For this robotics project, we look for solutions that can allow the automation of a chip quality testing process, reducing labor costs, and improve the quality test cycle. Take a look at this ennomotive challenge to win up to 5,000 EUR in prizes.
BackgroundKDPOF (Knowledge Development for Plastic Optical Fiber) is a company that was founded in 2010. It develops semiconductors for gigabit and long-reach communications Plastic Optical Fiber (POF). By providing a flexible, robust, and affordable Gigabit networking technology that efficiently approaches the theoretical limit of the channel. It is able to transfer more than 1 Gbps, while the actual data-rates are between 100 Mbps and 150 Mbps. Although they are a young company, they have already received different public recognitions, like the one “PYME INNOVADORA” that is given by the Spanish Government to the top innovative SME’s in the country. What’s more, they are currently providing their technology for some of the top players in the automotive industry, such as MERCEDES or TOYOTA.
The Robotics Project ChallengeKDPOF technology is offered as an Application-Specific Integrated Circuit (ASIC) or chip. As in other companies, some lots have to be checked through a test cycle, according to an acceptance sampling plan agreed with the customers. Nowadays this test cycle is done manually, the operator has to wait for the completion of each test and manual errors might happen.
What the client is looking for:KDPOF is looking for a creative solution that can allow this process to be automated through robotics engineering, reducing their labour costs and improve their quality testing cycle. For this purpose, a robotics project using a cheap, solid and safe collaborative robot, which will be attached to the test table (pictures and videos available when joining the challenge).
Evaluation criteriaThe evaluation criteria in each of the rounds of this tournament are:
- Complies with required cycle time
- Lower investments and/or cost
- Nice to have: Can be integrated into test machine
- Feasibility evidence