An Open-Source Framework for Developing Human Behavior in Humanoid Robots
We need someone to rise from childhood to adulthood and then to help us work the graveyard. Humans are mortal, and we engage in many activities that carry a higher risk of death, such as those performed by the military, firefighters, astronauts, and divers, among other professions. To rescue people, this includes ourselves if we replace people from those kinds of riskier sectors. So, in the interest of mankind, we aim to create a robot that looks like a man from head to toe and mimics our movements. The goal of this research is to develop a robot that can act like a human, be fully controlled by an electronic device or voice, converse with humans, walk but not run, connect to the internet and gather data from there, and express emotion using holographic eyes and faces so that humans can believe the robot is alive even though it is incapable of making decisions on its own. This paper proposes an open-source and Arduino-based scientific and technological machine to develop a humanoid robot. This robot is designed internally and externally with a circuit designed in the back-end system. The behavior of the proposed robot is most similar to human behavior. To find out the performance of the proposed robotics system, some software libraries, such as VoiceHexData for voice command, and some hardware instruments, such as circuit diagrams, OLED displays, and Arduino IDEs for software modules, were used.
Authors
- Nayeem Uddin Ahmed Khan
- Md Shahriar Abdullah (ORCID: https://orcid.org/0009-0003-9541-6112)
- M. Nawaz Sharif (ORCID: https://orcid.org/0000-0001-8312-8605)
- Tanjim Mahmud (ORCID: https://orcid.org/0000-0002-1892-0310)
- Muhammad Zulfaiz Hilmi Riduan (ORCID: https://orcid.org/0009-0007-0993-0078)
- Mohammad Tarek Aziz (ORCID: https://orcid.org/0009-0009-8835-034X)
Institutions
- Chittagong University of Engineering & Technology (BD)
- Lamar University (US)
- Rangamati Science and Technology University (BD)
- University of Chittagong (BD)
Publication Details
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1109/ecce64574.2025.11012960
- Citations
- 1
- Primary Topic
- Social Robot Interaction and HRI
- Type
- article
- Field-Weighted Citation Impact
- 2.44