Automation/Autonomous Systems

Unmanned Vehicle Systems, Robotics, Artificial Intelligence, Machine Learning, Computer Vision, Assistive Technologies, Flight Dynamics and Control, Human-Computer Interfaces

Research Highlights

Assessing workers' physical, cognitive and collaborative skills

A UTA computer scientist is developing a smart, robot-based system that assesses workers' physical, cognitive and collaborative skills while they perform simulated manufacturing tasks, focusing on the best ways to train and prepare workers, both with and without disabilities, for the industry of the future, where a worker has to safely and efficiently collaborate with advanced robots.

Developing an airborne network computer platform for UAVs

A UTA electrical engineering developing a networked airborne computing platform for multiple unmanned aerial systems that will enable the use of networked UAVs for civilian applications such as intelligent transportation, emergency response, infrastructure monitoring and agriculture.

Better performance of autonomous vehicles

A team of UTA electrical engineers is working to improve control of networked convoys of autonomous vehicles and those operated by humans.

Collecting data for agriculture

A team of UTA researchers is using unmanned aerial vehicles to take images of agricultural fields while collecting a large amount of data that will help farmers to know ground moisture levels and crop growth.

New approach for earlier detection of Alzheimer"s

A UTA computer scientist is using machine learning to develop a novel deep learning technique that uses algorithms that mimic the structure and function of neural networks in the brain to create a deep learning pipeline that can lead to a new convolution neural network for graph classification.

Better coordination and communication among unmanned aerial vehicles

A UTA electrical engineer is working to understand how to build networks that consider both control and communication needs would increase efficiency, reduce throughput requirements and improve network management capabilities.

Superior sensing in robots

A UTA computer scientist is working to enhance the perception capabilities of robots by processing 3D point cloud data captured from low-cost sensors.

Resources

Center for Assistive Technologies to Enhance Human Performance (iPerform)

Collaborative research between university and industry researchers to increase, maintain or improve the functional capabilities of people with disabilities and enhance the productivity of well-bodied people.

Radio Frequency and Auto Identification Labs

Research into use cases and cybersecurity of RFID systems, including healthcare applications, smart hospitals, logistics and supply chain management, and manufacturing and asset tracking.

Dynamic Networks and Control Lab

Cyber-physical systems research to dynamic network and control applications. Includes various UAV, UGV, hominoid, and control system fabrication platforms.

Guidance and Control of Autonomous Systems Lab

Multiple motion-capture cameras for UAV tracking, indoor testing and evaluation of UAVs.

Robotic Vision Lab

Computer vision applied to robotics and automation. Includes a variety of state-of-the-art machines, sensors, and robot platforms.

Human-Data Interaction Laboratory

Motion capture facility to record human behaviors such as motion, facial expression, and eye movements, and produce 3D animations.

Manufacturing Automation and Robotic Systems Lab

Resources relating to robotics, manufacturing and automation and controls.

UTA Research Institute (UTARI)

  • Autonomous Systems Laboratory - High-bay testing and staging area for robotics and aerial and ground vehicles. Includes a 22-camera Vicon motion-capture camera system, ground vehicles (DR Robot Jaguars, Clearpath Husky), air vehicles (3D Robotics X-8 Multicopter, Parrot AR Drone quadcopters, DJI S1000 Octocopter with Pixhawk Autopilot) and multiple sensor packages (sonar, lidar, vision).
  • Robotics Laboratory - Service robotics development and testing. Includes a mock apartment with common appliances, Willow Garage PR2 humanoid robot, and a Rethink Robotics Baxter humanoid robot with Clearpath mobile base.
  • Manufacturing Automation Laboratory - Systems for automation and manufacturing process research.

Related Faculty

Ishfaq Ahmad, Ph.D., Computer Science and Engineering

Ishfaq Ahmad, Ph.D.

Computer Science and Engineering 

 

Kambiz Alavi, PH.D. 

Kambiz Alavi, Ph.D.

Electrical Engineering 

 

Vassilis Athitsos, PH.D.

Vassilis Athitsos, Ph.D.

Computer Science and Engineering 

 

William Beksi, Ph.D., Computer Science and Engineering

William Beksi, Ph.D.

Computer Science and Engineering 

 

Animesh Chakravarthy, PH.D Mechanical and Aerospace Engineering

Animesh Chakravarthy, Ph.D.

Mechanical and Aerospace Engineering 

 

Chris Conly, Ph.D., Computer Science and Engineering

Chris Conly, Ph.D.

Computer Science and Engineering 

 

Gautam Das, Ph.D., Computer Science and Engineering

Gautam Das, Ph.D.

Computer Science and Engineering 

 

Ali Davoudi, Ph.D., Electrical Engineering

Ali Davoudi, Ph.D.

Computer Science and Engineering 

 

Ramez Elmasri, Ph.D., Computer Science and Engineering

Ramez Elmasri, Ph.D.

Computer Science and Engineering 

 

Nick Fang, PH.D. 

Nick Fang, Ph.D.

Civil Engineering 

 

Jean Gao, Ph.D., Computer Science and Engineering

Jean Gao, Ph.D.

Computer Science and Engineering 

 

Shawn Gieser, Ph.D., Computer Science and Engineering

Shawn Gieser, Ph.D.

Computer Science and Engineering 

 

Vamsikrishna Gopikrishna, Computer Science and Engineering

Vamsikrishna Gopikrishna, Ph.D.

Computer Science and Engineering 

 

Junzhou Huang, Ph.D., Computer Science and Engineering

Junzhou Huang, Ph.D.

Computer Science and Engineering 

 

Manfred Huber, PH.D. 

Manfred Huber, Ph.D.

Computer Science and Engineering 

 

Brian Huff, PH.D 

Brian Huff, Ph.D.

Industrial, Manufacturing and Systems Engineering 

 

Mohammad Islam, Ph.D., Computer Science and Engineering

Mohammad Islam, Ph.D.

Computer Science and Engineering 

 

Sungyong Jung, Ph.D., Electrical Engineering

Sungyong Jung, Ph.D.

Electrical Engineering 

 

Farhad Kamangar, Ph.D., Computer Science and Engineering

Farhad Kamangar, Ph.D.

Computer Science and Engineering 

 

Won Hwa Kim, Ph.D., Computer Science and Engineering

Won Hwa Kim, Ph.D.

Computer Science and Engineering 

 

Frank Lewis, Ph.D., Electrical Engineering 

Frank Lewis, Ph.D.

Electrical Engineering 

 

Chengkai Li, Ph.D., Computer Science and Engineering

Chengkai Li, Ph.D.

Computer Science and Engineering 

 

Pengfei "Taylor" Li, Civil Engineering

Pengfei "Taylor" Li, Ph.D.

Civil Engineering

 

Ramtin Madani, Ph.D., Electrical Engineering

Ramtin Madani, Ph.D.

Electrical Engineering 

 

Fillia Makedon, Ph.D., Computer Science and Engineering

Fillia Makedon, Ph.D.

Computer Science and Engineering 

 

Chris McMurrough, Ph.D., Computer Science and Engineering

Chris McMurrough, Ph.D.

Computer Science and Engineering 

 

Shirin Nilizadeh, Ph.D., Computer Science and Engineering

Shirin Nilizadeh, Ph.D.

Computer Science and Engineering 

 

Habeeb Olufowobi, Computer Science and Engineering

Habeeb Olufowobi, Ph.D.

Computer Science and Engineering 

 

Chenyun Pan, Ph.D., Electrical Engineering

Chenyun Pan, Ph.D.

Electrical Engineering 

 

Deokgun Park, Ph.D., Computer Science and Engineering

Deokgun Park, Ph.D.

Computer Science and Engineering 

 

Jay Rosenberger, Ph.D., Industrial, Manufacturing and Systems Engineering

Jay Rosenberger, Ph.D.

Industrial, Manufacturing and Systems Engineering 

 

Ioannis Schizas, Ph.D., Electrical Engineering

Ioannis Schizas, Ph.D.

Electrical Engineering 

 

Panos Shiakolas, Ph.D., Mechanical and Aerospace Engineering

Panos Shiakolas, Ph.D.

Mechanical and Aerospace Engineering 

 

Kamesh Subbarao, Ph.D., Mechanical and Aerospace Engineering 

Kamesh Subbarao, Ph.D.

Mechanical and Aerospace Engineering 

 

Cesar Torres, Ph.D., Computer Science and Engineering

Cesar Torres, Ph.D.

Computer Science and Engineering 

 

Yan Wan, PH.D. 

Yan Wan, Ph.D.

Electrical Engineering 

 

David Wetz, Ph.D., Electrical Engineering

David Wetz, Ph.D.

Electrical Engineering 

 

Dajiang Zhu, Ph.D., Computer Science and Engineering

Dajiang Zhu, Ph.D.

Computer Science and Engineering 

 

YingYing Zhu, Computer Science and Engineering

Yingying Zhu, Ph.D.

Computer Science and Engineering