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Welcome to the Master of Science in Robotics Program (MSR)The Master of Science in Robotics (MSR) program at Northwestern University is a one-year, interdepartmental graduate program that equips engineers with the tools to work in the rapidly growing field of robotics. The Robotics program bridges the knowledge and experience gap between an undergraduate engineering degree and a successful career in the exciting field of robotics. Each year, Northwestern welcomes a diverse group of talented students into this competitive cohort-style program, creating a creative and collaborative environment.
The interdepartmental nature of our program exposes students to a broad range of engineering and other disciplines, preparing them for a diverse set of career options.
It takes a different way of thinking to connect disparate fields, put big ideas into action, solve global problems, and imagine whata€™s next. This kit contains four each of 12 activities and is designed to be a comprehensive study of Robotics. In keeping with the new National Science Standards of effective teaching, this kit provides weeks of concentrated study. Strictly hands-on, many of the activities are full-scale controlled experiments following the Scientific Method. Absolutely everything needed for the activities is in the plastic storage bin, and each activity is individually bagged and tagged. At the conclusion of the kit, all students may log-on and take a test to receive a diploma from the Academy of Science for Kids.
This science kit is aligned with the National Science Standards and is developed by a Member of the National Science Teacher's Association. Robotics is one of those universal topics that every student should have the opportunity to explore and Academy of Science for Kids makes learning about Robotics cool and easy!

The tutor approves the student's choice of Core Courses and advises in the choice of the Elective Courses, thus ensuring that their individual requirements and interests can be followed. During the application phase, the Master student must select an authorized faculty member working in the desired area of specialization to be their academic tutor.
From the view of mechanics we push the frontiers of Soft Robotics, a young research field dedicated to understanding the advantages of completely soft robots. From the view of Robotic Grasping we need to avoid formulating the grasping problem on a level above the mechanical description, to be able to increase morphological complexity to yield a simpler higher-level model.
To bootstrap robots with novel grasping strategies, we also look at already proficient graspers and manipulators: adult humans.
Besides these core research topics, I am also interested in the interaction of acting and sensing and the ramifications on the concept of representation. Clemens Eppner and Raphael Deimel and Jose Alvarez-Ruiz and Marianne Maertens and Oliver Brock. Raphael Deimel and Clemens Eppner and Jose Alvarez-Ruiz and Marianne Maertens and Oliver Brock. Students enter the program with a variety of professional and educational backgrounds, but they typically have undergraduate degrees in traditional, robotics-related majors such as Mechanical Engineering, Electrical Engineering, Biomedical Engineering, and Computer Science. Some students plan on seeking a robotics-focused job in industry, some are planning on utilizing their MSR experience as a transition into robotics-related PhD research, and others have entrepreneurial plans. The aim of the tutor system is to help create an individualized curriculum for the student and to provide one-to-one support: it ensures a top-class, specialized education which takes into account the student's talents and expectations. On the other hand, algorithms based on mechanical simulation aren't often applied to actual robot systems although these models have been around for a long time, sometimes for decades.

The hands are made from soft, deformable materials, provide compliant motion and complex, nonlinear deformations. Integral to this research is the development of manufacturing methods of highly structured but soft artefacts, which are lagging far behind those of traditional rigid-bodied robotics in terms of accessibility and commercial availabillty.
We investigate a possible representation using concepts such as Shape Adaptation and Environmental Constraints: Both describe patterns of interaction with real objects that are facilitated by compliant fingers and hands. Many students come directly from undergraduate programs, but it is not uncommon for students to join after amassing years of work experience in a range of industries.
In addition to industry networking and internship opportunities available through enrollment in this program, all students have access to Northwestern's robust Career Services.
Tutors coach their students throughout the program, monitoring their progress and proposing any necessary adjustments required to enhance their performance.
Unfortunately, it seems, the approach of simulating on the mechanical level to find and optimize grasps seems to run into the curse of dimensionality, aggravated by the highly nonlinear behavior of collisions and contacts. Instead of viewing them as an obstacle to avoid we view them as helpful structures whose nonlinear interaction behavior (i.e. These conditions resemble the state of the art of robot perception much better than unimpaired, attentive grasping, and our research indicates that humans not only apply different grasping strategies, but that humans seek collisions with (what we call) environmental constraints.

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