About: Jay M. Wong is an entrepreneur and roboticist whose vision is to enable technology to be more widespread and accessible to humanity. Wong, a Top 50 Tech Visionary awardee, co-founded Southie Autonomy, where he leads engineering on the company’s flexible industrial robot system—a system that empowers the average person to instantly reconfigure automation via an ease-of-use software interface and AI.
Wong worked as a robotics scientist at Draper and held visiting scientist roles at MIT and Harvard University, where he served as an autonomy expert on a large research project to mature autonomous mobile manipulation. He led Draper’s cloud robotics research initiative and development on the robotics system named KUKA Innovation Award Finalist. Prior, he was at NASA and UMass Amherst, his alma mater, where he was named Bay State Fellow and two-time OAA Outstanding Achievement awardee.
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- Co-Founder at Southie Autonomy Works (2017-)
- Robotics Scientist at Draper & Visiting Scientist at MIT, Harvard University (2016-2017)
- M.S. in Computer Science, University of Massachusetts Amherst, (2014-2016)
- B.S. in Computer Science and Mathematics, magna cum laude, University of Massachusetts Amherst, (2011-2014)
- 2017/12/11 – Left Robotics Scientist position at Draper.
- 2017/08/30 – Our team has been selected as a KUKA Innovation Award: Real-world Interaction Challenge Finalist!
- 2016/11/01 – My robot project proposal has been down selected out of 125 submissions for a big multi-million dollar internal research initiative as part of the Draper DFY17 IR&D process!
- [Literature/Poetry] — I am an author of multiple books, poems, philosophical monologues, and plays; A poem a day posted on Instagram (2018); Lastly, this poetry collection contains 349 poems, with over 100K readers.
Robotics is an integrated science. My expertise is in building full-stack robotic systems (spanning perception, planning, and control modules) on real hardware (i.e. physical systems prone to uncertainty, memory, networking, and performance problems) using state-of-the-art algorithms from industry and academia. My goal is to enable autonomous robots to act intelligently (to robustly and adaptively solve tasks by reasoning about and manipulating entities) in the complex and unstructured world, in which we as humans live. As part of the Draper–MIT–Harvard research initiative, a system I led the development on was named a finalist for the KUKA Innovation Award.