Robotics and androids
This manner of work with robots is a major Nowadays robots systems have to be conceived from scratch. This demands specific knowledge of the robot and at least a certain programming language and the process the robot has to perform. Currently A.I. applied to robotics tries to resolve the problems using less descriptive and simpler mathematics implementations. This produces robotic systems that work in a similar manner as the ones that are programed. SelfStackedSystem in robotics will be used to give robots knowledge of their own capabilities and request a certain action, with the robot deciding the best way to achieve that same task, under certain requirements.
Human Machine interface
Human Machine Interface is defined as the space where interactions between humans and machines occurs. Here the main difficulty is make the machines understand fuzzy and multiple dimensional commands. Here, multimodal platforms that respond to the user based on a multitude of signals and behaviors is our final objective. HMI can take any forms and be designed to many applications and goals, as is known. We are developing an algorithm that accurately and efficiently integrates all received information, in real-time, and produce the desired commands. Since the humans require some time to learn to interact with these systems, the systems should also evolve alongside the user experience (despite being one or several). This leads to an evolution similar to what happens with babies has they learn to interact with the world.
Production industries take advantage of the natural improvement resulting from the repetition of a certain task and the utilization ration of a certain tool/machine, with these being used daily and almost during the entire day. While this provides cost reductions, it also makes the systems are highly rigid and future modifications are complicated, especial in inline production/assembly systems. Any update to an individual production cell, usually requires an update to the entire production line.
Using our technology enables all the production cells to learn with each other and evolve cooperatively. While this requires an update to all the production cells, delivers an extremely high production rate with extreme flexibility and adaptability.