Robot researcher Mark Yim offers a look inside the promising field of modular reconfigurable robotics — bots that can shift form to tackle an array of tasks.

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In a lab at the University of Washington, robots are playing air hockey.

Or they’re solving Rubik’s Cubes, mastering chess or painting the next Mona Lisa with a single laser beam.

As the robots play, the researchers who built them are learning more about how they work, how they think and where they have room to grow, said Xu Chen, one of those researchers and an associate professor of mechanical engineering at UW.

Can robots adapt their own working methods to solve complex tasks? Researchers at Chalmers University of Technology, Sweden, have developed a new form of AI, which, by observing human behavior, can adapt to perform its tasks in a changeable environment. The hope is that robots that can be flexible in this way will be able to work alongside humans to a much greater degree.

“Robots that work in human environments need to be adaptable to the fact that humans are unique, and that we might all solve the same task in a different way. An important area in robot development, therefore, is to teach robots how to work alongside humans in dynamic environments,” says Maximilian Diehl, Doctoral Student at the Department of Electrical Engineering at Chalmers University of Technology and main researcher behind the project.

When humans carry out a simple task, such as setting a table, we might approach the challenge in several different ways, depending on the conditions. If a chair unexpectedly stands in the way, we could choose to move it or walk around it. We alternate between using our right and left hands, we take pauses, and perform any number of unplanned actions.