Anik Nur Handayani
Papers
10
Total Citations
86
H-Index
5
About
Anik Nur Handayani is a robotics and intelligent systems researcher whose work bridges autonomous navigation, computer vision, and control systems. Her research focuses on developing intelligent algorithms for mobile robots, including unmanned surface vehicles, fire-fighting robots, and manipulator arms. Handayani’s most impactful contribution is her work on HSV-based robot boat navigation systems (24 citations), which addresses the challenge of autonomous maritime patrol. She has also made significant advances in path planning through performance analysis of the A* algorithm for fire-fighting robots (16 citations), and in robotic manipulation using neural network Bayesian regularization backpropagation to solve inverse kinematics on planar manipulators (14 citations). Her work extends to improving QR code detection with convolutional neural networks (12 citations) and developing PD control systems for hexapod wall-following robots (7 citations). Handayani’s research has practical applications in maritime security, industrial automation, and assistive robotics, with her most recent work focusing on real-time obstacle detection for unmanned surface vehicles. Her contributions demonstrate a consistent commitment to advancing autonomous robotic systems through the integration of computer vision, neural networks, and classical control theory.
Research Focus
Key Achievements
Top Papers
- 1HSV Based Robot Boat Navigation System24 citations · 2020
- 2
- 3
- 4
- 5
- 6
- 7
- 8Locking Object Position using Camshift Algorithm for Automatic Trolley3 citations · 2019
- 9Development of Photogrammetry Application for 3D Surface Reconstruction2 citations · 2021
- 10Real-Time Obstacle Detection for Unmanned Surface Vehicle Maneuver1 citations · 2023