Quasi Robotics, a robotics company based out of Frederick, MD, USA has revealed their new Q.AI Integrated Automation Platform. The platform is designed to automate repetitive tasks specific to the region’s prominent Life Science biotech cluster, and consists of three connected components, featuring artificial intelligence in robotics:
· the Model C2 and Model R2 autonomous mobile robots (AMRs)
· the Q.AI bundle of Artificial Intelligence (AI) algorithms
· the Cloud Connect command center.
These three elements combine to create a comprehensive system of AI robots which self-navigate facilities while avoiding unexpected obstacles, learn from and adapt to their environment, and link with existing company machines and systems for easy information exchange.
Autonomous Mobile Robots (AMRs): Model C2 and Model R2
The Quasi Model C2 is a robotic delivery cart that transports items and materials throughout dynamic workplaces like laboratories, warehouses, offices, and more. It navigates and maps its surroundings autonomously, without human oversight or external guides. By taking care of repetitive and distracting intra-logistic deliveries, Model C2 allows employees to focus their expertise on more important tasks in their workflows.
The Model R2 takes this self-navigation a step further by incorporating a robotic arm with interchangeable gripper attachments. Like a mobile pick and place robot, Model R2 can pick up, move, and manipulate objects in its environment, making it ideal for more precise tasks that involve sorting, collecting, and assembling.
Integrated Automation with Q.AI Intelligence
The ‘brain’ behind the Q.AI platform is rooted in the company’s exclusively developed bundle of artificial intelligence (AI) algorithms. By incorporating robots and AI with machine learning (ML), Quasi Robotics solutions understand and interact with their environment, make decisions autonomously, and learn from past experiences to improve their performance over time.
In addition, Q.AI makes it possible for Quasi’s mobile robots to easily connect with existing company management systems, so managers have complete oversight of their facility operations.
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Cloud Connect: Visual Robotic Control Software
Cloud Connect acts as the central hub for managing the Q.AI Automation Platform. The app-based robotic control software simplifies complex data into visual graphs and dashboards with an easy-to-use interface. Without any coding or programming, users assign and adjust robotic tasks, view, and analyze collected data from their entire robotic feet, and get detailed reports on robot performance – for robot feet management that’s accessible to all.
Local Impact and Future Prospects
Quasi Robotics’ launch of the Q.AI Integrated Automation Platform is a testament to state of Maryland growing reputation as a hub of technological leadership. Its easy-to-use, intelligent solutions not only showcase local innovation, but also promise to impact how businesses approach automation in the region’s life science biotechnology cluster and beyond. For more information visit www.quasi.ai