Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,950)
Clear ✕Reinforcement Learning for AMR Charging Decisions: The Impact of Reward and Action Space Design
Janik Bischoff, Alexandru Rinciog, Anne Meyer
2025
Lifelong reinforcement learning for health-aware fast charging of lithium-ion batteries
Meng Yuan, Changfu Zou
2025
User-centric Vehicle-to-Grid Optimization with an Input Convex Neural Network-based Battery Degradation Model
Arghya Mallick, Georgios Pantazis, Mohammad Khosravi +2 more
2025
DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production
Joon-Young Kim, Jecheon Yu, Heekyu Kim +1 more
2025
Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
Kehan Long, Jorge Cortés, Nikolay Atanasov
2025
Enhancing Secrecy Energy Efficiency in RIS-Aided Aerial Mobile Edge Computing Networks: A Deep Reinforcement Learning Approach
Aly Sabri Abdalla, Vuk Marojevic
2025
Embodied AI in Machine Learning -- is it Really Embodied?
Matej Hoffmann, Shubhan Parag Patni
2025
System Identification and Control Using Lyapunov-Based Deep Neural Networks without Persistent Excitation: A Concurrent Learning Approach
Rebecca G. Hart, Omkar Sudhir Patil, Zachary I. Bell +1 more
2025
Fine-tuning Diffusion Policies with Backpropagation Through Diffusion Timesteps
Ningyuan Yang, Jiaxuan Gao, Feng Gao +2 more
2025
Unlocking Innate Computing Abilities in Electric Grids
Yubo Song, Subham Sahoo
2025
Efficient Adaptation of Reinforcement Learning Agents to Sudden Environmental Change
Jonathan Clifford Balloch
2025
Sample Complexity of Distributionally Robust Average-Reward Reinforcement Learning
Zijun Chen, Shengbo Wang, Nian Si
2025
Offline Reinforcement Learning for Microgrid Voltage Regulation
Shan Yang, Yongli Zhu
2025
Path Integral Bottleneck: An Algorithm-Agnostic Framework of Computation and Control
Justin Ting, Jing Shuang Li
2025
Control Invariant Sets for Neural Network Dynamical Systems and Recursive Feasibility in Model Predictive Control
Xiao Li, Tianhao Wei, Changliu Liu +2 more
2025
Risk-Aware Safe Reinforcement Learning for Control of Stochastic Linear Systems
Babak Esmaeili, Nariman Niknejad, Hamidreza Modares
2025
Learning Long-Context Diffusion Policies via Past-Token Prediction
Marcel Torne, Andy Tang, Yuejiang Liu +1 more
2025
Distilling Realizable Students from Unrealizable Teachers
Yujin Kim, Nathaniel Chin, Arnav Vasudev +1 more
2025
Neural Multivariate Regression: Qualitative Insights from the Unconstrained Feature Model
George Andriopoulos, Soyuj Jung Basnet, Juan Guevara +2 more
2025
Luré-Postnikov Stability Analysis of Closed-Loop Control Systems with Gated Recurrent Neural Network-based Virtual Sensors
Eric Hilgert, Andreas Schwung
2025
Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation
Bo Meng, Chenghao Xu, Yongli Zhu
2025
Intelligent Road Anomaly Detection with Real-time Notification System for Enhanced Road Safety
Ali Almakhluk, Uthman Baroudi, Yasser El-Alfy
2025
A Survey of 3D Reconstruction with Event Cameras
Chuanzhi Xu, Haoxian Zhou, Langyi Chen +7 more
2025
Continuous World Coverage Path Planning for Fixed-Wing UAVs using Deep Reinforcement Learning
Mirco Theile, Andres R. Zapata Rodriguez, Marco Caccamo +1 more
2025