Pujiyanto Pujiyanto
Papers
1
Total Citations
3
H-Index
1
About
Pujiyanto Pujiyanto is a researcher focused on the intersection of biomechanics, robotics, and motion simulation. His key research areas include motion capture technology, trajectory planning, and the development of assistive and rehabilitative devices. One of his notable contributions is the implementation of marker-based motion capture systems for trajectory planning in leg swing simulators, a work that bridges animation, automation, and robotics. This research, published in 2017, has garnered 3 citations, reflecting its niche yet valuable impact on the design of precise motion control systems for rehabilitation and simulation. Pujiyanto’s work demonstrates a commitment to advancing human-machine interaction, particularly in applications that enhance mobility and recovery. His achievements highlight the practical integration of motion capture data into robotic systems, offering insights for students and researchers in biomechatronics and assistive technology. By combining theoretical modeling with experimental validation, Pujiyanto contributes to the growing body of knowledge that supports the development of more intuitive and effective robotic aids for human movement.
Research Focus
Key Achievements
Top Papers
- 1