Pakpoom Kriangkomol

Papers

Total Citations

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About

Pakpoom Kriangkomol is a researcher whose work sits at the intersection of human-robot interaction and autonomous systems, with a particular focus on improving drone teleoperation in challenging, three-dimensional environments. His most cited paper, "Adaptive View Management for Drone Teleoperation in Complex 3D Structures" (2017, 19 citations), tackles a critical bottleneck in unmanned aerial vehicle (UAV) control: the difficulty of navigating drones through confined, obstacle-rich spaces like building interiors or tunnels. Kriangkomol’s key contribution lies in developing an adaptive view management system that dynamically adjusts the operator’s perspective to reduce occlusion and prevent collisions—a significant advance over traditional fixed-camera setups. This work directly addresses the cognitive load and spatial awareness challenges that plague drone pilots in complex structures. While his citation count is modest, the research is notable for its practical, user-centered approach to a real-world problem, bridging the gap between teleoperation theory and field deployment. For students and researchers, Kriangkomol’s work offers a compelling case study in how thoughtful interface design can unlock the full potential of robotic systems in high-stakes, visually constrained environments.