The robot that helps you dress

15 May 2018

Credit: Georgia Tech

Millions of people require daily physical assistance to get dressed because of injury, disease and advanced age: enter a robot that can help humans to wear gowns.

The machine does not use its ‘eyes’ as it pulls the cloth. Instead, it relies on the forces it feels as it guides the garment onto a person's hand, around the elbow and onto the shoulder.

The machine, a PR2, taught itself in one day, by analysing nearly 11,000 simulated examples of a robot putting a gown onto a human arm. While some of those attempts were flawless, others were spectacular failures: the simulated robot applied dangerous forces to the arm when the cloth would catch on the person's hand or elbow.

From these examples, the PR2's neural network learned to estimate the forces applied to the human. In a sense, the simulations allowed the robot to learn what it feels like to be the human receiving assistance.

"People learn new skills using trial and error. We gave the PR2 the same opportunity," said Zackory Erickson, the lead Georgia Tech PhD student on the research team. "Doing thousands of trials on a human would have been dangerous, let alone impossibly tedious. But in just one day, using simulations, the robot learned what a person may physically feel while getting dressed."

The robot also learned to predict the consequences of moving the gown in different ways. Some motions made the gown taut, pulling hard against the person's body. Other movements slid the gown smoothly along the person's arm. The robot uses these predictions to select motions that comfortably dress the arm.

Credit: Georgia Tech

After success in simulation, the PR2 attempted to dress people. Participants sat in front of the robot and watched as it held a gown and slid it onto their arms. Rather than vision, the robot used its sense of touch to perform the task based on what it learned about forces during the simulations.

"The key is that the robot is always thinking ahead," said Charlie Kemp, an associate professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University and the lead faculty member. "It asks itself, 'if I pull the gown this way, will it cause more or less force on the person's arm? What would happen if I go that way instead?'"

The researchers varied the robot's timing and allowed it to think as much as a fifth of a second into the future while strategising about its next move. Less than that caused the robot to fail more often.

"The more robots can understand about us, the more they'll be able to help us," Kemp said. "By predicting the physical implications of their actions, robots can provide assistance that is safer, more comfortable and more effective."

The robot is currently able to put the gown on one arm, and the entire process takes about 10 seconds. The team says that fully dressing a person is something that is many steps away.


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