Papers

7

Total Citations

353

H-Index

5

About

Paryanto Paryanto is a researcher whose work sits at the intersection of industrial robotics, energy efficiency, and assistive mechatronics. His primary research areas include energy consumption modeling for manufacturing robots, dynamic behavior analysis of industrial manipulators, and the development of low-cost, human-friendly robotic systems. Paryanto’s most impactful contribution is his 2015 paper on reducing energy consumption in industrial robots within manufacturing systems, which has garnered 231 citations—a clear indicator of its influence on sustainable automation. He further advanced this field with an experimental study on a six-axis robot’s energy and dynamic behavior (88 citations), providing foundational insights for optimizing robot operating parameters like payload and speed. Beyond industrial applications, Paryanto has demonstrated versatility by developing an affordable anthropomorphic robotic hand controlled via a modified glove sensor, integrated with 3D animation for intuitive operation. His recent work includes a fabric-based portable soft exoskeleton glove for hand grasping assistance, showcasing a shift toward wearable assistive devices. With a portfolio that spans energy-aware manufacturing to accessible robotic aids, Paryanto’s research offers practical solutions for both industry and daily life, making him a notable figure in modern mechatronics.

Research Focus

Key Achievements

5
H-Index
7
Papers
353
Total Citations
50
Avg Citations/Paper
🏆 Most Cited Paper
Reducing the energy consumption of industrial robots in manufacturing systems
231 citations · 2015
📈 Most Prolific Year: 2015 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Friedrich-Alexander-Universität Erlangen-Nürnberg, Diponegoro University, Institute of Automation

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago