This thesis presents the design and preliminary experimental validation of a flexible robotic platform for repetitive functional testing of motorcycle helmet mechanisms. The system integrates a Dobot CR10 collaborative robot, a custom 3D-printed end-effector, a stepper-motor actuation mechanism, an Arduino-based controller, and computer-based supervisory control. The platform was tested on the main visor, internal sun visor, upper air vent, and chin mechanism of one helmet, as well as the main visor of a second helmet with a different geometry. Each configuration was operated for twenty consecutive cycles. The experiments demonstrated successful automated actuation, collision-free operation, and consistent controller-reported trajectories and cycle timing. The results support the feasibility of using a reprogrammable robotic platform for flexible laboratory-scale functional testing while reducing repetitive manual intervention. Future improvements include force/torque sensing, vision-based localization, closed-loop end-effector feedback, independent metrology, and longer-duration test campaigns.

This thesis presents the design and preliminary experimental validation of a flexible robotic platform for repetitive functional testing of motorcycle helmet mechanisms. The system integrates a Dobot CR10 collaborative robot, a custom 3D-printed end-effector, a stepper-motor actuation mechanism, an Arduino-based controller, and computer-based supervisory control. The platform was tested on the main visor, internal sun visor, upper air vent, and chin mechanism of one helmet, as well as the main visor of a second helmet with a different geometry. Each configuration was operated for twenty consecutive cycles. The experiments demonstrated successful automated actuation, collision-free operation, and consistent controller-reported trajectories and cycle timing. The results support the feasibility of using a reprogrammable robotic platform for flexible laboratory-scale functional testing while reducing repetitive manual intervention. Future improvements include force/torque sensing, vision-based localization, closed-loop end-effector feedback, independent metrology, and longer-duration test campaigns.

Development of a flexible robotic system with a custom end-effector for helmet mechanism endurance testing

ROSHANI KOHAL, FARSHAD
2025/2026

Abstract

This thesis presents the design and preliminary experimental validation of a flexible robotic platform for repetitive functional testing of motorcycle helmet mechanisms. The system integrates a Dobot CR10 collaborative robot, a custom 3D-printed end-effector, a stepper-motor actuation mechanism, an Arduino-based controller, and computer-based supervisory control. The platform was tested on the main visor, internal sun visor, upper air vent, and chin mechanism of one helmet, as well as the main visor of a second helmet with a different geometry. Each configuration was operated for twenty consecutive cycles. The experiments demonstrated successful automated actuation, collision-free operation, and consistent controller-reported trajectories and cycle timing. The results support the feasibility of using a reprogrammable robotic platform for flexible laboratory-scale functional testing while reducing repetitive manual intervention. Future improvements include force/torque sensing, vision-based localization, closed-loop end-effector feedback, independent metrology, and longer-duration test campaigns.
2025
Development of a flexible robotic system with a custom end-effector for helmet mechanism endurance testing
This thesis presents the design and preliminary experimental validation of a flexible robotic platform for repetitive functional testing of motorcycle helmet mechanisms. The system integrates a Dobot CR10 collaborative robot, a custom 3D-printed end-effector, a stepper-motor actuation mechanism, an Arduino-based controller, and computer-based supervisory control. The platform was tested on the main visor, internal sun visor, upper air vent, and chin mechanism of one helmet, as well as the main visor of a second helmet with a different geometry. Each configuration was operated for twenty consecutive cycles. The experiments demonstrated successful automated actuation, collision-free operation, and consistent controller-reported trajectories and cycle timing. The results support the feasibility of using a reprogrammable robotic platform for flexible laboratory-scale functional testing while reducing repetitive manual intervention. Future improvements include force/torque sensing, vision-based localization, closed-loop end-effector feedback, independent metrology, and longer-duration test campaigns.
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Descrizione: A flexible robotic platform was developed for repetitive functional testing of motorcycle helmet mechanisms. Tests showed reliable automated operation and good repeatability.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14239/36637