Intelligent Robotics

The age of the robot is here. 

The modern science of robotics has evolved from ancient myths and prescient imaginings; fantasies today have become facts, stories have turned into science, and robotics is no longer a figment of our imagination but a critical academic discipline, one to which nearly every industry and research field is turning for the essential assistance only an intelligent machine can provide. 

Embraced in theory and practice, computer science faculty create a hands-on learning environment focusing on intelligent robotics to solve real-world problems. Students will be conducting research and applying the latest advances in artificial intelligence to help solve real-world problems in psychology, engineering, education, the arts, and healthcare. 

Students entering this field are at the forefront of a revolution in technology, redesigning the fundamental framework of industrial production and reimagining the complex dynamics of human/machine relationships by mastering the programming and production of increasingly intelligent machines to work alongside people in industries, factories, and homes. 


Deep Steer

Deep learning—which uses artificial neural networks that imitate the way the human brain works—is on the very cutting edge of artificial intelligence, with a potential that promises to change the way we solve the real-world problems. 

Deep Steer capitalizes on this new machine learning. Students participating in this research experience will employ highly sophisticated algorithms and generative AI tools that allow vehicles to self-steer in a manner that transcends previous attempts at achieving autonomous transportation. Deep steering research will advance us towards the long-sought goal of the truly driverless car.



From the earliest hand signals to the most modern remote tools, the evolution of the automobile has been accompanied by sophisticated methods that empower motorists to communicate with the outside world.

V2X (Vehicle to Everything) is the boldest and most complete development towards such a goal. It is a vehicular communication system that allows connections to be created to any and all relevant entities—such as other vehicles, pedestrians, devices, networks, and infrastructure—promising to revolutionize road safety, traffic efficiency, energy conservation, and the creation and implementation of self-driving vehicles.


Software Engineering for Robotics

As robots become more ubiquitous throughout industry, there are expanded roles and responsibilities for the software designers who control and automate them.

Robotics software engineers use sophisticated coding language and tools within the middle ware such as ROS (Robot Operating System) framework to create control and operating software for robots. They implement and improve programs, create trouble-shooting tests to ensure operational efficiency & reliability, and create user interfaces to allow a variety of stakeholders to interact with the robot in meaningful & user-friendly ways. The ultimate goals of software engineering for robotics projects are to enhance productivity and quality.



The evolving relationship between man and intelligent machines—there is perhaps no area of engineering or contemporary field of endeavor as likely as this one to inspire ingenuity and capture imagination.

Human-Robot Interaction focuses on the possibilities and challenges inherent to humanity’s ever-expanding use of robots. From facial recognition technology to the control of autonomous vehicles with human body gestures, eye movements, or brain waves, specialists in this field are mapping a bold and exciting new territory.


Collaborative Robotics

Robots working in close proximity to humans is an inevitability that becomes more apparent every day. As they increasingly share our space, they also share our professional responsibilities. It is apparent that they are becoming the co-workers of our collective future.

Students participating in this research will be developing future applications using these cobots and emerging technologies, maintaining fidelity to safety standards and respect for the sensibilities of their human creators, and exploring the limits of what these amazingly capable machines can do.



Can today’s creation be tomorrow’s caretaker? Can machine intelligence be enlisted in the service of tending to humanity’s greatest and most profound needs?

In a dynamic problem-based environment, students will push the boundaries of computer science, conducting authentic research experiments with the purpose of developing intelligent robots and smart systems for medical, nursing, healthcare, and eldercare applications.

Our People

Academic Team


CJ Chung


Eric Martinson