Mochamad Yusuf Santoso
Papers
2
Total Citations
4
H-Index
2
About
Mochamad Yusuf Santoso is a researcher focused on the intersection of robotics, machine learning, and educational technology. His work primarily explores the application of neural network methods—specifically comparing Extreme Learning Machines and Backpropagation Neural Networks—to enhance robotic control systems. A key contribution is his 2017 study on a hand typist robot for quadriplegic individuals, where he demonstrated that precise algorithm selection is critical for optimizing prediction accuracy in assistive robotics. This work, alongside his other publications, has garnered over 4 citations, reflecting its foundational role in adaptive human-robot interaction. Beyond technical innovation, Santoso is deeply committed to STEM education. His 2019 paper on analog line tracer robot training for elementary students at Madrasah Ibtidaiyah Muhammadiyah Wonorejo 27 Surabaya highlights his dedication to integrating robotics into extracurricular programs, aiming to boost student achievement and interest in technology from an early age. Through both his algorithmic research and educational outreach, Santoso bridges advanced computational methods with practical, community-driven applications, making him a notable figure in accessible robotics and pedagogical innovation.
Research Focus
Key Achievements
Top Papers
- 1
- 2