Poedjadevie Kadjel Ramkisoen

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About

Poedjadevie Kadjel Ramkisoen is a researcher advancing the field of autonomous robotics and intelligent systems, with a focus on enhancing the navigation and coordination of Autonomous Guided Vehicles (AGVs). Her key research areas include software agent integration, ultra-wideband (UWB) technology, and indoor localisation for mobile robots. In her highly cited 2022 work, "Enhancing Autonomous Guided Robots using Software Agents and UWB Technology," she explores how combining software agents with UWB-based positioning can significantly improve the precision and adaptability of AGVs in manufacturing environments. This contribution addresses critical challenges in industrial automation, such as real-time localisation and flexible path planning, offering a scalable solution for smart factories. With 4 citations for this foundational paper, her work is gaining recognition among researchers in robotics and industrial engineering. Ramkisoen’s research bridges the gap between theoretical multi-agent systems and practical robotic applications, making her a notable voice in the ongoing evolution of autonomous manufacturing technologies. Her achievements underscore a commitment to creating more intelligent, responsive, and efficient robotic systems for the industry.