Papers
3
Total Citations
48
H-Index
3
About
Dr. Gigih Priyandoko is a leading researcher in robotics and human-robot interaction, with a focus on bio-inspired mechanical systems and autonomous navigation. His most cited work, "Modelling and control of a human-like arm incorporating muscle models" (2009, 24 citations), introduces a simplified control algorithm for a two-link planar manipulator that emulates human arm dynamics under vibratory excitation—a foundational contribution to prosthetics and rehabilitation robotics. Dr. Priyandoko’s second highly cited paper, "Human Following on ROS Framework a Mobile Robot" (2018, 21 citations), advances assistive robotics by developing an autonomous person-following system for service robots, addressing critical needs for elderly and disabled populations. His subsequent work, "Mapping of unknown industrial plant using ROS-based navigation mobile robot" (2017, 3 citations), explores teleoperated inspection and 2D/3D mapping in industrial environments, emphasizing robust human-robot remote interaction. Collectively, his research bridges theoretical modeling and practical ROS-based applications, demonstrating significant impact in humanoid control, autonomous navigation, and human-robot collaboration. Dr. Priyandoko’s contributions continue to shape the development of intelligent, assistive robotic systems for real-world deployment.
Research Focus
Key Achievements
Top Papers
- 1Modelling and control of a human-like arm incorporating muscle models24 citations · 2009
- 2HUMAN FOLLOWING ON ROS FRAMEWORK A MOBILE ROBOT21 citations · 2018
- 3