Emma the robot masseuse gets to work in Singapore


A robot masseuse named Emma is offering high-tech back rubs with a gigantic metal arm and warm silicone tips.

For S$68, customers at NovaHealth TCM clinic get half an hour of robotic massage. (Photo: AFP / Roslan Rahman)

SINGAPORE: A robot masseuse named Emma is offering Singaporeans high-tech back rubs with a gigantic metal arm and warm silicone tips which its creators say perfectly mimic the human touch.

The robot, the brainchild of local startup AiTreat, began work at a clinic in Singapore this week and performs “tui na”, a type of massage practised in traditional Chinese medicine.

Emma, which stands for Expert Manipulative Massage Automation, consists of a white metal arm with heated silicone tips that mimic the human palm and thumb.

For S$68, customers at the traditional Chinese medicine clinic get half an hour of robotic massage – on the back or other parts of the body that are aching – five minutes of massage by a human therapist and around 20 minutes of acupuncture.

Ms Calista Lim, a Beijing-trained physician at the NovaHealth TCM clinic, said the robot eases her workload, allowing her to focus on seeing more patients.

Singaporean physician Calista Lim takes the pulse reading of patient Elaine Low, before Low receives a massage by a robot masseuse. (Photo: AFP / Roslan Rahman)

“There are days that … humans feel a little tired or under the weather and they may be a little reluctant to do extra work,” she said.

“But for Emma, once I say go, then she goes to work.”

She said the massage robot is also useful in plugging a labour shortage, as it can be difficult to find good therapists in Singapore.

Tui na involves applying pressure to certain points of the body. Practitioners of Chinese medicine believe it can help relieve various ailments from headaches to depression.

Emma the robot maseusse is the brainchild of local startup AiTreat. (Photo: AFP / Roslan Rahman)

Mr Zhang Yizhong, chief executive of AiTreat, which was nurtured by Nanyang Technological University, said Emma uses sensors to detect stiffness in the human body and how well blood is flowing to more effectively massage patients.

Still, Ms Lim conceded some patients were initially apprehensive about being massaged by a machine “because they watch a lot of horror movies”.

But most warmed to the idea after trying it out.

Ms Elaine Low, 35, who suffers from back pain, said she enjoyed the experience.

“It feels very warm, very comfortable,” she said.

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