Embodied computation
Which decisions can be made by mechanism shape, spring behavior, or contact geometry?
Research agenda
How much useful behavior can be designed into a machine’s geometry, materials, and mechanisms before software has to intervene?
Kyle’s central research interest is mechanical intelligence: the use of physical form, compliance, underactuation, passive dynamics, cams, linkages, and material behavior to perform functions that might otherwise demand additional sensing, computation, or control complexity.
The aim is not to reject electronics. It is to assign each part of a system the kind of work it performs best—creating robots that are more affordable, understandable, repairable, and resilient.
Read the research directionLines of inquiry
The work moves between historical mechanisms, modern robotics, rapid prototypes, and measurable performance.
Which decisions can be made by mechanism shape, spring behavior, or contact geometry?
Can underactuation and modular construction make expressive humanoid research platforms substantially cheaper?
What can medieval and Renaissance automata teach contemporary roboticists about compact mechanical programming?