Muhammad Taufik
Papers
1
Total Citations
10
H-Index
1
About
Muhammad Taufik is a robotics researcher specializing in autonomous navigation, simultaneous localization and mapping (SLAM), and intelligent systems for healthcare applications. His most cited work, "Design of 2D LiDAR-based Indoor SLAM for Medical Robot Covid-19" (2021), addresses the urgent need for autonomous medical robots during the COVID-19 pandemic. By developing a 2D LiDAR-based SLAM system, Taufik enabled robots to create indoor maps and navigate hospital environments autonomously, reducing human contact and supporting physical distancing protocols. This contribution has garnered 10 citations, reflecting its relevance in pandemic-response robotics. Taufik’s research bridges robotics and healthcare, focusing on practical solutions for real-world challenges. His work on SLAM and autonomous navigation continues to influence the design of medical robots, with potential applications in hospitals, clinics, and other indoor settings. Through his innovative approach, Taufik has demonstrated how robotics can enhance safety and efficiency in critical healthcare scenarios, making him a notable figure in the field of medical robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Design of 2D LiDAR-based Indoor SLAM for Medical Robot Covid-1910 citations · 2021