Introduction to Systems Engineering (EGRMGMT 590/ME 555):

Introduction to the theory, principles, and methods used to conceive, design and analyze systems. Focus areas include problem identification, description, modeling and simulation, design, test and evaluation issues, as well as more broad lifecycle concerns.

Human Robot Interaction (ME 555):

Introduction to the theory, principles, and methods used to conceive, design and analyze automated, autonomous or robotic systems that require or support human interaction. Such systems include healthcare, manufacturing, all forms of transportation, as well as other systems with embedded autonomy like financial trading and process control. Focus areas include understanding the theory and mechanics of both human and computer perception and cognition, the design of interaction architectures such as teleoperation and human supervisory control, and how to conduct principled tests and experiments. Prerequisite: Graduate student standing with priority given to those students enrolled in Duke Robotics.

Human Factors Engineering (ME 555):

This course is designed to provide students with a fundamental understanding of human factors that must be taken into account in the design and engineering of complex systems. The primary focus is the derivation of human engineering design criteria from sensory, motor, anthropometric and cognitive sources to include principles of displays, controls and ergonomics, manual control, the nature of human error, basic experimental design, and human-computer interaction. Open to graduate students and undergraduates with junior or senior standing.

Duke Robotics

The Duke Robotics group was established in 2014 to encompass the significant and growing robotics community at Duke. It is a cross-disciplinary association of research labs and teaching faculty spanning three departments (CS, ECE, and MEMS) and two schools (Pratt and Trinity) on Duke University campus. Its founding was due to an effort led by the Pratt School of Engineering and Department of Computer Science to grow Duke's offerings in robotics research and education.

Our mission is to conduct world-class research and teaching to train future generations of thinkers and creators in robotics.  We do so by drawing from our breadth of expertise, which ranges from mechanical design, to artificial intelligence and algorithms, to the social implications of robotics.