Ken Goldberg
Professor Ken Goldberg and AUTOLAB Win IEEE CASE Best Paper Award
IEOR Professor Ken Goldberg and UC Berkeley’s AUTOLAB have done it again! The prestigious IEEE Conference on Automation Science and Engineering (CASE) recently awarded its Best Paper Award to Goldberg and his team (M. Preston, R. Parikh, S. Aeron, S. Mukherjee, S. Adebola. S. Sharma, M. Theis, and W. Teitelbaum) for their impactful research, Automated…
Read MoreKen Goldberg featured on NPR Marketplace Tech on how robots can help with supply chain issues this holiday season
With ongoing shortages of workers, supplies, products and materials, it may be tough for consumers to get their gifts in time for the holiday season. Can new robotic technology developed by Berkeley IEOR and Professor Ken Goldberg help consumers receive their gifts on time? In an interview on NPR’s Marketplace Tech podcast, Ken Goldberg, IEOR…
Read MoreNAE interview: Why Ken Goldberg loves art, engineering, and robots
Ken Goldberg and UC Berkeley researchers teach a robot surgery by showing it surgery videos
A Human and AI hybrid approach for complex AI-based Conversational Commerce
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…
Read MoreProf. Goldberg invited to speak at NSF Engineering Directorate Advisory Board
Professor Goldberg will be speaking at the 2018 Fall Directorate for Engineering (ENG) Advisory committee (AdCom) meeting, sponsored by NSF. Professor Goldberg’s talk is titled “Are Artificial Intelligence and Robots a Threat… or an Opportunity?” He will further discuss the pros and cons of a future with AI. AdCom advises the Directorate for Engineering (ENG) on issues…
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