  This research focuses on enabling Northeastern University's Husky, a
multi-modal quadrupedal robot, to navigate narrow paths akin to various animals
in nature. The Husky is equipped with thrusters to stabilize its body during
dynamic maneuvers, addressing challenges inherent in aerial-legged systems. The
approach involves modeling the robot as HROM (Husky Reduced Model) and creating
an optimal control framework using linearized dynamics for narrow path walking.
The thesis introduces a gait scheduling method to generate an open-loop walking
gait and validates these gaits through a high-fidelity Simscape simulation.
Experimental results of the open-loop walking are presented, accompanied by
potential directions for advancing this robotic system.
