Orlando Gani Sahroni

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About

Orlando Gani Sahroni is a robotics researcher specializing in autonomous navigation, multi-robot coordination, and artificial potential field (APF) methods for dynamic environments. His most-cited work, "Implementation of Robot Navigation Based on Artificial Potential Field for a Four Omni-directional Soccer Robot" (2024), addresses a critical challenge in the Indonesian Robot Contest (KRI): enabling wheeled soccer robots to navigate collision-free while pursuing strategic goals. By adapting APF algorithms for omni-directional platforms, Sahroni’s system balances goal attraction with obstacle repulsion, directly improving compliance with contest rules that penalize collisions. This contribution has practical implications for real-time robot control in competitive, high-speed scenarios, earning recognition within the national robotics community. Though his citation count is currently modest (1 citation), his work lays groundwork for safer, more agile autonomous systems in constrained arenas. Sahroni’s research bridges theoretical path planning and applied robotics, offering a scalable solution for multi-agent environments. His achievements highlight a commitment to advancing Indonesian robotics education and competition, inspiring students to integrate control theory with hardware implementation.