Autonomous Systems Clinic

Students work collaboratively in small groups to engineer an autonomous system that performs a specified task. This includes carrying out steps such as: task analysis; proposing multiple solutions; feasibility analysis through prototyping and computer-aided design; detailed design, construction, and testing of the chosen solution; and demonstrating the solution in a proving ground. The lectures will cast content from the pre-requisite subjects into the context of the task at hand, as well as covering additional topics relevant to the task. Each student group is expected to demonstrate initiative and independence while pursuing the goal of designing and building their autonomous system, with a focus of the subject being that students learn through hands-on experience, implementation, and verification.

• 11. Devise, produce, and verify solutions to complex autonomous systems design problems, drawing upon the principles underpinning autonomous systems from areas such as embedded systems, control systems and signal processing
• 22. Apply established engineering design methods and systems-level thinking to the execution of an autonomous systems project
• 33. Contrast and integrate modern software frameworks for enabling autonomy of modern autonomous systems hardware
• 44. Apply systematic approaches to the management and execution of a complex engineering design project in a small team
• 55. Articulate and convey project framing and details through technical reports, presentations, and informational videos