Boxing Training Robot
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Date
2023
Authors
Ahmed Jalamneh
Ahmed Nabhan
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
This report presents the design and implementation of a boxing training
robot with AI capabilities for punch detection and skill enhancement. The
objective was to create a versatile system that provides real-time feedback
and guidance to users practicing their boxing techniques.
The system offers two modes: Training Mode for free practice with AI
feedback on speed, accuracy, and form, and Vision Mode to simulate real time punches when the user assumes a guard position. Software and
hardware integration techniques ensure seamless communication.
Experimental evaluations confirm the system's effectiveness, detecting
punches in real-time and providing valuable feedback for an immersive
training experience.
Additionally, Vision Mode utilizes AI to detect the user's guard position,
triggering the robot to simulate punches in real-time. The project
demonstrates effective software and hardware integration, ensuring
seamless communication among components. Experimental evaluations
validate the system's punch detection accuracy and its ability to provide a
valuable training experience.