A Review of Quadruped Robot Control and Perception Based on Augmented Reality

This article presents a systematic literature review on the control and perception of quadruped robots using augmented reality (AR), focusing on current approaches that enable the implementation of teleoperation systems and the limitations encountered during their development. The main objective is to evaluate the architectures and methods currently in use, as well as the solutions offered by AR when applied specifically to quadruped platforms. The review also addresses the shortcomings of conventional control methods in unstructured environments. Methodologically, the study was conducted following the PRISMA guidelines, covering indexed publications between 2018 and 2024. The findings indicate that AR integration significantly enhances operator immersion, facilitates teleoperation, and enables real-time feedback through spatial mapping and sensor visualization. Furthermore, the review highlights current challenges such as latency, co-localization errors, and cognitive overload, emphasizing the need for more ergonomic, adaptive, and intelligent interface designs in future implementations.