SAR's research agenda is broad by design. We study the engineering, policy, and human dimensions of autonomous systems in the open forum of a student design team.
Every member of the team contributes across at least one of these themes. The specifics of any given platform or deployment are held internally. What is public is the shape of the questions we ask.
How do you design, build, and maintain field-capable autonomous systems inside the constraints of a student design team? We treat engineering as a first-class research question, not a checkbox on the way to deployment.
The debate around autonomous systems is moving faster than regulation can keep up with. We study where the standards, norms, and public expectations around field robots need to evolve, and we participate in the conversation through writing, panels, and collaboration with MSU faculty.
Autonomy is a relationship, not a product. We look at how operators, teammates, and surrounding communities should experience a capable robot, and what breaks when those relationships are designed poorly.
Our engineering practice is simulation-first. Every behavior is validated virtually before a component of it touches a physical system. Simulation is where our research fails cheaply, so that deployment succeeds reliably.
SAR collaborates with MSU faculty across engineering, computer science, and the humanities. We welcome structured conversations with researchers, practitioners, and partner organizations whose questions overlap with ours. Internal technical work remains internal.