News & Events

01-18-18

Caltech and Disney Research have entered into a joint research agreement to pioneer robotic control systems and further explore artificial intelligence technologies. Pietro Perona will work with Disney roboticist Martin Buehler to create navigation and perception software that could allow robotic characters to safely move through dense crowds and interact with people. Aaron Ames will work with Disney Research's Lanny Smoot to further explore robot autonomy and machine learning by creating objects that can self-navigate and perform stunts. Yisong Yue has been working with engineers from Disney Research on the use of machine learning to analyze the behavior of soccer players and to measure audience engagement. [Caltech story]

Tags: EE research highlights MCE CMS Pietro Perona Yisong Yue Aaron Ames

05-09-17

Computer science and mechanical engineering student Kun ho (John) Kim is a recipient of the 2017 Henry Ford II Scholar Award. John is working with Professors Burdick and Perona to develop novel machine learning methods for medical applications and crowd sourced data mining. The Henry Ford II Scholar Award is funded under an endowment provided by the Ford Motor Company Fund. The award is made annually to the engineering student with the best academic record at the end of the third year of undergraduate study.

Tags: honors MCE CMS Henry Ford II Scholar Award Pietro Perona Joel Burdick Kun ho (John) Kim

05-01-17

On April 19, 2017 Electrical Engineering alumnus Evangelos Simoudis (BS '83) moderated a panel titled "The Road Ahead: A Panel on the Future of Driverless Vehicles," hosted by the Caltech Associates. The panel members were Professors Mory Gharib, Richard Murray, and Pietro Perona, along with Reuters automotive industry reporter, Paul Lienert. They discuss a variety of opportunities and challenges associated with autonomous technologies and systems. Beyond the legal and ethical challenges, several technological obstacles must be overcome before driverless cars become common on the road. One key challenge is teaching driverless cars how to read the behavior of other cars and react accordingly. Professor Perona described the problem of a car attempting to merge onto a crowded freeway. A driverless car would see an impenetrable wall of vehicles, but a human driver could edge forward and wave at other drivers to work his or her way into the line of traffic. [Caltech story]

Tags: EE GALCIT CMS Morteza Gharib Pietro Perona alumni Richard Murray Evangelos Simoudis Paul Lienert