Daniel Ruelas

Papers

Total Citations

H-Index

About

Daniel Ruelas is a robotics researcher whose work centers on advancing human-robot interaction through immersive teleoperation systems. His primary research areas include service robotics, mixed reality interfaces, and remote manipulation, where he explores how to seamlessly integrate human cognitive skills with robotic precision. Ruelas’s most notable contribution is his pioneering work on teleoperated service robots enhanced by immersive mixed reality interfaces, as detailed in his 2021 paper, which has garnered 4 citations. This research addresses a critical challenge in robotics: improving communication efficiency between human operators and remote robots to enable more complex and precise task execution. By leveraging immersive interfaces, Ruelas demonstrates how operators can achieve superior situational awareness and control, significantly boosting system performance in real-world applications. His work stands out for its practical approach to bridging the gap between human expertise and robotic capabilities, offering a scalable solution for industries requiring remote intervention. Ruelas’s contributions are particularly impactful for students and researchers interested in the intersection of virtual reality, teleoperation, and service robotics, providing a foundation for future innovations in human-robot collaboration.