Trice Dayrit

Papers

Total Citations

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About

Trice Dayrit is a researcher at the forefront of human-robot interaction, with a particular focus on mixed reality (MR) applications for remote manipulation. Their most notable contribution is the development of the ARSIS system, culminating in the 2023 paper "Mixed Reality Applications for Manipulating Robots and Rovers: ARSIS 6.0," which explores how augmented reality interfaces can enhance teleoperation tasks—enabling operators to intuitively control rovers and robotic arms in complex, unstructured environments. This work bridges the gap between virtual overlays and physical robot control, offering a safer, more efficient alternative to traditional joystick-based methods. While their citation count is still growing, Dayrit’s research is foundational in the emerging field of MR-assisted robotics, with potential applications in space exploration, disaster response, and industrial automation. Their iterative approach to system design—evolving ARSIS through multiple versions—demonstrates a commitment to practical, user-centered innovation. For students and researchers interested in the intersection of computer vision, robotics, and human factors, Dayrit’s work provides a compelling case study in how immersive technologies can transform how we command machines from a distance.