Waskitho Wibisono
Papers
2
Total Citations
6
H-Index
2
About
Waskitho Wibisono is a researcher specializing in robotics and intelligent control systems, with a particular focus on quadruped robot design and locomotion. His major contributions lie in developing adaptive control mechanisms for four-legged robots, notably through the integration of Adaptive Neuro-Fuzzy Inference Systems (ANFIS) for balance regulation and Central Pattern Generator (CPG-VDP) models for periodic motion generation. Wibisono's work on the "Kancil" and "Kancil-V2" quadruped platforms—medium-sized, 4×2-DOF robots weighing 5 kg—has advanced the field by proposing and testing novel swing trajectory models for stable, periodic walking. His most-cited paper, "Quadruped Robot Control Base on Adaptive Neuro-Fuzzy Inference System With V-REP Simulator" (2020, 4 citations), demonstrates the application of ANFIS as a balance regulator, while his follow-up work on swing trajectory modeling (2020, 2 citations) explores three distinct algorithms for leg motion. Though his citation counts are modest, Wibisono's research contributes foundational insights into bio-inspired control strategies for legged robots, bridging simulation and real-world implementation. His achievements include the design and simulation of lightweight quadruped platforms, offering practical pathways for agile, stable robot locomotion in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2