Heri Ngarianto
Papers
7
Total Citations
53
H-Index
4
About
Heri Ngarianto is a researcher whose work sits at the intersection of intelligent robotics and smart retail automation. His primary research areas include humanoid robotics, voice and speech recognition, and the development of smart shopping systems. Ngarianto’s most significant contribution is the creation of a "Smart Trolley System" that leverages Android smartphone sensors to enhance the supermarket shopping experience—a paper that has garnered 28 citations, his highest. This work addresses a practical inconvenience by allowing trolleys to follow customers, reducing time wasted at the checkout. In the realm of robotics, he has designed multiple humanoid robots with advanced capabilities, including face recognition, voice command processing, and blind speech separation using methods like DUET and FastICA. His 2015 paper on a humanoid robot with voice recognition, based on a Raspberry Pi 2, laid the groundwork for subsequent innovations aimed at educational and entertainment applications. Notably, his research on separating multiple speeches in humanoid robots (2018) targets teaching children by enabling robots to listen and respond to questions. With a total of over 50 citations across his publications, Ngarianto’s work demonstrates a clear commitment to making technology more intuitive and accessible, blending hardware design with sophisticated software solutions for real-world impact.
Research Focus
Key Achievements
Top Papers
- 1Development of Smart Trolley System Based on Android Smartphone Sensors28 citations · 2019
- 2Line Follower Smart Trolley System V2 using RFID6 citations · 2021
- 3Designing of Humanoid Robot with Voice Recognition Capability5 citations · 2015
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- 5Designing of Medium-Size Humanoid Robot with Face Recognition Features4 citations · 2016
- 6Separating Multi Speeches in Intelligent Humanoid Robot using FastICA3 citations · 2018
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