Dedid Cahya Happyanto

Papers

Total Citations

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About

Dedid Cahya Happyanto is a researcher focused on advancing mobile robotics and automation, with key contributions in indoor positioning systems and autonomous docking technologies. His most cited work, "AutoDock-IPS: An Automated Docking for Mobile Robot Based on Indoor Positioning System" (2021), addresses a critical challenge in robotics: extending operational autonomy through automated battery recharging. By developing an indoor positioning-based docking system, Happyanto eliminates the need for manual recharging, significantly enhancing robot uptime and reliability in real-world applications. This innovation supports the broader goal of minimizing human intervention in robotic systems, aligning with trends in smart manufacturing and service robotics. While his citation count is still growing, his work represents a practical step toward fully autonomous mobile robots. Happyanto’s research bridges the gap between theoretical positioning algorithms and tangible robotic functionality, offering a foundation for future advancements in automated logistics, warehouse management, and domestic robotics. His contributions underscore the importance of seamless human-robot interaction and energy management in sustainable robotic systems.