The approach, joint cognitive systems, treats a robot as part of a human-machine team where the intelligence is synergistic, arising from the contributions of each agent. The team consists of at least one robot and one human and is often called a mixed team because it is a mixture of human and robot agents. Self-driving cars, where a person turns on and off the driving, is an example of a joint cognitive system. Entertainment robots are examples of mixed teams as are robots for telecommuting. The design process concentrates on how the agents will cooperate and coordinate with each other to accomplish the team goals. Rather than treating robots as peer agents with their own completely independent agenda, joint cognitive systems approaches treat robots as helpers such as service animals or sheep dogs. In joint cognitive system designs, artificial intelligence is used along with human-robot interaction principles to create robots that can be intelligent enough to be good team members.