Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕Edge-to-Cloud Computations-as-a-Service in Software-Defined Energy Networks for Smart Grids
Jack Jackman, David Ryan, Arun Narayanan +2 more
2025
A Primer on SO(3) Action Representations in Deep Reinforcement Learning
Martin Schuck, Sherif Samy, Angela P. Schoellig
2025
Flow Matching-Based Autonomous Driving Planning with Advanced Interactive Behavior Modeling
Tianyi Tan, Yinan Zheng, Ruiming Liang +6 more
2025
Vlaser: Vision-Language-Action Model with Synergistic Embodied Reasoning
Ganlin Yang, Tianyi Zhang, Haoran Hao +15 more
2025
Game-Theoretic Risk-Shaped Reinforcement Learning for Safe Autonomous Driving
Dong Hu, Fenqing Hu, Lidong Yang +1 more
2025
Reinforcement Learning-based Dynamic Adaptation for Sampling-Based Motion Planning in Agile Autonomous Driving
Alexander Langmann, Yevhenii Tokarev, Mattia Piccinini +2 more
2025
Towards Safe Maneuvering of Double-Ackermann-Steering Robots with a Soft Actor-Critic Framework
Kohio Deflesselle, Mélodie Daniel, Aly Magassouba +2 more
2025
Low-cost Pyranometer-Based ANN Approach for MPPT in Solar PV Systems
Luiz Fernando M. Arruda, Moises Ferber, Diego Greff
2025
X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
Jinliang Zheng, Jianxiong Li, Zhihao Wang +12 more
2025
UF-RNN: Real-Time Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction
Hyogo Hiruma, Hiroshi Ito, Tetsuya Ogata
2025
Bounds of Validity for Bifurcations of Equilibria in a Class of Networked Dynamical Systems
Pranav Gupta, Ravi Banavar, Anastasia Bizyaeva
2025
Performance Index Shaping for Closed-loop Optimal Control
Ayush Rai, Shaoshuai Mou, Brian D. O. Anderson
2025
Dejavu: Towards Experience Feedback Learning for Embodied Intelligence
Shaokai Wu, Yanbiao Ji, Qiuchang Li +7 more
2025
Reinforcement Fine-Tuning of Flow-Matching Policies for Vision-Language-Action Models
Mingyang Lyu, Yinqian Sun, Erliang Lin +4 more
2025
Structured Cooperative Multi-Agent Reinforcement Learning: a Bayesian Network Perspective
Shahbaz P Qadri Syed, He Bai
2025
Latent-Feature-Informed Neural ODE Modeling for Lightweight Stability Evaluation of Black-box Grid-Tied Inverters
Jialin Zheng, Zhong Liu, Xiaonan Lu
2025
Constructive Lyapunov Functions via Topology-Preserving Neural Networks
Jaehong Oh
2025
Towards Information-Optimized Multi-Agent Path Finding: A Hybrid Framework with Reduced Inter-Agent Information Sharing
Bharath Muppasani, Ritirupa Dey, Biplav Srivastava +1 more
2025
Failure Prediction at Runtime for Generative Robot Policies
Ralf Römer, Adrian Kobras, Luca Worbis +1 more
2025
MPA-DNN: Projection-Aware Unsupervised Learning for Multi-period DC-OPF
Yeomoon Kim, Minsoo Kim, Jip Kim
2025
Obstacle Avoidance using Dynamic Movement Primitives and Reinforcement Learning
Dominik Urbaniak, Alejandro Agostini, Pol Ramon +3 more
2025
When a Robot is More Capable than a Human: Learning from Constrained Demonstrators
Xinhu Li, Ayush Jain, Zhaojing Yang +2 more
2025
Sensing, Detection and Localization for Low Altitude UAV: A RF-Based Framework via Multiple BSs Collaboration
Tianhao Liang, Mu Jia, Tingting Zhang +4 more
2025
Traffic-Aware Eco-Driving Control in CAVs via Learning-based Terminal Cost Model
Mehmet Fatih Ozkan, Dennis Kibalama, Jacob Paugh +2 more
2025