M. Sakti Alvissalim

Papers

Total Citations

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About

M. Sakti Alvissalim is a researcher whose work sits at the intersection of robotic swarms, disaster response technology, and human-robot interaction. His most impactful contribution, "Swarm quadrotor robots for telecommunication network coverage area expansion in disaster area" (2012, 31 citations), addresses a critical real-world problem: the collapse of communication infrastructure during natural disasters in countries like Indonesia and Japan. By developing a swarm of quadrotor robots to create temporary, airborne communication networks, Alvissalim provided a practical, deployable solution for search and rescue operations. His research extends into intelligent sensing with "PSO Algorithm for Single and Multiple Odor Sources Localization Problems" (2016, 8 citations), which explores how robots can autonomously locate chemical sources—a capability vital for hazardous environment exploration. Demonstrating versatility, Alvissalim also advanced intuitive control interfaces in "Body gesture based control system for humanoid robot" (2012, 3 citations), achieving a remarkable 99.87% gesture recognition accuracy using a Fuzzy Neural Generalized Learning Vector Quantization algorithm. Through this body of work, Alvissalim has established himself as a researcher dedicated to making robots more autonomous, responsive, and useful in high-stakes, real-world scenarios.