Bety Etikasari

Papers

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About

Bety Etikasari is a robotics researcher dedicated to developing intelligent, assistive technologies that bridge the gap between automation and human needs. Her work centers on human-robot interaction and control systems, with a particular focus on creating practical solutions for people with disabilities and industrial automation. In her influential 2017 paper, "A control scheme for typist robot using Artificial Neural Network" (7 citations), Etikasari addressed a critical social challenge: integrating persons with disabilities into the workforce. By designing a neural network-based control system for a typist robot, she created a pathway for individuals with physical limitations to perform skilled labor, directly responding to the 150 million children with disabilities worldwide and Indonesia's 11 million disabled workers. Her 2019 work, "A Simple Algorithm for Person-Following Robot Control with Differential Wheeled based on Depth Camera" (6 citations), advanced Industry 4.0 automation by developing an efficient, depth-camera-based algorithm for robots to autonomously follow human operators. This contribution streamlined collaborative manufacturing processes, enabling machines to work alongside humans safely and effectively. Etikasari's research demonstrates a rare combination of technical innovation and social consciousness, proving that robotics can be both cutting-edge and compassionate. Her work continues to inspire new approaches to assistive robotics and human-centered automation.