Toni Prahasto

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About

Toni Prahasto is a researcher specializing in robotics, mechatronics, and control systems, with a particular focus on the design, simulation, and optimization of robotic manipulators and legged locomotion. His work is centered on developing practical, low-cost robotic platforms for industrial and monitoring applications. One of his key contributions is the optimization of a two-arm gripper using a Genetic Algorithm on a 5-DOF arm robot simulator, a study that has garnered 6 citations and demonstrates his expertise in integrating evolutionary computation with robotic control. Additionally, Prahasto has made significant strides in the field of bio-inspired robotics through his analysis of the kinematic, dynamic, and gait patterns of a snooper hexapod robot, which mimics spider locomotion for industrial area monitoring. This work, which involves an 18-DOF system, has received 4 citations and highlights his ability to translate biological principles into functional robotic designs. By combining accessible materials like acrylic and Arduino microcontrollers with advanced algorithms, Prahasto’s research offers scalable solutions for automation and surveillance, making him a notable contributor to Indonesian robotics engineering.