Below are some examples of ground breaking applications of Developmental AI to several key business problems, which all require semantically grounded understanding of complex situations, world modeling, reasoning, and some form of theory-of-mind implementation to represent the other's intentions:
Chat bots that really understand what they are talking about, capable to handle meaning, hold a conversation and build a model of the person they are talking to.
Full Level 5 self-driving vehicle, capable to handle out of distribution situations and react in understandable ways.
The last mile of logistics is the more difficult to automate, because it's the most unpredictable. Developmental AIs can help to bridge this gap.
Adaptable and dependable elderly care systems that really understand situations, intentions and needs to better complement human care.
With developmental AI-based automated teachers and courses, we can achieve high level of context understanding to better adapt learning to each child.
Robots that can be taught, and not simply programmed, especially for complex and not well specified tasks requiring common sense.