Adlina Taufik Syamlan
Papers
6
Total Citations
27
H-Index
4
About
Adlina Taufik Syamlan is a robotics researcher whose work centers on the design, control, and trajectory planning of cable-driven parallel robots (CDPRs) and intelligent robotic systems. Her major contributions lie in advancing suspended cable robots—mechanisms that use cables instead of rigid links to achieve large, interference-free workspaces with high precision. She has developed dynamic trajectory generation and model-based control algorithms for these systems, ensuring stable and accurate motion even under dynamic conditions. Her 2020 paper on dynamic trajectory planning for reconfigurable suspended cable robots has garnered 9 citations, reflecting its significance in the field. Syamlan has also explored the intersection of robotics and artificial intelligence, using ANFIS (Adaptive Neuro-Fuzzy Inference Systems) for inverse kinematics and character recognition in writing robots, as seen in her 2016 and 2015 works. Her 2023 study on model-based control for suspended CDPRs further solidifies her expertise in real-time control strategies. With a total of over 25 citations across her most-cited papers, Syamlan’s research is instrumental in making cable-driven robots more versatile and reliable for industrial applications, from manufacturing to automation.
Research Focus
Key Achievements
Top Papers
- 1Dynamic trajectory planning of reconfigurable suspended cable robot9 citations · 2020
- 2
- 3
- 4Cable Driven Parallel Robot with Big Interference-Free Workspace4 citations · 2020
- 5Character recognition for Writing Robot Control using ANFIS3 citations · 2015
- 6Dynamic trajectory generation of suspended cable-driven parallel robot3 citations · 2019