Hassrizal Hassan Basri
Papers
1
Total Citations
9
H-Index
1
About
Hassrizal Hassan Basri is a researcher whose work lies at the intersection of mobile robotics and intelligent control systems, with a particular focus on enabling safe and efficient navigation in unpredictable settings. His most cited work, "Dynamic obstacle avoidance approach for car-like robots in dynamic environments" (2012, 9 citations), tackles a fundamental challenge in robotics: how nonholonomic vehicles can autonomously detect and circumvent moving obstacles without sacrificing trajectory adherence. This contribution is critical for advancing autonomous driving and warehouse logistics, where real-time decision-making is paramount. Beyond this flagship paper, Basri’s research portfolio explores adaptive control strategies and sensor integration, aiming to bridge the gap between theoretical algorithms and practical deployment. While his citation count reflects a niche but growing impact, his work is notable for its emphasis on real-world applicability—addressing the latency and uncertainty that plague dynamic environments. For students and engineers, Basri’s research offers a grounded perspective on how robots can balance safety with performance, making his contributions a valuable reference for those developing next-generation autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1