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Faculty Director

Raymond J. Gorte, PhD

Dan Lee

Director, GRASP
Professor
Electrical and Systems Engineering (ESE)

Education: 1995 Ph.D. in Condensed Matter Physics, Massachusetts Institute of Technology; 1990 AB, Harvard University.

Dan's research focuses on applying knowledge about biological information processing systems to building better artificial sensorimotor systems that can adapt and learn from experience. Drawing from the ways in which biological systems compute and learn, Dan and his lab look at computational neuroscience models, theoretical foundations of machine learning algorithms, as well as constructing real-time intelligent robotic systems, with an ultimate goal of making machines that better understand what we want them to do.

Links: Email | Full Profile

Robotics Master's Program

The master's program in Robotics is a unique program administered by Penn's General Robotics, Automation, Sensing and Perception (GRASP) Laboratory, recognized as one of the nation's premier research centers. Multi-disciplinary in scope, the program provides an ideal foundation for what today's experts in robotics and intelligent systems need to know — from artificial intelligence, computer vision, control systems, dynamics, and machine learning to design, programming and prototyping of robotic systems.

Research in Robotics includes independent and group-oriented machines

Program Highlights: Opportunities for research projects in robotics and related fields in the world-famous GRASP Lab; participation in exciting competitions such as the international RoboCup soccer tournament; weekly GRASP seminars; and professional networking with peers in industry and academe.

dividing line

Grounded in up-to-the minute research findings, the MSE in Robotics offers an ideal foundation for a successful career in robotics, defense, aerospace, and automotive industries, government agencies, or academe.

Robotics MSE Curriculum

Students must complete a total of ten courses comprised of four core and six electives. Core courses cover the following fields:

  • Robotics and Animation
  • Control Systems Design
  • Computer Vision
  • Machine Learning

Sample electives include:

  • Learning in Robotics
  • Vision and Learning
  • Hybrid Systems
  • Motion Planning
  • Mechatronics
  • Biomechanics

For more detailed information, watch the video or visit the MSE in Robotics website.