RAFEQI design and implementation of a cost-effective personal assistant robot
Abstract
This paper critically emphasizes the revolution in the field of robotics, focusing on assistant robots. the integration between artificial intelligence and robotics always ends up producing a new unique needed product. RAFEQI is a personal assistant robot equipped with accessible GUI screen, enhancing user interaction and feedback. It is fitted with ChatGPT 3.5 turbo as its auditory system that enables a real-time fast and accurate response. RAFEQI is equipped with a stereo vision system that handles the computer vision criteria challenges. Additionally, it features advanced mapping and localization capabilities, ensuring efficient navigation and map drawing. The fusion and inspiration from different personal assistants' existing robots produced a new unique item, RAFEQI emerges as a fully functional and innovative robotic assistant.
Received on, 25 December 2024
Accepted on, 24 February 2025
Published on, 06 March 2025
Keywords
Full Text:
PDFReferences
S. Michieletto, D. Zanin, and E. Menegatti, “NAO Robot Simulation for Service Robotics Purposes,” in 2013 European Modelling Symposium, IEEE, Nov. 2013, pp. 477–482. doi: 10.1109/EMS.2013.80.
A. K. Pandey and R. Gelin, “A Mass-Produced Sociable Humanoid Robot: Pepper: The First Machine of Its Kind,” IEEE Robot Autom Mag, vol. 25, no. 3, pp. 40–48, Sep. 2018, doi: 10.1109/MRA.2018.2833157.
M. Lapeyre, P. Rouanet, and P.-Y. Oudeyer, “Poppy: a New Bio-Inspired Humanoid Robot Platform for Biped Locomotion and Physical Human-Robot Interaction,” in Proceedings of the 6th International Symposium on Adaptive Motion in Animals and Machines (AMAM), 2013.
S. Mick et al., “Reachy, a 3D-Printed Human-Like Robotic Arm as a Testbed for Human-Robot Control Strategies,” Front Neurorobot, vol. 13, Aug. 2019, doi: 10.3389/fnbot.2019.00065.
“ROBOTIS,” 2025. [Online]. Available: https://emanual.robotis.com/docs/en/dxl/mx/mx-28/
“ROBOTIS e-Manual.” [Online]. Available: https://emanual.robotis.com/docs/en/dxl/mx/mx-64/
“20kg.cm Bus Servo Motor, 106PRM High Speed, Large Torque, With 360 Degrees High Precision Magnetic Encoder,” 2025. [Online]. Available: https://www.waveshare.com/st3215-hs-servo-motor.htm
R. P. Ltd, “Buy a Raspberry Pi High Quality Camera.” [Online]. Available: https://www.raspberrypi.com/products/raspberry-pi-high-quality-camera/
“OAK-D Pro.” [Online]. Available: https://shop.luxonis.com/products/oak-d-pro?variant=42455252369631
“Buy the Latest Jetson Products.” [Online]. Available: https://developer.nvidia.com/buy-jetson
“Products | Coral,” 2020, Coral. [Online]. Available: https://coral.ai/products/
“RPLIDAR-A2 Laser Range Scanner_ Solid Laser Range Scanner|SLAMTEC.” [Online]. Available: https://www.slamtec.com/en/Lidar/A2
“Maxbotix,” 2025. [Online]. Available: https://maxbotix.com/products/mb1020
T. N. Canh, B. P. Nguyen, H. Q. Tran, and X. HoangVan, “Development of a Human-Robot Interaction Platform for Dual-Arm Robots Based on ROS and Multimodal Artificial Intelligence,” 2024.
R. Belwariar, “A* Search Algorithm - GeeksforGeeks,” Mar. 2018. [Online]. Available: https://www.geeksforgeeks.org/a-search-algorithm/
J. Sun, G. Liu, G. Tian, and J. Zhang, “Smart Obstacle Avoidance Using a Danger Index for a Dynamic Environment,” Applied Sciences, vol. 9, no. 8, p. 1589, Apr. 2019, doi: 10.3390/app9081589.
V. Sheoran, S. Joshi, and T. R. Bhayani, “Age and Gender Prediction Using Deep CNNs and Transfer Learning,” 2021, pp. 293–304. doi: 10.1007/978-981-16-1092-9_25.
“YOLOv8: A New State-of-the-Art Computer Vision Model.” [Online]. Available: https://yolov8.com/
L. Li, K. Ota, and M. Dong, “Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing,” IEEE Trans Industr Inform, vol. 14, no. 10, pp. 4665–4673, Oct. 2018, doi: 10.1109/TII.2018.2842821.
“Depth accuracy,” 2025. [Online]. Available: https://docs.luxonis.com/hardware/platform/depth/depth
S. Kim et al., “Squeezeformer: An Efficient Transformer for Automatic Speech Recognition,” Jun. 2022.
K. Tripathi, R. Gothi, and P. Wasnik, “Enhancing Whisper’s Accuracy and Speed for Indian Languages through Prompt-Tuning and Tokenization,” Dec. 2024.
K. S. Kalyan, “A Survey of GPT-3 Family Large Language Models Including ChatGPT and GPT-4,” Oct. 2023.
“gmapping - ROS Wiki.” [Online]. Available: https://wiki.ros.org/gmapping
Y. Liu, C. Wang, H. Wu, Y. Wei, M. Ren, and C. Zhao, “Improved LiDAR Localization Method for Mobile Robots Based on Multi-Sensing,” Remote Sens (Basel), vol. 14, no. 23, p. 6133, Dec. 2022, doi: 10.3390/rs14236133.
DOI: http://dx.doi.org/10.21622/RIMC.2025.02.1.1154
Refbacks
- There are currently no refbacks.
Copyright (c) 2025 Shahd Elagan, Gaser El Khodary, Salma Amer, Zeyad Magdy, Islam Mohamed Arafa, Osama Abdelrazek, Hany Hanafy
Robotics : Integration, Manufacturing and Control
E-ISSN: 3009-7967
P-ISSN: 3009-6987
Published by:
Academy Publishing Center (APC)
Arab Academy for Science, Technology and Maritime Transport (AASTMT)
Alexandria, Egypt