Christopher Geyer

Christopher Geyer is a Vice President and Fellow at Berkshire Grey. Geyer has spent almost 20 years leading aggressive technology development based on leading-edge research to deliver practical solutions for the real-world. He has deep technical expertise in computer vision, machine perception, autonomy, and unmanned systems and has deployed technology on more than a dozen unmanned systems. Chris was a member of the winning DARPA Urban Challenge team (self-driving car competition) at Carnegie Mellon University and has published results that have become textbook computer vision material. Chris’ publications have been cited over 4,000 times and he has a record of results spanning industry and product application to R&D. Prior to Berkshire Grey, Chris was the perception leader at iRobot contributing to products and new technology, a scientist at Carnegie Mellon University, and a scientist at Berkeley. Chris has a B.SE. and a Ph.D. in computer science from the GRASP Lab at the University of Pennsylvania. For his PhD thesis, he was awarded the Morris and Dorothy Rubinoff Award for innovative applications of computer technology.