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Mathematical Sciences

Catching a falling patient with robotics

Date: 3:30pm - 4:30pm PST December 3, 2014 Location: John Howard 135

John Howard 135

Ido Shoshoni ’15

Honors Thesis talk

Computer Science Major


As the world population ages, we will need new solutions for home and medical care as the number of patients dramatically outpaces the amount of service available in those sectors. Working with a Rethink Robotics Baxter research model and a microsoft Kinect, we combine work in 3d depth cameras, falling algorithms, and robotics to catch a theoretical patient with stability issues. In particular, I go into detail of the pro’s and con’s of using a general purpose, relatively low-cost robot like Baxter for the delicate problem of catching a person.

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