CMU Researchers Develop Algorithm To Divvy Up Tasks for Human-Robot Teams

People are better suited for some tasks, robots for others. Researchers at Carnegie Mellon University’s Robotics Institute (RI) have developed an algorithmic planner that helps delegate tasks to humans and robots. The planner, “Act, Delegate or Learn” (ADL), considers a list of tasks and decides how best to assign them. The researchers asked three questions: When should a robot act to complete a task? This requires the robot to predict what other tasks it can complete after learning a new task.