Research
Robotics Research Publications
An open index of robotics research papers, refreshed daily.
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papers in the database
LEARNING papers(27,878)
Clear ✕Multi-Agent Reinforcement Learning for Decentralized Reservoir Management via Murmuration Intelligence
Heming Fu, Guojun Xiong, Jian Li +1 more
2025
Neural Networks for on-chip Model Predictive Control: a Method to Build Optimized Training Datasets and its application to Type-1 Diabetes
Alberto Castillo, Elliot Pryor, Anas El Fathi +2 more
2025
Enhancing Autonomous Driving Systems with On-Board Deployed Large Language Models
Nicolas Baumann, Cheng Hu, Paviththiren Sivasothilingam +4 more
2025
A real-time anomaly detection method for robots based on a flexible and sparse latent space
Taewook Kang, Bum-Jae You, Juyoun Park +1 more
2025
A mixed-integer framework for analyzing neural network-based controllers for piecewise affine systems with bounded disturbances
Dieter Teichrib, Moritz Schulze Darup
2025
Neural Control Barrier Functions from Physics Informed Neural Networks
Shreenabh Agrawal, Manan Tayal, Aditya Singh +1 more
2025
Adaptive Synaptogenesis Implemented on a Nanomagnetic Platform
Faiyaz Elahi Mullick, Supriyo Bandyopadhyay, Rob Baxter +2 more
2025
A Human-Sensitive Controller: Adapting to Human Ergonomics and Physical Constraints via Reinforcement Learning
Vitor Martins, Sara M. Cerqueira, Mercedes Balcells +2 more
2025
Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models
Hao Ren, Yiming Zeng, Zetong Bi +3 more
2025
FLoRA: Sample-Efficient Preference-based RL via Low-Rank Style Adaptation of Reward Functions
Daniel Marta, Simon Holk, Miguel Vasco +6 more
2025
snnTrans-DHZ: A Lightweight Spiking Neural Network Architecture for Underwater Image Dehazing
Vidya Sudevan, Fakhreddine Zayer, Rizwana Kausar +4 more
2025
Appointed-Time Fault-Tolerant Control for Flexible Hypersonic Vehicles with Unmeasurable States Independent of Initial Errors
Tianlong Zhao, Fei Hao
2025
Expressivity of Quadratic Neural ODEs
Joshua Hanson, Maxim Raginsky
2025
Computationally Efficient Signal Detection with Unknown Bandwidths
Ali Rasteh, Sundeep Rangan
2025
Efficient Implementation of Reinforcement Learning over Homomorphic Encryption
Jihoon Suh, Takashi Tanaka
2025
Towards More Efficient, Robust, Instance-adaptive, and Generalizable Sequential Decision making
Zhiyong Wang
2025
InterQ: A DQN Framework for Optimal Intermittent Control
Shubham Aggarwal, Dipankar Maity, Tamer Başar
2025
Near-Driven Autonomous Rover Navigation in Complex Environments: Extensions to Urban Search-and-Rescue and Industrial Inspection
Dhadkan Shrestha, Lincoln Bhattarai
2025
Reinforcement Learning-Driven Plant-Wide Refinery Planning Using Model Decomposition
Zhouchang Li, Runze Lin, Hongye Su +1 more
2025
Neural Network-assisted Interval Reachability for Systems with Control Barrier Function-Based Safe Controllers
Damola Ajeyemi, Saber Jafarpour, Emiliano Dall'Anese
2025
Optimizing Power Grid Topologies with Reinforcement Learning: A Survey of Methods and Challenges
Erica van der Sar, Alessandro Zocca, Sandjai Bhulai
2025
External-Wrench Estimation for Aerial Robots Exploiting a Learned Model
Ayham Alharbat, Gabriele Ruscelli, Roberto Diversi +1 more
2025
RL-based Control of UAS Subject to Significant Disturbance
Kousheek Chakraborty, Thijs Hof, Ayham Alharbat +1 more
2025
Deep Reinforcement Learning for Day-to-day Dynamic Tolling in Tradable Credit Schemes
Xiaoyi Wu, Ravi Seshadri, Filipe Rodrigues +1 more
2025