MIT researchers have devised an algorithm that enables a robot to quickly learn an individual’s preference for a certain task, and adapt accordingly to help complete the task. The group is using the algorithm in simulations to train robots and humans to work together.
The researchers say robots such as FRIDA, designed by Swiss robotics company ABB, may be programmed to help in the spar-assembly process. FRIDA is a flexible robot with two arms capable of a wide range of motion that can be manipulated to either fasten bolts or paint sealant into holes, depending on a human’s preferences.
Using the model, the group performed human experiments, training a laboratory robot to observe an individual’s chain of preferences. Once the robot learned a person’s preferred order of tasks, it then quickly adapted, either applying sealant or fastening a bolt according to a person’s particular style of work.
Also: Learn about an axel robotic platform for crater and extreme terrain exploration.
