Jennifer King

Robotics Engineer at Berkshire Grey

Pennsylvania, United States
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Summary

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Senior
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Top School
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.
code13 years of coding experience
job8 years of employment as a software developer
bookBachelor’s Degree, Computer Science, Bachelor’s Degree, Computer Science at Carnegie Mellon University
bookMaster’s Degree, Robotics, Master’s Degree, Robotics at University of Pennsylvania
languagesEnglish
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Github Skills (35)

robotics10
robot-control10
perception10
motion-planning10
ros10
artificial-intelligence9
python9
ompl8
chomp7
urdf7
occlusion6
linux6
algorithms6
rviz5
collision5

Programming languages (3)

C++ShellPython

Github contributions (5)

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personalrobotics/tsr

Nov 2014 - Jul 2016

Python Library for using Task Space Regions
Contributions:35 commits in 1 year 8 months
pythonmotion-planningtask-space-regions
personalrobotics/benchmarks

Oct 2014 - Dec 2015

Contributions:1 release, 44 commits, 3 PRs in 1 year 2 months
benchmarkingbenchmarkperformancebenchmarksmeasure
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