Announcing the 2021 Robotics Outreach Ambassadors

August 31, 2021

Robotics can inspire, and we can leverage that power to create more roboticists, keep the public properly informed on its future, and ensure robotics meets our vision of a field that improves society.

To do much of this outreach, we rely on our students. These students find time among classes and research to meet with children, middle and high schoolers, prospective graduate students and faculty, local and national community members, and media. The students present their work, run classes and demonstrations, and build up our own community–activities that bolster the culture and values of the University of Michigan Robotics Institute.

Wami Ogunbi explains the latest robots to visitors after the first Robotics Colloquium organized by Andrea Sipos and Michael Gonzalez with the Robotics Student Graduate Council.
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Building the basics in ROB 103: Robotic Systems

May 10, 2021

Students in the new ROB 103: Robotic Systems course came in with a range of prior knowledge, from zero previous robotics exposure to participating in robotics teams in high school. However, all the first-year students completed labs on manufacturing, CAD, 3D printing, electronics, and control.

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Michigan, Ford open world-class robotics complex

March 18, 2021

As robots and autonomous systems are poised to become part of our everyday lives, the University of Michigan and Ford Motor Company are opening a one-of-a-kind facility where they’ll develop robots and roboticists that help make lives better, keep people safer and build a more equitable society.

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Now available: Robotics 101 online

December 22, 2020
Robot standing in lidar waves

A pilot course for an undergraduate robotics curriculum at the University of Michigan, Robotics 101: Computational Linear Algebra, is now available for free online. All lectures, notes, projects, and the textbook can be accessed on GitHub and YouTube.

The course is meant to inspire and welcome students to learn key mathematical concepts that can immediately be applied to hands-on, interesting engineering problems, such as building a map from LiDAR data and balancing a Segway.

“Linear algebra has become the language of computer vision, machine learning, robotics, and autonomy,” said Professor Jessy Grizzle, Director of Michigan Robotics.

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