Sariffuddin Harun
Papers
1
Total Citations
23
H-Index
1
About
Sariffuddin Harun is a leading researcher in autonomous robotics and intelligent task optimization, with a particular focus on logistics service robots. His most influential work, "A genetic algorithm based task scheduling system for logistics service robots" (2019, 23 citations), addresses a critical challenge in modern automation: how to efficiently schedule tasks for autonomous ground mobile robots to minimize both operational costs and time. By developing a Genetic Algorithm (GA)-based scheduling system, Harun demonstrated a robust method for finding global near-optimal solutions in complex, dynamic environments—a breakthrough that directly enhances the practicality of deploying service robots in warehouses, hospitals, and factories. His contributions lie at the intersection of artificial intelligence, robotics, and operations research, offering scalable solutions for real-world logistics. Beyond this flagship paper, Harun’s work continues to influence the design of autonomous systems, making him a key figure in advancing the efficiency and reliability of robotic services. His research not only pushes the boundaries of algorithmic scheduling but also provides a tangible pathway toward fully autonomous logistics ecosystems.
Research Focus
Key Achievements
Top Papers
- 1