  Our goal in this work is to expand the theory and practice of robot
locomotion by addressing critical challenges associated with the robotic
biomimicry of bat aerial locomotion. Bats wings exhibit fast wing articulation
and can mobilize as many as 40 joints within a single wingbeat. Mimicking bat
flight can be a significant ordeal and the current design paradigms have failed
as they assume only closed-loop feedback roles through sensors and conventional
actuators while ignoring the computational role carried by morphology. In this
paper, we propose a design framework called Morphing via Integrated Mechanical
Intelligence and Control (MIMIC) which integrates small and low energy
actuators to control the robot through a change in morphology. In this paper,
using the dynamic model of Northeastern University's Aerobat, which is designed
to test the effectiveness of the MIMIC framework, it will be shown that
computational structures and closed-loop feedback can be successfully used to
mimic bats stable flight apparatus.
