Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,814)
Clear ✕An Optimal Policy for Learning Controllable Dynamics by Exploration
Peter N. Loxley
2025
Spatio-Temporal Graph Neural Networks for Dairy Farm Sustainability Forecasting and Counterfactual Policy Analysis
Surya Jayakumar, Kieran Sullivan, John McLaughlin +2 more
2025
LeLaR: The First In-Orbit Demonstration of an AI-Based Satellite Attitude Controller
Kirill Djebko, Tom Baumann, Erik Dilger +2 more
2025
Sign Language Recognition using Parallel Bidirectional Reservoir Computing
Nitin Kumar Singh, Arie Rachmad Syulistyo, Yuichiro Tanaka +1 more
2025
A Gauss-Newton-Induced Structure-Exploiting Algorithm for Differentiable Optimal Control
Yuankun Chen, Zifei Nie, Xun Gong +2 more
2025
Machine Learning of Temperature-dependent Chemical Kinetics Using Parallel Droplet Microreactors
Mamoru Saita, Yutaka Hori
2025
Are All Data Necessary? Efficient Data Pruning for Large-scale Autonomous Driving Dataset via Trajectory Entropy Maximization
Zhaoyang Liu, Weitao Zhou, Junze Wen +4 more
2025
6DAttack: Backdoor Attacks in the 6DoF Pose Estimation
Jihui Guo, Zongmin Zhang, Zhen Sun +4 more
2025
DTCCL: Disengagement-Triggered Contrastive Continual Learning for Autonomous Bus Planners
Yanding Yang, Weitao Zhou, Jinhai Wang +8 more
2025
OPBO: Order-Preserving Bayesian Optimization
Wei Peng, Jianchen Hu, Kang Liu +1 more
2025
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