Dr. Aaron Johnson

Professor

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Biography

Aaron Johnson is a Professor in the Department of Electrical and Computer Engineering and Robotics Institute at Carnegie Mellon University. He received his Bachelor of Science in Electrical and Computer Engineering from Carnegie Mellon in 2008 and completed his Ph.D. in Electrical Systems Engineering at the University of Pennsylvania in 2014. Following his doctoral work, Johnson became a postdoctoral fellow at the Personal Robotics Lab within the Robotics Institute at CMU. His research focuses on the design of intelligent interactions between robots and their environments, particularly in real-world applications including novel robot design, behavior and controller design, and the dynamics of robot operation in challenging contexts. His work has been recognized in various prestigious publications and he has received several awards, including the NSF CAREER Award and the Young Investigator Award from the Army Research Office. Johnson has also contributed significantly to student education and outreach in robotics, cultivating interest in engineering among younger students through various initiatives.

Research Interests

Experience

Professor

2014-01-01 — Present

Carnegie Mellon University • Pittsburgh, PA

Professor in the Department of Electrical and Computer Engineering and Robotics Institute, focusing on robotics and intelligent interactions.

Awards

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NSF CAREER Award

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Young Investigator Award

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Student Paper Finalist

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Climbing and Walking Robots Conference Award

Requirements for Carnegie Mellon University

Doctorate Program
Requirements
GPA Requirement
Required:3.5
GRE General
Verbal
Required:158
Quantitative
Required:149
Analytical Writing
Required:4
Overall
Required:4
Prerequisites
Bachelor's degree in Psychology or related field Research experience/publications
Application Checklist
  • Online application
  • Statement of Purpose
  • Three letters of recommendation
  • Transcripts
  • GRE scores (optional but reported in profile)
  • English Proficiency (TOEFL/IELTS/Duolingo)
Specialization Notes

Admission is extremely competitive with no strict GPA cut-offs; holistic review is used.