Aryuanto Soetedjo

Multimedia University, National Institute of Technology

Papers

2

Total Citations

9

H-Index

2

About

Aryuanto Soetedjo is a robotics researcher whose work focuses on accessible, low-cost automation and human-robot interaction. His research centers on developing intelligent robotic systems that can navigate and operate effectively even with limited sensory input, as well as creating intuitive control interfaces for remote manipulation. Soetedjo’s most cited work, "Developing a blind robot: Study on 2D mapping" (2008, 5 citations), explores how a robot can build a continuous and discrete 2D map of its environment using only ultrasonic sensors, allowing it to navigate obstacles while giving the user control over speed and direction. This foundational work demonstrates his interest in making robotics more robust and user-friendly. In a more recent contribution, "Human Arm Movement Detection Using Low-Cost Sensors for Controlling Robotic Arm" (2018, 4 citations), Soetedjo designed a wearable device using seven potentiometers and a flex sensor, paired with an Arduino Nano, to translate human arm movements into commands for a robotic arm. This work highlights his commitment to democratizing robotics by leveraging simple, affordable components to create practical solutions for remote control and assistive technology.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Developing a blind robot: Study on 2D mapping
5 citations · 2008
📈 Most Prolific Year: 2008 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Multimedia University, National Institute of Technology

Top Papers

  1. 1
  2. 2
    Human Arm Movement Detection Using Low-Cost Sensors for Controlling Robotic Arm
    4 citations · 2018

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago