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July
@july
My favorite thing about robotics is how many disciplines it spans: - EE, power electronics - Custom PCB design/layout - Mechanical engineering, Mechatronics - If you're in aerospace, that's its own discipline - Same with Space systems - Systems engineering actually becomes important - Software: embedded software systems / design - Robotics algos: SLAM, motion planning, trajectory planning etc - Sensor implementations / understanding: sensor validation, bring up, etc - Real-time (hard / soft real time software systems) - EKF/UKF: Kalman filters, and filters for handling noise - OGFAI: search algos - Perception: edge perception models - Networking: routers, traffic handling, ip address assignement locally for multiple robots - Cloud infra: process sensor data, upload to cloud, explode the sensor data to make sense of what robots did - GCS: some sort of Ground Control Station (GCS) UI to actually understand what telemetry data they are doing in near real time - The new AI stuff: see below (ran out of room)
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Anuraj R
@anurajenp
I think I haven’t touched mechanics, aerospace and OGFAI in the list but I think I have built something using the rest in my tinkerings and career 😇
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