Paper ID: 2309.09058

QTOS: An Open-Source Quadruped Trajectory Optimization Stack

Alexy Skoutnev, Andrew Cinar, Praful Sigdel, Forrest Laine

We introduce a new open-source framework, Quadruped Trajectory Optimization Stack (QTOS), which integrates a global planner, local planner, simulator, controller, and robot interface into a single package. QTOS serves as a full-stack interface, simplifying continuous motion planning on an open-source quadruped platform by bridging the gap between middleware and gait planning. It empowers users to effortlessly translate high-level navigation objectives into low-level robot commands. Furthermore, QTOS enhances the stability and adaptability of long-distance gait planning across challenging terrain.

Submitted: Sep 16, 2023