Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)

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Challenges in Air Hockey Playing Robot Development

Authors
Adithya Mohanavel1, *
1Independent Researcher, Seattle, USA
*Corresponding author. Email: adithya300800@gmail.com
Corresponding Author
Adithya Mohanavel
Available Online 17 July 2025.
DOI
10.2991/978-94-6463-787-8_5How to use a DOI?
Keywords
Air Hockey Robot; Computer Vision; Deep Learning in Robotics; Reinforcement Learning for Robot Control; Real-Time Object Detection; Autonomous Robot Control
Abstract

This research explores the development challenges encountered in creating an air hockey-playing robot. The study focused on three key aspects: mallet manipulation, puck detection, and the overall robotic system. In mallet manipulation, issues arose due to motor selection, with the initial servo motors causing mounting difficulties, leading to a shift to a combination of DC and stepper motors. However, these motors faced challenges with power and control, impacting the end effector’s precision and speed. Puck detection methods were also investigated, with Scale Invariant Feature Transform (SIFT) and thresholded contour detection considered. SIFT was found slow and error-prone, while contour detection proved more efficient, particularly when optimized. The air hockey playing system, though partially implemented, faced obstacles in component integration, motors, and overall coordination. The research underscores the critical significance of meticulous planning, precise component selection, and sophisticated algorithms in designing successful robotic systems, offering valuable insights for advancing the performance and precision of various robotic applications.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
Series
Advances in Intelligent Systems Research
Publication Date
17 July 2025
ISBN
978-94-6463-787-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-787-8_5How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Adithya Mohanavel
PY  - 2025
DA  - 2025/07/17
TI  - Challenges in Air Hockey Playing Robot Development
BT  - Proceedings of the Recent Advances in Artificial Intelligence for Sustainable Development (RAISD 2025)
PB  - Atlantis Press
SP  - 39
EP  - 49
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-787-8_5
DO  - 10.2991/978-94-6463-787-8_5
ID  - Mohanavel2025
ER  -