System Stability Enhancement with Dissipativity-Based Neural Control
Yifei Wang, Han Wang, Kehao Zhuang +2 more
2025
EasyUUV: An LLM-Enhanced Universal and Lightweight Sim-to-Real Reinforcement Learning Framework for UUV Attitude Control
Guanwen Xie, Jingzehua Xu, Jiwei Tang +6 more
2025
A Hybrid GNN-LSE Method for Fast, Robust, and Physically-Consistent AC Power Flow
Mohamed Shamseldein
2025