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Chris McKinnon

Machine Learning and Robotics Engineer, Trimble Autonomous Solutions

Chris McKinnon is a Controls Engineer at Oxa, based in Toronto, Ontario, Canada. He previously worked as a Machine Learning and Robotics Engineer at Applanix Corporation from October 2019 to February 2024.1

McKinnon has a strong background in robotics and machine learning, with a focus on improving autonomous systems. He holds a Ph.D. in Aerospace, Aeronautical and Astronautical Engineering from the University of Toronto, which he completed in 2019.1 His doctoral research focused on leveraging machine learning to enhance path-following control for ground robots operating in changing conditions.1

During his time at Applanix Corporation, McKinnon worked on improving LiDAR SLAM performance as an aiding source for INS systems, tackling problems such as object detection and tracking, semantic mapping, and place recognition.1 He developed prototypes in Python and C++, implemented real-time code in C++, and mentored new employees and interns.1

McKinnon's academic background includes:

  • Ph.D. in Aerospace, Aeronautical and Astronautical Engineering from the University of Toronto (2015-2019)
  • Master's degree in Aerospace Science and Engineering from the University of Toronto (2013-2015)
  • Bachelor's degree in Engineering Science, Aerospace from the University of Toronto (2009-2013)1

His research work has contributed to the field of safe learning control for robotics, as evidenced by his publications on experience-based model selection for long-term, safe control2 and learning multimodal models for robot dynamics.3

Highlights

Chris McKinnon - Boston Public Schools
Chris McKinnon - Boston Public Schools
Nov 18 · queensu.ca
Alumni | Offroad Robotics - Queen's University
[PDF] Vendor Performance Tracking Report

Related Questions

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Chris McKinnon
Chris McKinnon, photo 1
Chris McKinnon, photo 2
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Location

Greater Toronto Area, Canada