Jennifer King is a robotics engineer and Ph.D. candidate at Carnegie Mellon University with 13 years of experience applying planning and manipulation research to real robots and commercial automation. She specializes in planning for manipulation in clutter using nonprehensile interactions, demonstrating algorithms on HERB and adapting those planners for planetary rovers through a NASA Space Technology Research Fellowship. At Berkshire Grey she brings research-grade manipulation and AI techniques to large-scale fulfillment systems, bridging lab prototypes and production robotics. Her background spans research scientist and software engineering roles at Lockheed Martin and Northrop Grumman, giving her deep systems and fielded-robotics experience beyond academia. Based in Pennsylvania, she combines rigorous academic training with practical deployment know-how and a focus on expanding robot-environment interaction capabilities.
13 years of coding experience
8 years of employment as a software developer
Bachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Carnegie Mellon University
Master’s Degree, Robotics, Master’s Degree, Robotics at University of Pennsylvania
Contributions:1 release, 44 commits, 3 PRs in 1 year 2 months
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