Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕A Dimension-Decomposed Learning Framework for Online Disturbance Identification in Quadrotor SE(3) Control
Tianhua Gao
2025
Embracing Evolution: A Call for Body-Control Co-Design in Embodied Humanoid Robot
Guiliang Liu, Bo Yue, Yi Jin Kim +1 more
2025
Comparative Analysis of Parameterized Action Actor-Critic Reinforcement Learning Algorithms for Web Search Match Plan Generation
Ubayd Bapoo, Clement N Nyirenda
2025
Global Convergence of Policy Gradient for Entropy Regularized Linear-Quadratic Control with Multiplicative Noise
Gabriel Diaz, Lucky Li, Wenhao Zhang
2025
On Architectures for Combining Reinforcement Learning and Model Predictive Control with Runtime Improvements
Xiaolong Jia, Nikhil Bajaj
2025
Improved Robustness of Deep Reinforcement Learning for Control of Time-Varying Systems by Bounded Extremum Seeking
Shaifalee Saxena, Alan Williams, Rafael Fierro +1 more
2025
Data-Driven Stochastic Distribution System Hardening Based on Bayesian Online Learning
Wenlong Shi, Hongyi Li, Zhaoyu Wang
2025
On the (almost) Global Exponential Convergence of the Overparameterized Policy Optimization for the LQR Problem
Moh Kamalul Wafi, Arthur Castello B. de Oliveira, Eduardo D. Sontag
2025
Online Hierarchical Policy Learning using Physics Priors for Robot Navigation in Unknown Environments
Wei Han Chen, Yuchen Liu, Alexiy Buynitsky +1 more
2025
Off-Policy Reinforcement Learning with Anytime Safety Guarantees via Robust Safe Gradient Flow
Pol Mestres, Arnau Marzabal, Jorge Cortés
2025
Density-Ratio Weighted Behavioral Cloning: Learning Control Policies from Corrupted Datasets
Shriram Karpoora Sundara Pandian, Ali Baheri
2025
Comparative Field Deployment of Reinforcement Learning and Model Predictive Control for Residential HVAC
Ozan Baris Mulayim, Elias N. Pergantis, Levi D. Reyes Premer +4 more
2025
SCOPED: Score-Curvature Out-of-distribution Proximity Evaluator for Diffusion
Brett Barkley, Preston Culbertson, David Fridovich-Keil
2025
How Well do Diffusion Policies Learn Kinematic Constraint Manifolds?
Lexi Foland, Thomas Cohn, Adam Wei +3 more
2025
Integrated Security Mechanisms for Weight Protection in Memristive Crossbar Arrays
Muhammad Faheemur Rahman, Wayne Burleson
2025
Multi-Actor Multi-Critic Deep Deterministic Reinforcement Learning with a Novel Q-Ensemble Method
Andy Wu, Chun-Cheng Lin, Rung-Tzuo Liaw +3 more
2025
A Neuro-Fuzzy System for Interpretable Long-Term Stock Market Forecasting
Miha Ožbot, Igor Škrjanc, Vitomir Štruc
2025
TubeDAgger: Reducing the Number of Expert Interventions with Stochastic Reach-Tubes
Julian Lemmel, Manuel Kranzl, Adam Lamine +3 more
2025
Wireless Laser Power Transfer for Low-altitude Uncrewed Aerial Vehicle-assisted Internet of Things: Paradigms, Challenges, and Solutions
Chengzhen Li, Likun Zhang, Chuang Zhang +4 more
2025
Integrating Offline Pre-Training with Online Fine-Tuning: A Reinforcement Learning Approach for Robot Social Navigation
Run Su, Hao Fu, Shuai Zhou +1 more
2025
Conflict-Based Search as a Protocol: A Multi-Agent Motion Planning Protocol for Heterogeneous Agents, Solvers, and Independent Tasks
Rishi Veerapaneni, Alvin Tang, Haodong He +9 more
2025
VLA-RFT: Vision-Language-Action Reinforcement Fine-tuning with Verified Rewards in World Simulators
Hengtao Li, Pengxiang Ding, Runze Suo +8 more
2025
DiSA-IQL: Offline Reinforcement Learning for Robust Soft Robot Control under Distribution Shifts
Linjin He, Xinda Qi, Dong Chen +2 more
2025
Learning Human Reaching Optimality Principles from Minimal Observation Inverse Reinforcement Learning
Sarmad Mehrdad, Maxime Sabbah, Vincent Bonnet +1 more
2025