CASE STUDY
Robotic Test Cell for Medical Device Evaluation in a Simulated Environment
Medical Device
Client Challenge:
A medical device company needed to automate the testing of a device under simulated physiological conditions. Manual testing methods were time-consuming, inconsistent, and lacked the precision required for micron-level analysis. The company sought an automated solution to improve accuracy, reliability, and efficiency in device evaluation and optimization.
Our Solution:
We designed and built a custom robotic test cell. The system featured a temperature-controlled water vessel simulating physiological conditions, a robotic arm for precise device manipulation, and a telecentric lens camera system for micron-level tracking accuracy. Force and torque sensors captured real-time data, correlated with device position within the water bath and displayed on a custom GUI.
Robotic Test Cell Features:
01.
Environmental Control
Temperature-controlled water vessel with simulated anatomical structure.
02.
Robotic Manipulation
6-axis collaborative robot for precise control of the medical device.
03.
Force & Torque Measurement
Sensors for capturing real-time data on forces applied to the device.
04.
Vision Systems
High-precision telecentric lens camera system for micron-level tracking of device features within the water bath. Additional cameras for visual process documentation.
05.
Data Acquisition & Control
Custom software interface with GUI for experiment control, data logging, real-time visualization, and correlation of torque measurements with device position.
The Results:
The robotic test cell significantly enhanced the medical device company's testing capabilities. Automation eliminated manual inconsistencies, ensuring precise and repeatable measurements. Real-time monitoring and data logging provided comprehensive insights into device performance under simulated conditions. The telecentric lens system enabled micron-level accuracy, crucial for evaluating intricate device features. The custom GUI streamlined data analysis and visualization, facilitating faster and more informed decision-making in device optimization.