Teera Phatrapornnant

National Science and Technology Development Agency

Papers

Total Citations

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About

Teera Phatrapornnant is a researcher whose work lies at the intersection of swarm robotics and bio-inspired algorithms, with a particular focus on developing efficient solutions for multi-robot systems operating under resource constraints. Their most-cited paper, "Two foraging algorithms for a limited number of swarm robots" (2013), addresses a critical challenge in the field: how to achieve effective collective behavior—such as harvesting, mining, or search-and-rescue—when only a small team of robots is available. By drawing inspiration from the foraging strategies of ants, Phatrapornnant proposed algorithms that enable a limited number of agents to perform complex tasks typically requiring larger swarms. This work has garnered 5 citations, reflecting its niche but valuable contribution to practical swarm robotics. Phatrapornnant’s research is notable for bridging theoretical algorithm design with real-world constraints, offering scalable solutions that reduce hardware demands while maintaining performance. Their contributions are particularly relevant for students and engineers working on cost-effective robotic systems, demonstrating how biological principles can be adapted to overcome the limitations of small robot teams.