Papers
1
Total Citations
10
H-Index
1
About
Arnel Zamayla is a robotics researcher whose work focuses on autonomous decision-making and motion planning for multi-agent systems. His most cited paper, "Decision-making system of soccer-playing robots using finite state machine based on skill hierarchy and path planning through Bezier polynomials" (2018, 10 citations), introduces a novel framework that combines hierarchical finite state machines with Bezier polynomial-based path planning. This approach enables soccer-playing robots to dynamically balance offensive and defensive strategies while executing smooth, efficient trajectories. By structuring decision-making into skill hierarchies, Zamayla’s system allows robots to prioritize actions—such as scoring or blocking—based on real-time game states, significantly improving autonomous coordination. His work bridges the gap between low-level motion control and high-level strategic reasoning, offering a scalable model for robotic teams in dynamic environments. While his citation count reflects a focused, early-career impact, the technical depth of his contributions has influenced subsequent research in robot soccer and multi-robot coordination. Zamayla’s research is particularly valuable for students and engineers working on autonomous agents, providing a clear blueprint for integrating path planning with behavioral hierarchies in real-time systems.
Research Focus
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Top Papers
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