Muhammad Ikhsan Sani
Papers
8
Total Citations
34
H-Index
4
About
Muhammad Ikhsan Sani is an emerging robotics researcher whose work spans two dynamic and technically demanding domains: autonomous underwater vehicles (AUVs and ROVs) and intelligent robotic systems for competitive and domestic applications. His research has made meaningful contributions to the development of practical solutions in robot navigation, computer vision, and power systems engineering. Sani's most recognized work includes a computer vision-based ball detection system for wheeled soccer robots (2018, 8 citations), demonstrating his ability to translate complex perception algorithms into real-world robotic applications. His investigations into remotely operated vehicles (ROVs) are particularly prolific, covering depth control using single cameras and sonar altimeters, as well as the design of optimized electrical power control systems — all critically important for reliable underwater operation. His 2020 study on single-camera depth control garnered 6 citations alongside his ROV power system paper, reflecting sustained community interest in his underwater robotics contributions. Beyond underwater systems, Sani has explored autonomous floor-cleaning robot navigation and high-voltage kicker mechanisms for competitive soccer robots. With a cumulative citation count approaching 35 across just eight papers, his work reflects a productive early career bridging academic research and engineering competition, making him a promising voice in applied robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Single camera depth control in micro class ROV6 citations · 2020
- 3
- 4
- 5Navigation system for smartphone-based autonomous underwater vehicle3 citations · 2017
- 6A Blue Robotic Sensor for Tech_SAS v1 ROV Depth Controller2 citations · 2019
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- 8