Dr. Ronald Fearing

Professor

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Biography

Ronald Fearing is Professor Emeritus in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He joined the faculty in January 1988 and has had a rich career in research and teaching. His current research focuses on milli-robotics, including flying and crawling milli-robots, and efforts in parallel nano-grasping and micro-assembly techniques such as gecko adhesion. Fearing has contributed to advancements in tactile sensing, teleaction, and dextrous manipulation methodologies. He has a notable academic background, having obtained his Ph.D. in Electrical Engineering from Stanford University in 1988 and his S.B. and S.M. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology in 1983. Throughout his career, he has received numerous awards, including the prestigious Presidential Young Investigator Award in 1991 and the Bakar Fellows Spark Award in 2023. Fearing is also a co-inventor on 21 international patents, demonstrating his innovative contributions to the field. He is actively engaged in various research projects and has published numerous articles in reputable conferences and journals, showcasing his ongoing commitment to advancing knowledge in robotics and engineering.

Research Interests

Experience

Professor Emeritus

1988-01-01 — Present

University of California, Berkeley • Berkeley, CA, USA

Served as a Professor in the Department of Electrical Engineering and Computer Sciences, engaging in advanced research and mentoring students.

Awards

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Presidential Young Investigator Award

1991-01-01
#

Bakar Fellows Spark Award

2023-01-01

Requirements for University of California, Berkeley

Doctorate Program
Requirements
GPA Requirement
Required:3
GRE Subject
Overall Score
Required:500
Overall
Required:500
TOEFL
Total
Required:90
IELTS
Overall
Required:7
Prerequisites
Bachelor's degree or recognized equivalent Preparation comparable to undergraduate major at Berkeley in Mathematics or Applied Mathematics 2 full years lower-division work (Calculus, Linear Algebra, Differential Equations, Multivariable Calculus) 8 one-semester upper-division courses (Real Analysis, Complex Analysis, Abstract Algebra, Linear Algebra)
Application Checklist
  • Graduate Application
  • Statement of Purpose
  • Personal History Statement
  • Three Letters of Recommendation
  • Unofficial Transcripts
  • C.V./Resume
  • Course and Textbook List
Specialization Notes

The Mathematics Subject GRE is required for the Fall 2026 admissions cycle. General GRE is optional.