AI / SOFTWARE

We covered learning in AI in this post. After learning is complete, there is the reasoning, decision making and planning stage. In short, after an AI model extracts information from data and learns, it applies this knowledge for reasoning. Then it decides a course of action, which is the decision making part. And finally, it plans the consecutive actions, which is the planning part. Now […] Read More

We can divide learning of AI, which is called the Machine Learning (ML) into the following categories: Supervised Learning Unsupervised Learning Reinforcement Learning Hybrid / Newer Methods A humanoid robot’s learning, although still falls under the main categories above, is quite different than an AI model that exists only as an algorithm because in the case of humanoid robot we have the data input that […] Read More

Control systems in a humanoid robot serve as the layer between the main AI system (that is responsible from the overalllearning, planning, reasoning and decision making of a robot) and the hardware that will enable robot’s actions. According to the “order” given by the AI, the control system then executes this order, while at the same time coordinating all systems within the robot. The highest […] Read More

Analysis of Sensor Data A humanoid robot receives information about its surroundings and also about its own state at a given time and location through its sensors. This information is then used to decide the proper course of action accordingly and then executing these decisions. Sensor inputs are often analyzed as combined inputs in order to obtain better overall information and improve accuracy. There are […] Read More