Simulation and virtual systems
Simulated circuits, digital robots and virtual environments help you inspect behavior, repeat experiments and test conditions that would be difficult to reproduce physically. Simulator choice, version, compute needs and course setup will be specified for an intake.
Recorded data and reproducible experiments
Sensor logs, images, telemetry and curated datasets support repeatable experiments. Learners record dataset provenance, assumptions and evaluation limits. An outcome obtained from recorded data should not be presented as a live physical demonstration.
Physical platforms, with confirmed access
The curriculum includes embedded boards, drones, mobile robots, quadrupeds, humanoid systems and manipulation. These are learning directions, not a confirmed inventory. The particular platform, learner access time, supervision and operating environment must be confirmed for each physical delivery.
Before choosing an intake
Ask which activities are simulated and which use physical equipment; whether access is individual or shared; what software and compute are included; and how practical work will be assessed. Hardware purchase is not implied by a course listing.
Bounded, supervised operation
Physical work needs platform-specific limits, a suitable environment and supervised procedures. Drone and autonomous-system course descriptions do not establish permission for outdoor flight or public-road operation. The course-specific practical plan defines the permitted environment and required preparation.