Zackory Erickson

Research Scientist at Carnegie Mellon University

Pittsburgh, Pennsylvania, United States
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Summary

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Zackory Erickson is a tenure-track Research Scientist and Assistant Professor in the Robotics Institute at Carnegie Mellon University, where he leads the Robotic Caregiving and Human Interaction (RCHI) Lab. He develops foundational machine learning, control, and multimodal sensing methods to enable physical human-robot interaction, focused on robotic caregivers that help older adults and people with disabilities live more independently. With a PhD in Robotics from Georgia Tech under Charlie Kemp and over a decade of research experience, he bridges rigorous academic work and applied assistive systems. His work uniquely pairs perception-driven learning with control for safe, assistive manipulation in real-world settings. Based in Pittsburgh, he combines hands-on robotics experimentation with a clear societal mission to reduce the burden on human caregivers.
code11 years of coding experience
bookDoctor of Philosophy (PhD), Robotics, Doctor of Philosophy (PhD), Robotics at Georgia Institute of Technology
bookBachelor’s Degree, Computer Science, Mathematics, Bachelor’s Degree, Computer Science, Mathematics at University of Wisconsin-La Crosse
languagesChinese, English
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Stackoverflow

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Github Skills (31)

simulation10
robotics10
simulation-framework10
generative-adversarial-network10
mnist10
keras9
tailwindcss8
visual-effects7
collision-detection7
stochastic-processes6
classification6
dm6
gaussian-processes6
imaging6
bayesian-statistics6

Programming languages (3)

C++HTMLPython

Github contributions (5)

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Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.
Contributions:2 releases, 102 commits, 101 pushes in 1 year 7 months
roboticssimulation-frameworkassistive-roboticsphysics-simulationsimulation
gt-rad/learning-forces

Feb 2017 - May 2017

Contributions:5 commits, 4 pushes, 1 branch in 3 months
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