Dr. Siddhartha Srinivasa

Professor

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Biography

Siddhartha Srinivasa is a full-stack roboticist and professor at the University of Washington. He founded the Personal Robotics Lab in 2005, which has since cultivated over 100 alumni that progressed to prestigious institutions and companies like Boston Dynamics and Google. His contributions span robotic manipulation and human-robot interaction, for which he is recognized as an IEEE Fellow. His research engages with advanced algorithms such as CBiRRT, CHOMP, and others to build sophisticated end-to-end systems, including projects like HERB, ADA, and CHIMP. His work has garnered back-to-back paper awards at ICAPS in 2018 and 2019. Beyond academia, he played a pivotal role in Amazon's Robotics AI Organization and joined Cruise as a Distinguished Engineer, directing efforts in scaling self-driving car technology worldwide. He is passionate about STEM education and engaging with a broad audience about robotics, and in his spare time, he enjoys tennis and has captained sports teams during his academic tenure.

Research Interests

Experience

Professor

2017-01-01 — Present

University of Washington • Seattle, WA, USA

Full professor specializing in robotics and human-robot interaction, leading research projects and supervising graduate students.

Distinguished Engineer

2022-11-01 — Present

Cruise • San Francisco, CA, USA

Focusing on motion planning and control in the deployment of self-driving technology.

Requirements for University of Washington

Master Program
Requirements
GPA Requirement
Required:3
TOEFL
Total
Required:80
IELTS
Overall
Required:6.5
Duolingo
Overall Score
Required:105
Overall
Required:105
Prerequisites
Bachelor's degree from a regionally accredited college or university
Application Checklist
  • Online application
  • Transcripts
  • Statement of Purpose
  • Letters of Recommendation
  • Resume/CV
  • English proficiency scores (for international students)
Specialization Notes

Standard Graduate School requirements for University of Washington apply to most departments listed unless specified otherwise by the program.