MEAM

Imperfect but useful dynamical models have enabled significant progress in planning and controlling robotic locomotion and manipulation. Traditionally, these models have been physics-based, with accuracy relying upon manual calibration only feasible in laboratory environments. As robotics expands into complex real-world applications, models must instead be automatically fit to limited data. One major challenge is modeling […]

A modular self-reconfigurable robot (MSRR) is a set of robotic building blocks that can be connected together in different ways. By rearranging these connections, the robot can adapt its shape to address a wider variety of tasks than a robot with a fixed morphology. However, traditional modular architectures fail to scale up to address large-scale […]