Viam
Khari Jarrett is a Robotics Engineer specializing in Computer Vision. With a background in Computer Engineering and Mathematics, as well as a PhD in Computer Engineering, Khari has conducted research in computer vision, machine learning, and deep learning. Khari has experience as a Graduate Student Researcher at Thayer School of Engineering at Dartmouth, an Electronic Design Automation Intern at IBM, and a Robotics Instructor at ESF Dream Camp Foundation. Their passion lies in finding inexpensive techniques for multiple object tracking in video.
Viam
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Robotics has the potential to do so much good, but progress has been slowed by complicated hardware and software integrations, long development cycles, and people's fear of tripping over a robot on their way to work. At Viam, we’re addressing these issues by building a novel robotics platform that relies on standardized building blocks rather than custom code to create, configure and control robots quickly and intuitively. We’re empowering engineers - aspiring and experienced - across industries to solve complicated automation problems with our innovative and developer-friendly software tools.