A startup called Kyber Labs presented a new demonstration that can completely change automation in medical laboratories, instead of building an entire robot, they focused on something much more specific and much more difficult, a robotic hand capable of manipulating objects with extreme precision.

The system performed real laboratory tasks, piping liquids, opening microcentrifuge tubes and operating equipment such as shakers, simple things for a human, but extremely complex for a machine and the reason is clear, laboratories were not made for robots. The entire environment was designed for human hands, from the ergonomics of the pipettes to the strength of the plastic tubes, which demand strength and control at the same time and that is exactly where this technology shines.

The Kyber Labs hand has 20 degrees of freedom, allowing fine movements, complex coordination and adaptation in real time, it does not use only force, it reproduces dexterity, but what differentiates this system is not the hardware, it is the software, while much of the industry put in place by massive artificial intelligence models that try to learn everything at once, Kyber Labs followed an opposite path, dividing each task into small independent actions, taking a pipette, turning a cap and moving a support and then chaining those actions in a controlled flow.

The above brings three critical advantages: traceability, each stage can be recorded and validated, something essential in clinical environments; control, a human can adjust or remove parts of the process precisely; e efficiency, the system can run directly on the device itself without depending on constant connection to the cloud, that is, less latency and more reliability and this solves a real problem. Laboratories around the world face labor shortages while using expensive equipment designed exclusively for manual use.

Automating this environment has always been difficult, precisely for this reason, but now instead of adapting the laboratory for robots, the robots are being adapted to the laboratory and when robotics begins to solve tasks with this level of precision, questions arise, of course, and how much nature itself can be replicated.