Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕A Distributed Hierarchical Spatio-Temporal Edge-Enhanced Graph Neural Network for City-Scale Dynamic Logistics Routing
Zihan Han, Lingran Meng, Jingwei Zhang
2025
Neural Proofs for Sound Verification and Control of Complex Systems
Alessandro Abate
2025
Dynamic Entropy Tuning in Reinforcement Learning Low-Level Quadcopter Control: Stochasticity vs Determinism
Youssef Mahran, Zeyad Gamal, Ayman El-Badawy
2025
Reinforcement Learning Position Control of a Quadrotor Using Soft Actor-Critic (SAC)
Youssef Mahran, Zeyad Gamal, Ayman El-Badawy
2025
Trustworthy and Explainable Deep Reinforcement Learning for Safe and Energy-Efficient Process Control: A Use Case in Industrial Compressed Air Systems
Vincent Bezold, Patrick Wagner, Jakob Hofmann +2 more
2025
NeuRehab: A Reinforcement Learning and Spiking Neural Network-Based Rehab Automation Framework
Phani Pavan Kambhampati, Chainesh Gautam, Jagan Palaniswamy +1 more
2025
Learning Safe Autonomous Driving Policies Using Predictive Safety Representations
Mahesh Keswani, Raunak Bhattacharyya
2025
Deep Learning-based Robust Autonomous Navigation of Aerial Robots in Dense Forests
Guglielmo Del Col, Väinö Karjalainen, Teemu Hakala +2 more
2025
Dispatch-Aware Deep Neural Network for Optimal Transmission Switching
Minsoo Kim, Matthew Brun, Andy Sun +1 more
2025
Linear Attention for Joint Power Optimization and User-Centric Clustering in Cell-Free Networks
Irched Chafaa, Giacomo Bacci, Luca Sanguinetti
2025
TakeAD: Preference-based Post-optimization for End-to-end Autonomous Driving with Expert Takeover Data
Deqing Liu, Yinfeng Gao, Deheng Qian +9 more
2025
Cooperative Energy Scheduling of Multi-Microgrids Based on Risk-Sensitive Reinforcement Learning
Rongxiang Zhang, Bo Li, Jinghua Li +6 more
2025
Semantic Co-Speech Gesture Synthesis and Real-Time Control for Humanoid Robots
Gang Zhang
2025
Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
Toshiaki Hori, Jonathan DeCastro, Deepak Gopinath +2 more
2025
PolaRiS: Scalable Real-to-Sim Evaluations for Generalist Robot Policies
Arhan Jain, Mingtong Zhang, Kanav Arora +11 more
2025
Learning-based Approximate Model Predictive Control for an Impact Wrench Tool
Mark Benazet, Francesco Ricca, Dario Bralla +2 more
2025
Machine Learning-based Optimal Control for Colloidal Self-Assembly
Andres Lizano-Villalobos, Fangyuan Ma, Wentao Tang +2 more
2025
Large Video Planner Enables Generalizable Robot Control
Boyuan Chen, Tianyuan Zhang, Haoran Geng +9 more
2025
Exact Learning of Linear Model Predictive Control Laws using Oblique Decision Trees with Linear Predictions
Jiayang Ren, Qiangqiang Mao, Tianwei Zhao +1 more
2025
Intertemporal Hedging Demand under Epstein-Zin Preferences in a Multi-Asset Long-Run Risk Model: Evidence from Projected Pontryagin-Guided Deep Policy Optimization
Wonchan Cho
2025
Automatic Reward Shaping from Multi-Objective Human Heuristics
Yuqing Xie, Jiayu Chen, Wenhao Tang +3 more
2025
CRISP: Contact-Guided Real2Sim from Monocular Video with Planar Scene Primitives
Zihan Wang, Jiashun Wang, Jeff Tan +4 more
2025
Fine-Tuning of Neural Network Approximate MPC without Retraining via Bayesian Optimization
Henrik Hose, Paul Brunzema, Alexander von Rohr +3 more
2025
Optimizing Multi-Tier Supply Chain Ordering with a Hybrid Liquid Neural Network and Extreme Gradient Boosting Model
Chunan Tong
2025