Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Low-Barrier Dataset Collection with Real Human Body for Interactive Per-Garment Virtual Try-On
Zaiqiang Wu, Yechen Li, Jingyuan Liu +4 more
2025
System Identification Using Kolmogorov-Arnold Networks: A Case Study on Buck Converters
Nart Gashi, Panagiotis Kakosimos, George Papafotiou
2025
Semi-Tensor-Product Based Convolutional Neural Networks
Daizhan Cheng, Xiao Zhang
2025
WaveFormer: A Lightweight Transformer Model for sEMG-based Gesture Recognition
Yanlong Chen, Mattia Orlandi, Pierangelo Maria Rapa +3 more
2025
Wasserstein Barycenter Soft Actor-Critic
Zahra Shahrooei, Ali Baheri
2025
Bridging Continuous-time LQR and Reinforcement Learning via Gradient Flow of the Bellman Error
Armin Gießler, Albertus Johannes Malan, Sören Hohmann
2025
When Is Diversity Rewarded in Cooperative Multi-Agent Learning?
Michael Amir, Matteo Bettini, Amanda Prorok
2025
Optimal Operating Strategy for PV-BESS Households: Balancing Self-Consumption and Self-Sufficiency
Jun Wook Heo, Raja Jurdak, Sara Khalifa
2025
Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
Haoyuan Cai, Zhenghao Peng, Bolei Zhou
2025
Bayesian Inverse Physics for Neuro-Symbolic Robot Learning
Octavio Arriaga, Rebecca Adam, Melvin Laux +4 more
2025
Linguistic Ordered Weighted Averaging based deep learning pooling for fault diagnosis in a wastewater treatment plant
Alicia Beneyto-Rodriguez, Gregorio I. Sainz-Palmero, Marta Galende-Hernández +1 more
2025
Predictive reinforcement learning based adaptive PID controller
Chaoqun Ma, Zhiyong Zhang
2025
TGRPO :Fine-tuning Vision-Language-Action Model via Trajectory-wise Group Relative Policy Optimization
Zengjue Chen, Runliang Niu, He Kong +3 more
2025
DEKC: Data-Enable Control for Tethered Space Robot Deployment in the Presence of Uncertainty via Koopman Operator Theory
Ao Jin, Qinyi Wang, Sijie Wen +4 more
2025
A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle
Amirreza Yasami, Mohammadali Tofigh, Mahdi Shahbakhti +1 more
2025
Decentralizing Multi-Agent Reinforcement Learning with Temporal Causal Information
Jan Corazza, Hadi Partovi Aria, Hyohun Kim +2 more
2025
Lite-RVFL: A Lightweight Random Vector Functional-Link Neural Network for Learning Under Concept Drift
Songqiao Hu, Zeyi Liu, Xiao He
2025
A Digital Twin Framework for Generation-IV Reactors with Reinforcement Learning-Enabled Health-Aware Supervisory Control
Jasmin Y. Lim, Dimitrios Pylorof, Humberto E. Garcia +1 more
2025
UruBots Autonomous Cars Challenge Pro Team Description Paper for FIRA 2025
Pablo Moraes, Mónica Rodríguez, Sebastian Barcelona +6 more
2025
On the Generalization of Data-Assisted Control in port-Hamiltonian Systems (DAC-pH)
Mostafa Eslami, Maryam Babazadeh
2025
Accelerating 3D Gaussian Splatting with Neural Sorting and Axis-Oriented Rasterization
Zhican Wang, Guanghui He, Dantong Liu +7 more
2025
CARoL: Context-aware Adaptation for Robot Learning
Zechen Hu, Tong Xu, Xuesu Xiao +1 more
2025
PGR-DRC: Pre-Global Routing DRC Violation Prediction Using Unsupervised Learning
Riadul Islam, Dhandeep Challagundla
2025
Safety-Aware Reinforcement Learning for Control via Risk-Sensitive Action-Value Iteration and Quantile Regression
Clinton Enwerem, Aniruddh G. Puranic, John S. Baras +1 more
2025