Syamsul Rizal
Papers
2
Total Citations
5
H-Index
2
About
Syamsul Rizal is a robotics researcher focused on advancing autonomous navigation for multi-robot systems, particularly Automated Guided Vehicles (AGVs). His key research areas include vision-based control, fuzzy logic systems, and multi-robot coordination. Rizal's major contribution lies in developing cost-effective navigation solutions using inverted camera setups, where a Pixy2 CamCMU5 vision sensor mounted on the ceiling tracks robot positions from above. This innovative approach reduces the need for expensive onboard sensors, making multi-robot systems more accessible. His 2022 paper on "Design of Multi Robot AGV Prototype Maneuver Control Based on Inverted Camera" (3 citations) demonstrates a prototype achieving reliable control with a one-meter camera-to-target height. A follow-up study on "Fuzzy Logic Control for Modeling Multi Robot AGV Maneuver Based on Inverted Camera" (2 citations) further refines maneuver modeling, addressing challenges like cost and complexity in multi-robot coordination. Though early in his citation impact, Rizal's work offers a practical, low-cost pathway for scalable AGV systems, with potential applications in warehouse automation and industrial logistics. His research stands out for its clever use of inverted vision to simplify multi-robot navigation.
Research Focus
Key Achievements
Top Papers
- 1
- 2