Anugrah K. Pamosoaji

About

Anugrah K. Pamosoaji is a robotics researcher whose work bridges mechanical design, intelligent control, and human-robot interaction. His primary research areas include dual-arm robotic systems, mobile robot control, and the application of computer vision in medical robotics. Pamosoaji’s major contributions include developing robust configuration control algorithms for mobile robots that handle input disturbances and modeling errors, and analyzing human arm motions using DH-parameter-based forward kinematics to inform the design of shoulder-attached dual-arm robots for industrial assembly. His work on face liveness detection using CNNs for medical robot verification demonstrates his commitment to safety-critical applications. With a career spanning over a decade, his most cited paper (6 citations) focuses on educational robotics—training students in line follower robot construction using Scratch and Arduino, reflecting his dedication to STEM outreach. Notably, he has explored the use of Therblig motion analysis for stroke rehabilitation therapy, showing a human-centered approach to robotics. Pamosoaji’s diverse portfolio, from robust control theory to practical medical and educational applications, marks him as a versatile engineer advancing both the theory and accessibility of robotic systems.

Research Focus

Key Achievements

Top Papers

1. 1
   PELATIHAN PEMBUATAN ROBOT LINE FOLLOWER DENGAN SCRATCH DAN ARDUINO DI SMP PUTRA BANGSA, KLATEN

   6 citations · 2016
2. 2
   Analysis of human arm motions at assembly work as a basic of designing dual robot arm system

   4 citations · 2017
3. 3
   Face Liveness Detection Using CNN for Face Verification on Medical Robot

   2 citations · 2022
4. 4
   Therbligh Motions as a Basic of Movement Therapy for Stroke Patients

   2 citations · 2018
5. 5
   Robust configuration control of a mobile robot with uncertainties

   2 citations · 2011

Key Collaborators

Contact & Links