QTOS: An Open-Source Quadruped Trajectory Optimization Stack

Skoutnev, Alexy, Cinar, Andrew, Sigdel, Praful, Laine, Forrest

arXiv.org Artificial Intelligence 

Abstract-- 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. Figure 1: Trajectory generated by the QTOS local planner In this paper, we introduce the Quadruped Trajectory while performing a climbing task.

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