 While our latest AIMEC:4 robot has a rudimentary self-learning system, our bigger vision (goal) is to produce self-teaching robots that can learn to perform tasks with the minimum of human programming and evaluate the best methods to help them interface with humans. Our robotic system starts with a base knowledge (human programmed concepts) but then the system attempts to learn new concepts by trial and error.
Much of current robotics development is by researchers giving robots step-by-step instructions for tasks and processes that it needs to perform. Our new system will teach concepts to itself instead of a human having to program them in the first place.
Our company is committed towards the development (and deployment) of cutting edge products and solutions in the following areas:
- Machine vision systems (Face/Object recognition and eye tracking systems)
- NLP (Natural Language Processing) solutions for more efficient human/machine speech interaction
- Robotics/Artificial Intelligence
- Emotion engines (to assist human/machine interactions)
- Self-learning A.I. algorithms (extracting knowledge from central database, internet and human tutors)
- Self-teaching A.I. algorithms (trial and error new concept learning)
- Advanced Robotic sensors
- Embedded systems (slave microcontroller nodes)
|
