Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
Research Advisor
Describe your robotics research problem — get fitting method families grounded in real papers.
papers in the database
LEARNING papers(27,419)
Clear ✕Personalized Spiking Neural Networks with Ferroelectric Synapses for EEG Signal Processing
Nikhil Garg, Anxiong Song, Niklas Plessnig +2 more
2025
InDRiVE: Reward-Free World-Model Pretraining for Autonomous Driving via Latent Disagreement
Feeza Khan Khanzada, Jaerock Kwon
2025
Pseudo-Expert Regularized Offline RL for End-to-End Autonomous Driving in Photorealistic Closed-Loop Environments
Chihiro Noguchi, Takaki Yamamoto
2025
SD2AIL: Adversarial Imitation Learning from Synthetic Demonstrations via Diffusion Models
Pengcheng Li, Qiang Fang, Tong Zhao +2 more
2025
Comparing Dynamical Models Through Diffeomorphic Vector Field Alignment
Ruiqi Chen, Giacomo Vedovati, Todd Braver +1 more
2025
Distributionally Robust Multi-Agent Reinforcement Learning for Intelligent Traffic Control
Shuwei Pei, Joran Borger, Arda Kosay +2 more
2025
Distributed Control of Network Systems in the Space of Stabilizing Graph Neural Network Policies
John Cao, Luca Furieri
2025
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