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12/28/2022
Learning When to Use Adaptive Adversarial Image Perturbations against Autonomous Vehicles
The deep neural network (DNN) models for object detection using camera i...
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03/18/2022
Sampling Complexity of Path Integral Methods for Trajectory Optimization
The use of random sampling in decision-making and control has become pop...
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11/28/2021
Learning Wildfire Model from Incomplete State Observations
As wildfires are expected to become more frequent and severe, improved p...
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05/09/2021
Learning Image Attacks toward Vision Guided Autonomous Vehicles
While adversarial neural networks have been shown successful for static ...
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03/04/2021
Estimation and Planning of Exploration Over Grid Map Using A Spatiotemporal Model with Incomplete State Observations
Path planning over spatiotemporal models can be applied to a variety of ...
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08/02/2019
High Accuracy Tumor Diagnoses and Benchmarking of Hematoxylin and Eosin Stained Prostate Core Biopsy Images Generated by Explainable Deep Neural Networks
Histopathological diagnoses of tumors in tissue biopsy after Hematoxylin...
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06/11/2019
Towards Resilient UAV: Escape Time in GPS Denied Environment with Sensor Drift
This paper considers a resilient state estimation framework for unmanned...
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03/12/2019
A Path Planning Framework for a Flying Robot in Close Proximity of Humans
We present a path planning framework that takes into account the human's...
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12/13/2018
Learning to Communicate: A Machine Learning Framework for Heterogeneous Multi-Agent Robotic Systems
We present a machine learning framework for multi-agent systems to learn...
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09/17/2018