Hello! I’m Jonas, an entrepreneur with a focus on AI and robotics. My passion lies in leveraging technology to create a better world.
I began my journey as a researcher at the General Motors Lab at Carnegie Mellon University and later as a research scientist at UPenn’s GRASP Laboratory under Professor Vijay Kumar. I left the pursuit of my PhD at UPenn to turn my research into reality, co-founding COSY Robotics with my advisor, Professor Kostas Daniilidis. During my tenure as COSY’s CEO, with support from 500 Startups, Intel Capital, and Great Point Ventures, we successfully deployed the first fleet of vision-only navigated robots in real-world environments through partnerships with companies like Walgreens, Home Depot, and ABinBev.
I’m honored to have received recognition from esteemed forums in the field, including the MIT Technology Review’s 35 Under 35 Award for pioneering technologists and LinkedIn’s NextWave Award for emerging entrepreneurs. Additionally, I hold several US patents in machine perception and robotics.
Currently, I serve as a co-founder of Rav.ai, the world’s first automated content generation platform for video. I also serve as an Entrepreneur-In-Residence at Purdue University’s DIAL Ventures and as a commercial advisor to Tetel.ai. I’ve played contribution or advisory roles at Northrop Grumman, Emergent Views, and Azavea. My primary interests lie in computer perception, generative AI, and mobile robotics.
PUBLICATIONS AND PATENTS (First and Anchor Author):
Jonas Cleveland, Dinesh Thakur, Philip M. Dames, Cody J. Phillips, Terry Kientz, Kostas Daniilidis, John Bergstrom, Vijay Kumar, Automated System for Semantic Object Labeling With Soft-Object Recognition and Dynamic Programming Segmentation. IEEE Trans. Automation Science and Engineering 14(2): 820-833 (2017)
J. Cleveland, D. Thakur, P. Dames, C. Phillips, T. Kientz, K. Daniilidis, J. Bergstrom, and V. Kumar, “An Automated System for Semantic Object Labeling with Soft Object Recognition and Dynamic Programming Segmentation,” in 2015 IEEE International Conference on Automation Science and Engineering, 2015. – “Best Application Finalist”
Automatic mapping of store layout using soft object recognition Patent number: 10991036
Automatic mapping of store layout using soft object recognition Patent: 10733661
Autonomous vehicle for mapping store layout Patent: 10318907