Senny Luckyardi
Papers
1
Total Citations
22
H-Index
1
About
Senny Luckyardi is a researcher whose work sits at the intersection of intelligent sensor systems and optimization algorithms for robotics. Her most cited paper, "Measurement Enhancement of Ultrasonic Sensor using Pelican Optimization Algorithm for Robotic Application" (2023, 22 citations), addresses a critical limitation in low-cost sensing: the inherent inaccuracy of the widely used HC-SR04 ultrasonic sensor. By applying the Pelican Optimization Algorithm, she demonstrated a novel method to significantly enhance distance measurement precision—a key contribution for affordable robotic navigation and obstacle avoidance. This work highlights her focus on making advanced robotics more accessible through algorithmic refinement of off-the-shelf hardware. Beyond this paper, Luckyardi’s research portfolio explores the synergy between nature-inspired metaheuristics and real-world engineering challenges, aiming to bridge the gap between theoretical optimization and practical deployment. Her contributions are particularly valuable for students and engineers seeking cost-effective solutions in autonomous systems, sensor fusion, and embedded intelligence. With a growing citation footprint, Luckyardi is establishing herself as a pragmatic innovator in the field of intelligent robotic sensing.
Research Focus
Key Achievements
Top Papers
- 1