Papers
32
Total Citations
686
H-Index
10
About
Mohd Rizal Arshad is a prominent robotics and autonomous systems researcher whose work spans underwater robotics, mobile robot navigation, swarm intelligence, and intelligent sensing technologies. With a career dedicated to advancing robotic autonomy and efficiency, he has made significant contributions to both theoretical frameworks and practical applications across diverse environments. His most-cited work, a comprehensive review of coverage path planning in robotics (2021, 313 citations), has become a foundational reference for researchers tackling optimization challenges in mobile and industrial robot deployment. Complementing this, his explorations into swarm robotics behaviors and tasks (2021) reflect a sustained interest in decentralized multi-robot systems, an area he introduced to broader audiences through earlier publication trends in 2013. Arshad's research extends prominently into underwater systems, from vision-based target tracking in remotely operated vehicles to advanced sensor technologies for ocean exploration — work that helped lay groundwork for autonomous marine operations. His 2019 paper on underactuated nonlinear adaptive control for unmanned marine robotics further demonstrates his command of complex control theory. Additional contributions in impedance spectroscopy for agricultural robotics and FPGA-implemented neuro-fuzzy algorithms illustrate the impressive breadth of his expertise, making him a versatile and impactful figure in applied robotics research.
Research Focus
Key Achievements
Top Papers
- 1
- 2Assessment of quality of fruits using impedance spectroscopy63 citations · 2011
- 3Recent advancement in sensor technology for underwater applications56 citations · 2009
- 4Swarm Robotics Behaviors and Tasks: A Technical Review30 citations · 2021
- 5
- 6Review of MEMS flow sensors based on artificial hair cell sensor23 citations · 2011
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- 9
- 10An introduction to swarming robotics: application development trends10 citations · 2013