208: What If You Had a Machine Do It

Embedded.fm · 27 Jul 2017 · 49m · Episode 208

What this episode covers

Elecia White discusses her project to build a typing robot named 'Ty' using an Nvidia Jetson TX2 and a MeArm kit, explaining the intersection of machine learning and robotics. She details the challenges of inverse kinematics, the Law of Cosines, and the decision to abandon Robot Operating System (ROS) due to its complexity and dependency issues. White also covers the use of OpenCV for laser tracking, the computational limits of retraining neural networks, and her plans for future reinforcement learning integration.

Mentioned

Companies
Hackaday, SupplyFrame DesignLab, LA CrashSpace
Products
MeArm
Chips
Nvidia Jetson TX2, Adafruit PCA9685
Tools
Robot Operating System, OpenCV, TensorFlow, Weka
Also
Andrew Ng, Patrick Pilarski

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