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07/13/2023
Safe Reinforcement Learning as Wasserstein Variational Inference: Formal Methods for Interpretability
Reinforcement Learning or optimal control can provide effective reasonin...
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05/23/2023
Support Vector Machine Guided Reproducing Kernel Particle Method for Image-Based Modeling of Microstructures
This work presents an approach for automating the discretization and app...
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02/22/2023
Trustworthy Reinforcement Learning for Quadrotor UAV Tracking Control Systems
Simultaneously accurate and reliable tracking control for quadrotors in ...
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07/15/2022
QuaDUE-CCM: Interpretable Distributional Reinforcement Learning using Uncertain Contraction Metrics for Precise Quadrotor Trajectory Tracking
Accuracy and stability are common requirements for Quadrotor trajectory ...
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05/14/2022
Interpretable Stochastic Model Predictive Control using Distributional Reinforced Estimation for Quadrotor Tracking Systems
This paper presents a novel trajectory tracker for autonomous quadrotor ...
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05/09/2022
Realization of Lattice Formation in Nonlinear Two-dimensional Potential by Mobile Robots
Formation control in multi-agent system has earned significant research ...
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03/09/2022
Practical Mission Planning for Optimized UAV-Sensor Wireless Recharging
Recharging Internet of Things devices using autonomous robots is an attr...
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02/24/2022
KinoJGM: A framework for efficient and accurate quadrotor trajectory generation and tracking in dynamic environments
Unmapped areas and aerodynamic disturbances render autonomous navigation...
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11/13/2018
Neuroimaging Modality Fusion in Alzheimer's Classification Using Convolutional Neural Networks
Automated methods for Alzheimer's disease (AD) classification have the p...
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02/04/2018
