AI in service robotics: imitation learning, multi-agent learning & chatbots

The use of robots in non-industrial environments is set to continue increasing more and more over the coming years. Robots in industrial environments which are more structured, usually perform specific tasks in well-defined environments, whereas non-industrial environments can be complex and unpredictable, therefore robots that will operate in these environments need more skills – making enhanced Artificial Intelligence (AI) essential to success in service robotics. Essentially, AI in service robots brings learning and decision-making capabilities into applications that were previously inclined to do pre-programmed tasks. Within the broader category of AI, there are the subcategories of Machine Learning and Deep Learning. Machine Learning is an application of AI that lets algorithms gather data and then learn from the data to make decisions based on what has been learned.