Nabill bin Lokman

Tun Hussein Onn University of Malaysia

Papers

1

Total Citations

3

H-Index

1

About

Nabill bin Lokman is a researcher whose work centers on embedded systems, autonomous robotics, and FPGA-based control architectures. His most-cited paper, “Autonomous Lawnmower using FPGA implementation” (2016), introduces a robot designed to operate in environments where human intervention is impractical, leveraging FPGA technology for real-time decision-making and control. This work, with 3 citations, exemplifies his focus on creating intelligent, self-navigating systems that combine hardware acceleration with autonomous behavior. Lokman’s contributions lie in demonstrating how field-programmable gate arrays can enable efficient, low-latency processing for robotic tasks such as path planning and obstacle avoidance, offering a scalable approach to autonomous outdoor machinery. His research bridges the gap between theoretical embedded design and practical deployment, with implications for agricultural and domestic automation. While his citation count is modest, his work represents an early exploration into FPGA-driven autonomy, a niche that has since gained traction in robotics. For students and researchers, Lokman’s project serves as a foundational example of how reconfigurable hardware can be harnessed to build responsive, self-sufficient robots, highlighting the potential for further innovation in cost-effective autonomous systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Autonomous Lawnmower using FPGA implementation.
3 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Tun Hussein Onn University of Malaysia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago