Program Objectives

The program will:

establish a foundation for the modeling and analysis of robotic systems, including robot geometry, kinematics and dynamics.
provide students with hands-on exposure to programming, testing, measuring, and deploying robotic systems, through relevant lab exercises and research opportunities.
equip students with the skills needed to specify a suite of actuators, sensors, algorithms, and computing resources for a robotic system required by a real-world engineering task.
introduce the typical system architectures used in the successful deployment of real-world robots, including the control systems, perceptual algorithms, and motion and task planning algorithms required.
discuss the many commercial, industrial, and societal applications influenced by robotics in the 21st Century, and the roles of robotics engineers in these sectors.
illustrate the many ways in which robots can provide an effective physical embodiment for modern advances in artificial intelligence and machine learning.
prepare students effectively for the modern workforce which increasingly demands multi-disciplinary training, including experience in embedded systems and software, for all engineering jobs involving the design and implementation of robotics systems.

Program Outcomes

The program’s graduating students will be in a strong position to grow technically as well as in the management track. This is supported by the breadth of hands-on laboratory experiences, acquired in-depth knowledge, and cutting-edge research experiences attainable while attending the Masters of Engineering in Robotics program at Stevens. The highest-achieving graduates will establish a strong foundation for future career growth in the robotics sector.

By the time of graduation, students will be able to:

use modeling, analysis, and design principles, capture the needs of the customer and translate them into a specification for a high-performance robotic system.
understand the sensing, actuation, algorithmic, and computing requirements of a desired robot task or operational scenario, and select as well as implement appropriate sensors, actuators, and embedded and/or networked computing resources.
use state-of-the-art simulation tools to model, analyze, predict, and optimize the performance of robotic systems in the early stages of research and development.
evaluate accuracy, precision, energy consumption, and economics of the teleoperated, automated, and autonomous operation of robotic systems.
apply human factors principles in the design and control of robotic systems that are supervised, operated by, or worn by humans.

Master of Engineering in Robotics

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General

Requirements and Concentrations