The Goal Optimization using Learning and Decision-Making  (GOLD) lab is part of the Bar Ilan's Robotics Consortium.
The lab consists of students, robots, AIs, and babies.

We develop algorithms that enable virtual agents and robots to be good teammates to people. These algorithms infer the goals and plans of collaborative agents, negotiate different courses of actions that will be acceptable by the people around them, and reason about their teammates' preferences, knowledge, and skills.