Tjahja Odinanto
Papers
2
Total Citations
12
H-Index
2
About
Tjahja Odinanto is a researcher focused on assistive robotics and autonomous navigation systems, with particular expertise in microcontroller-based robot design and neural network applications. His work addresses critical challenges in both medical assistive technology and disaster response robotics. His most cited paper, "Design of Wheelchairs Robot Based on ATmega128 to People with Physical Disability" (2019, 8 citations), proposes an innovative wheelchair robot tailored for individuals with movement disorders caused by muscular abnormalities, bone structure issues, illness, or accidents—demonstrating a practical engineering solution to enhance mobility and independence for the physically disabled. In his second notable work, "SIMULASI PENGENALAN POLA RUANGAN MENGGUNAKAN JARINGAN SYARAF TIRUAN PADA APLIKASI SISTEM LOKALISASI ROBOT RESCUE" (2017, 4 citations), Odinanto applies artificial neural networks for room pattern recognition in rescue robot localization systems, specifically designed for building fire disasters where smoke and fire create dark, panic-inducing conditions. This work contributes to autonomous navigation in hazardous environments, enabling rescue robots to operate effectively when human visibility is compromised. Though his citation counts are modest, Odinanto's research bridges critical gaps in assistive technology and emergency robotics, offering practical microcontroller-based solutions that can directly improve quality of life and safety in real-world scenarios.
Research Focus
Key Achievements
Top Papers
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