Robotics at UCLA

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With 11 separate laboratories pursuing cutting-edge work, UCLA is a leader in robotics research and education.  UCLA robotics faculty are working in mechanical and aerospace engineering, computer science, statistics, electrical engineering, and architecture and urban design, developing devices for healthcare, industry, aerospace, public safety, home use and more while training students to be tomorrow’s robotics leaders.

Recent News

May 2016
Give a Robot a Fish | Daily Bruin Prime
The Daily Bruin’s Prime magazine features the UCLA Center for Vision, Cognition, Learning and Autonomy, led by Professor Song-Chun Zhu. The labs is exploring natural language processing or NLP – to train computers to understand human text and language.

April 2016
Humanoid Nature | UCLA Magazine
The robots of UCLA’s Robotics and Mechanisms Laboratory are designed for serious jobs, but their creators have a lot of fun.

February 2016
Rise of the Robots | PBS Nova
Fueled by an ambitious DARPA challenge, the race is on to design a robot that can replace humans in disaster relief situations.

July 2015
THOR kicks to the top of robot soccer | UCLA Newsroom
UCLA/UPenn team takes top prize at 2015 RoboCup in China.

June 2015
UCLA’s humanoid robot flexes its muscles at international competition | UCLA Newsroom
Professor Dennis Hong and a team of students competed with their humanoid robot to build a robot that can go places humans cannot.

May 2015
Up Close With the ‘BairClaw’ Robot Hand | PC Mag
PCMag visited UCLA’s Biomechatronics Lab for a look at its advancements in prosthetic limbs.

February 2015
Can modern prosthetics actually help reclaim the sense of touch? | PBS Newshour
Prosthetic limbs have long been clunky, acting more as appendages than extensions. But modern technology is now helping amputees rediscover their sense of touch. Miles O’Brien, who lost his own arm in an accident last year, takes a look at new advances in the field.

May 2014
Computers See Your Face as a Child: Will They Recognize You as an Adult? | The Atlantic
As facial recognition systems improve, they will get better at identifying people at different ages, even very young children.