Kindai University improves automated red sea bream juvenile sorting system with Panasonic Connect’s collaborative robot control service

On September 24, 2026, automation-news.jp reported that Kindai University would conduct a trial introduction of Panasonic Connect’s collaborative robot control service, “Robo Sync for Cobot,” as it improves an automated sorting system for juvenile red sea bream for aquaculture, with the aim of putting the system to practical use.

The report shows that collaborative robot control services could be applied to processes beyond logistics and manufacturing. Kindai University’s application is an automated sorting system for juvenile red sea bream, and control stability is likely to be a challenge in processes that require delicate handling.

What the report confirms is that Panasonic Connect’s collaborative robot control service, “Robo Sync for Cobot,” will be trialed as part of improvements to Kindai University’s automated sorting system. In other words, this is not the introduction of a new robot, but the integration of a control service into an existing sorting system; its role is closer to improving operations than replacing equipment. The report provides no specifications, unit count, performance figures or scope of deployment beyond the trial introduction, so readers should consult the original source for details. Our previous coverage shows that Panasonic Connect introduced a control service for transport robots in its announcement of an integrated transport robot service, and added image processing and recognition capabilities in its expansion of Robo Sync. The latest report indicates that the control platform’s potential applications may extend beyond logistics and manufacturing to sorting processes in aquaculture. The key issue, however, is not simply the platform’s potential to expand into new businesses, but how reliably it can handle the positioning and motion control needed to work with juvenile fish. In aquaculture, automating the preliminary step of sorting juvenile fish can affect the workload in subsequent rearing and shipping processes. If a collaborative robot control service is used in this process, the focus will be on integrating the equipment, control system and on-site operations, rather than on the robot’s capabilities alone. Questions to watch include the scope of the trial, what aspects of the sorting system are being improved, when the system is expected to be put to practical use, and how much information will be disclosed about the sorting targets and operating conditions.

If automated sorting in aquaculture moves closer to practical use, Japanese robotics companies will need to demonstrate their ability to offer not only robots but also control, image recognition and on-site implementation. In processes involving small subjects such as juvenile fish and demanding handling conditions, the suitability of the control platform could be more important to competitiveness than the equipment alone.