Enhancement of Control Software Implementation for an Automated Specimen Processing Robotic System

The project aims to enhance design control software that drives an automated specimen processing robotic system. This robotic system automates the processes of biological specimen containers handling and labelling. It is used to increase the productivity of microbiology laboratories and quality of their results. This robotic system controller handles hundreds of specimen containers in a single run. The task requires operating tens of motors simultaneously, which increases the complexity of the controller software significantly.

Development of Imaging Algorithms for an Automated Specimen Processing Robotics System

Dynacon Inc. is a company that specializes in applying automation and robotics technology to the microbiology industry. Their complete robotics control systems automate the repetitive and time consuming process of sample handling and labelling, which were previously performed by lab technicians. The current project aims to enhance the reliability and overall value of the robotics system by developing intelligent imaging and vision algorithms to aid in the automation process.

Systems Integration of Automatic Specimen Processor with a Petri Net Approach to Control, Diagnose and Prevent System Faults

Microbiology analysis is an essential tool for diagnosing infectious diseases in health and medical services. The subfield of Bacteriology receives the largest volume in human specimens (i.e. urine and swab samples). For an average sized clinical lab, 1,000 to 5,000 samples would need to be processed daily. Such high demand in conjunction with the labour‐intensive and error prone analysis techniques makes automation an excellent solution for optimizing laboratory human resources.

Development of Control Software Architecture for an Automated Specimen Processing Robotic

The project with Dynacon Inc., a company applying automation and robotic technology to microbiology industry, aims to design control software that drives an automated specimen processing robotic system. This robotic system automates the processes of handling and labelling biological specimen containers. It is used to increase the productivity of microbiology laboratories and quality of their results. This robotic system controller handles hundreds of specimen containers in a single run.