Augustus
@augustus-caesar
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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) 3 replies
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