Topan Try Harmanda

Papers

Total Citations

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About

Topan Try Harmanda is a robotics researcher focused on advancing multi-robot coordination and agricultural automation. His primary research areas include task allocation, swarm intelligence, and indoor localization for mobile robots. Harmanda’s most significant contribution is his investigation of Particle Swarm Optimization (PSO) for real-world multi-robot task allocation, demonstrating how a swarm-inspired algorithm can efficiently distribute agents to targets—a foundational problem in robotics with 5 citations. He also developed a seed-planter wheeled robot prototype (3 citations), addressing the labor-intensive nature of large-scale agriculture by automating seed planting to improve efficiency. Additionally, Harmanda advanced localization techniques by implementing a trilateration algorithm for E-Puck2 robots (2 citations), enabling precise indoor positioning critical for multi-robot systems. His work bridges theoretical optimization and practical deployment, with hands-on implementations using E-Puck platforms. By tackling both industrial and agricultural challenges, Harmanda showcases the versatility of swarm robotics, making his research valuable for students and engineers exploring autonomous systems, multi-agent coordination, and field robotics.