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IEOR Impact
How does IEOR impact the world?
Below are stories that show how faculty, students, and alumni are applying their knowledge with industrial engineering and operations research.
New machine learning technique may help prevent blindness for millions of people with diabetes
Diabetic retinopathy (DR) is the most common cause of vision loss among people with diabetes and a leading cause of blindness. Right now, there are an estimated 415 million people suffering from diabetes worldwide, and this number is projected to grow to 642 million by 2040. Approximately one-third of diabetic patients have DR. While blindness…
Artificial intelligence could identify you and your health history from your step tracker
by Anil Aswani & Yoshimi Fukuoka (originally published in USA Today) Manufacturers say data stripped of identifying information is no privacy risk. But we found AI can overcome that. Time to update health privacy laws. Recent revelations about how social media giants misuse our personal data for profit have elevated the issue of privacy among Americans, but what…
New ambidextrous robot may redefine the warehouse
Research published in Science Robotics this week announced a new “ambidextrous” robot that could change the fundamentals of warehouse distribution. The robot, developed by researchers at the University of California, Berkeley’s Laboratory for Automation Science and Engineering features a suction cup gripper on one hand and a parallel-jaw gripper on the other, allowing the robot to choose the most…
AUTOLAB research featured in New York Times
The UC Berkeley Laboratory for Automation Science and Engineering (AUTOLAB) was featured in the New York Times today for its research on robotic grasping. The article featured AUTOLAB’s Dex-Net robot which can pick up and sort objects that it has never encountered before using machine learning and neural network algorithms. “What you really want is…
Professor Goldberg Receives Chancellor’s Faculty Award For Research In The Public Interest
Professor Ken Goldberg was awarded the Chancellor’s Award for Faculty Research in the Public Interest. Prof. Ken Goldberg and a team of postdoctoral, graduate and undergraduate students have spent the last four years to develop the Collaborative Assessment and Feedback Engine (CAFE). CAFE team members include: Brandie Nonnecke, Postdoc, CAFE Team Program Manager, CITRIS and the…
AUTOLAB creates most dexterous robot yet
Prof. Ken Goldberg, PhD student Jeffrey Mahler, and researchers at the Laboratory for Automation Science and Engineering (AUTOLAB) have just created the most dexterous robot in existence. Version 4.0 of the Dex-Net robot (more about 3.0 here) uses a 3D sensor and has two arms to grasp with, one with a gripper and the other with…
The Hidden Social Mission Driving This Cal Alumna’s Trending Toy Startup
Last week, there was an unusual sight in UC Berkeley’s Industrial Engineering 185 course: stuffed animals. The toys, called Animoodles, put an innovative twist on the traditional plushie. As students passed them around the class, they found that hidden magnets allowed them to pop off each toy’s head or limbs and mix and match parts with…
How Flight Simulation Tech Could Help Turn Robots Into Surgeons
While the use of robots in surgery has come a long way with the advent of the da Vinci Surgical System. However, current technology still requires a human mind to operate successfully. The most difficult aspect of building a self sustaining surgical robot is creating a robot with the ability to respond to its changing environment.…
IEOR alum and former White House Deputy CTO Ryan Panchadsaram talks to students about civic service and fostering curiosity
Students in the A. Richard Newton Lecture Series attended a fireside chat last week with Cal alumni and Kenneth Priestly Leadership Award recipient Ryan Panchadsaram. Since graduating ten years ago, Panchadsaram’s career has taken him many different places, from working at Microsoft to launching his own healthcare startup to advising the president of the United States. During his talk,…