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Engineering, Architecture and Technology

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Active Research Projects

Automous vehicles

User Interface Control Systems for Autonomous Vehicles

Overview
Intellegent Control

Intelligent Control, Communications & Robotics

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Energy Storage

Energy Storage & Integration

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Vehiclular Networks

Wireless Communication & Vehicular Networks

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AI Intellegence

Artificial Intelligence & Machine Vision

Overview
A flowchart showing an AI-supervised drone control system affected by environmental factors like sunlight and wind. On the left, a box labeled "AI supervisor" contains two modules: "CNN backbone" (processing glare, distortion, and blurry images) and "RL policy" (reinforcement learning). These generate state commands (x, y, z, φ, θ, ψ, and their derivatives) sent to a "Barrier Lyapunov Algorithm" box, which outputs rotor commands for the drone on the right. The drone is shown reacting to sunlight and wind. The drone sends back affected images and state data, closing the feedback loop to the AI system.

Artificial Intelligence & Automation

Overview

Active Grants of MERO Faculty

Development of Control Interface Components for Autonomous Vehicle Systems ​

​Sponsor: KEIT (Korea Evaluation Institute of Industrial Technology) through IAE
Total Project Dollars: $250,000
Investigators: Yafeng Wang, Chulho Yang and Huaxia Wang

Collaborative Research: Meta and multimodal learning for smart visual borescope inspection​

​Sponsor: OCAST​
Total Project Dollars: $996,531​
Dollars from Sponsor: $496,531​
Cost share by Baker Hughes: $500,00​0
Investigators: Huaxia Wang and Avimanyu Sahoo with Baker Hughes

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