Kunnayut Eiamsa-ard

Carnegie Mellon University, Kasetsart University

Papers

Total Citations

168

H-Index

About

Kunnayut Eiamsa-ard is a roboticist and manufacturing researcher whose work bridges autonomous exploration and advanced additive manufacturing. His most influential contribution, the 2000 paper "Sensor-Based Exploration: Incremental Construction of the Hierarchical Generalized Voronoi Graph" (160 citations), introduced a pioneering method for robots to incrementally build roadmaps of unknown environments. This work enables robots to navigate and understand their surroundings in real time, laying foundational groundwork for autonomous exploration and path planning in robotics. Eiamsa-ard also made notable contributions to manufacturing processes. His 2006 paper on "Spiral-Like Path Planning Without Gap for Material Deposition Processes" (6 citations) advanced contour-parallel deposition strategies, improving efficiency in additive manufacturing and CNC machining. Additionally, his 2001 work on "Skeleton-based Geometric Reasoning for Adaptive Slicing in a Five-axis Laser Aided Manufacturing Process System" (2 citations) addressed surface quality and build time challenges in multi-axis laser cladding, a key additive manufacturing technique. Through these contributions, Eiamsa-ard has demonstrated a unique ability to apply geometric reasoning and sensor-based algorithms to both robotic exploration and precision manufacturing, impacting how robots perceive unknown spaces and how complex parts are built layer by layer.