Learn how to integrate components and modules from diverse engineering disciplines into cohesive and functional robotic systems.
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Prerequisites: Fundamental Electronics Programming Recommended courses from this series: Building Robots: Electrical Drives Building Robots: Sensors and Data Acquisition Building Robots: Communication Protocols and Hardware
Delft University of Technology is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).
Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…
Discover the captivating world of Robotics with this curated YouTube playlist. This collection features expert insights, educational content from reputable organizations, and engaging discussions that highlight the latest developments in the field.
Instructor: Russell Tedrake See the complete course at: http://ocw.mit.edu/6-832s09 Robots today move far too conservatively, using control systems that attempt to maintain full control authority at all times. Humans and animals move much more aggressively by routinely executing motions which invol…
Instructor: David Perreault View the complete course: https://ocw.mit.edu/courses/6-622-power-electronics-spring-2023 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP62UTc77mJoubhDELSC8lfR0 6.622 covers modeling, analysis, design, control, and application of circuits for energy c…
MIT 16.412J Cognitive Robotics, Spring 2016 View the complete course: https://ocw.mit.edu/16-412JS16 Instructor: MIT students This is an advanced lecture series from MIT 16.412 Cognitive Robotics of Spring 2016, led by MIT students. License: Creative Commons BY-NC-SA More information at https://ocw…
Harvard University · edX
Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.
