Industrial engineering

In the future, warehouse robots will learn on their own

Jeff Mahler and Ken Goldberg working with their gripping robot in the AutoLab

9/12/2017 New York Times - Robotics researchers in Berkeley Engineering's AUTOLAB are using neural networks and machine learning to teach robots to grab things they have never encountered before — a remarkable achievement that could drive significant changes for some of the world's biggest businesses.

Pieter Abbeel and Michael Jordan join IEOR

Pieter Abbeel and Michael Jordan

8/24/2017 - Berkeley Engineering professors Pieter Abbeel and Michael Jordan, both experts in machine learning, have been appointed as joint faculty in IEOR in addition to their primary appointments in EECS (and Statistics for Jordan).

New alt.meat lab aims to win over meat lovers

UC Berkeley students Joshua Nixon and Kimberlie Le serving their plant-based fish product to Christie Legally, senior scientist at the Good Food Institute

8/23/2017 - The Sutardja Center is launching a new Alternative Meats Lab to give students a leg up on a trillion-dollar market opportunity: transforming the meat industry. The lab at Berkeley will use the latest technology tools and techniques to engineer plant-based meat alternatives.

Can artificial intelligence fly a plane?

Launching an autonomous glider guided by artificial intelligence in the Nevada desert

8/17/2017 New York Times - IEOR professor and roboticist Ken Goldberg discusses the problems of robots and uncertainty: getting machines to mimic the way humans intuitively plan for their next action and deal with events they’ve never before experienced.

Meet the most nimble-fingered robot yet

Berkeley robot practices picking up awkward and unusual objects.

5/25/2017 MIT Technology Review - A dexterous multi-fingered robot, developed by IEOR professor Ken Goldberg and his team, practiced by using virtual objects in a simulated world, showing how machine learning and the cloud could revolutionize manual work.

IEOR grad student finds short proof for long route

Mark Velednitsky and the 28 pages of proof replaced by his one-page solution

5/25/2017 - Graduate student Mark Velednitsky has reduced a 28-page proof for the classic traveling salesman problem to just a few lines, which will make it far more accessible to future IEOR students.