Arief Syaichu Rohman
Papers
5
Total Citations
81
H-Index
4
About
Arief Syaichu Rohman is a leading researcher in robotics and autonomous systems, with a focus on path planning, humanoid robotics, and visual servoing. His most cited work, a 2021 paper with 34 citations, introduces a novel hybridization of the Rapidly-Exploring Random Tree (RRT) and Ant Colony System (ACS) algorithms, achieving both rapid path generation and optimality—a significant advance for autonomous navigation. In 2014, he demonstrated the practical application of kinematics and trajectory planning by enabling the NAO humanoid robot to play tic-tac-toe, a paper that has garnered 29 citations and showcases his expertise in integrating motion control with interactive tasks. Rohman has also contributed to healthcare robotics, developing a centroid-tracking-aided object detection system for hospital environments (8 citations), addressing critical needs highlighted by the COVID-19 pandemic. His work on visual servo control using Model Predictive Control (MPC) for pan-tilt camera platforms (8 citations) further underscores his skill in combining vision and control. With additional research on machine vision for social robots, Rohman’s portfolio demonstrates a consistent drive to create intelligent, adaptive robotic systems that bridge theory and real-world application.
Research Focus
Key Achievements
Top Papers
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- 3Centroid-Tracking-Aided Robust Object Detection for Hospital Objects8 citations · 2020
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