You're fixing a performance issue in your robot. How do you prevent another problem from arising?

When you are in the process of solving a problem on your robot, it is important to check the other elements to check that there has been no disruption of the other parts and other features! Global verification is a must!

As with any technology, there are multiple reasons for the lack of performance of a robot. And there is no magic fix to solve all the problems of the robot. However, the best way to minimise the problems is to ensure intensive testing of all the components before deployment. Moreover, always have mitigation strategies hard coded for any edge cases to ensure Fail-Safe behavior during uncertainties. Additionally, to continuously monitor the performance and reliability of the robot post deployment, you can utilise AI based independent assessment systems like RideScan.

Implementing an algorithm that detects and corrects errors in real time when building and designing a robot in real time. Scheduling regular maintenance to inspect and replace worn or damaged components.

Regression testing is crucial in ensuring that new changes or fixes in a robotic system do not unintentionally disrupt existing functionality. When updates or bug fixes are implemented, they can inadvertently affect other parts of the system. Regression testing helps detect these issues early by re-running previously successful tests to confirm everything still works as expected. It provides confidence that the system remains stable, reliable, and consistent after each modification. Regular regression testing also reduces the risk of introducing new bugs, improving long-term system performance and maintainability. #testing #robotics #qualityassurance

To prevent new problems from arising while solving a performance issue in a robot, I follow a two-phase approach: Before applying the solution: 1. Root Cause Analysis: I use tools like the 5 Whys and Ishikawa to ensure that we are addressing the root cause of the issue, not just its symptoms. 2. Collaborative Change Validation: I involve a multidisciplinary team to review and validate the proposed solution to ensure it doesn’t introduce new failures. After applying the solution: 1. Thorough Testing: I carry out rigorous tests to verify that the original problem is resolved without affecting other areas. 2. Continuous Monitoring: I monitor the robot for a set period to ensure that its performance remains optimal and no new problems arise.