Faiz Risi

Universitas Batam

Papers

1

Total Citations

3

H-Index

1

About

Faiz Risi is a robotics researcher whose work centers on autonomous navigation and obstacle avoidance systems for mobile robots. His most cited paper, "Obstacle Avoidance System Using LiDAR on Robot Turtlebot3 Burger" (2023), demonstrates a practical application of LiDAR technology on the widely-used Turtlebot3 Burger platform, a standard ROS-based robot from Robotics Corporation. This research contributes to the development of delivery robot prototypes and educational robotics, addressing real-world challenges in autonomous movement and collision prevention. With 3 citations, his work has gained recognition for its hands-on approach to integrating sensor systems with open-source robotics platforms. Risi's contributions are particularly valuable for students and researchers working with affordable, accessible robotics hardware, as his findings provide a replicable framework for implementing obstacle avoidance in small-scale autonomous systems. His focus on the Turtlebot3 Burger—a common learning tool in robotics curricula—underscores his commitment to bridging theoretical concepts with practical, deployable solutions in the field of mobile robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Obstacle Avoidance System Using LiDAR on Robot Turtlebot3 Burger
3 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universitas Batam

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago