Showcasing our capabilities on mobile inspection robots at the “Robots in Business” event at RoboHouse! 🦾
Since we love to challenge ourselves, we are combining and integrating two technologies, to accomplish more added value to the industry. Mobile inspection of large parts is a need and it saves the time you would spend on dismantling the parts 🕙 ⬇️. The results are promising, explains technical lead Aashish Vatsyayan: “Basically, we are teaching a robot to detect the slightest defect. Our system is very flexible and we can change the sensors based on the application. First, the mobile system navigates to the part that needs inspection. Then we perform an initial scan using machine learning to detect defects or scratches. Traditionally, this is done manually. The second step involves using a sensor to perform a more detailed inspection on the defects. The inspection can be performed on the surface or sub-surface, depending on the sensors used. In this demo we are using a laser line scanner to perform a surface inspection”.
Compared to the current visual inspection 👁️ by humans, this system is expected to be faster and more accurate 🔍 in future, and way easier to configure than the current damage scanning solutions. Beside our scanning airplanes for damages, we are exploring possibilities for other industries. During the event, we connected to several businesses that showed interest. Think of automated scanning of the quality of train rails on a regular basis, to plan preventive maintenance before severe damaging occurs 🚆. Or scanning concrete structures for the smallest cracks, not visible to human eye 🏗️. This is relevant for high pressure labs, nuclear and other chemical plants where safety should be guaranteed to the highlest level. Inspecting large vessels as soon as they enter the harbour is another application where multi-sensor mobile inspection can be a valuable addition 🚢.
A big thank you to our Robotics Software Engineers that worked really hard to have the demo ready in time!
Nikhil Sethi and Quang Nguyen worked on the laser line scanner, the sensor and how to get reliable data. Nithish Kumar did great stuff to have the mobile manipulator move precisely and autonomously. Special mention of our consultant Raul Montalvo de Roa, who has been collaborating with us for months to achieve this milestone.
Read more on our project goals:
➡️ NXTGEN, zero defect programming: https://lnkd.in/e2pPFU_5
➡️ Coresense, cognitive robots: https://lnkd.in/eFd8ZejN
#Industry40 #Innovation #Robotics #DamageDetection #ZeroProgramming #ZeroDefect