Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
papers in the database
LEARNING papers(5,494)
Clear ✕LSTM-Based Modeling and Reinforcement Learning Control of a Magnetically Actuated Catheter
Arya Rashidinejad Meibodi, Mahbod Gholamali Sinaki, Khalil Alipour
2025
Generalised Linear Models in Deep Bayesian RL with Learnable Basis Functions
Jingyang You, Hanna Kurniawati
2025
Accelerating Underground Pumped Hydro Energy Storage Scheduling with Decision-Focused Learning
Honghui Zheng, Pietro Favaro, Yury Dvorkin +1 more
2025
Proprioception Enhances Vision Language Model in Generating Captions and Subtask Segmentations for Robot Task
Kanata Suzuki, Shota Shimizu, Tetsuya Ogata
2025
Robustness Certificates for Neural Networks against Adversarial Attacks
Sara Taheri, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar +1 more
2025
Leveraging High-Fidelity Digital Models and Reinforcement Learning for Mission Engineering: A Case Study of Aerial Firefighting Under Perfect Information
İbrahim Oğuz Çetinkaya, Sajad Khodadadian, Taylan G. Topcu
2025
Joint Design of Embedded Index Coding and Beamforming for MIMO-based Distributed Computing via Multi-Agent Reinforcement Learning
Heekang Song, Wan Choi
2025
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