There is already a chronic shortage of qualified staff in the nursing sector, and demographic change will only exacerbate this development. Consequently, a research team at the German Aerospace Center is developing robots for use in nursing homes.
Written by Johannes Giesler
Illustration by Liebana Goñi
July 07, 2020
The small one-room apartment could feature in a furniture catalog: Brightly colored plastic fruits lie on the kitchen counter, a photo of a juicy roast is attached to the oven door, a large television is mounted on the wall above a sideboard, and vis-a-vis is an angular sofa and a small cabinet. Only the wheelchair does not quite seem to fit into the setting. And yet, everything here was set up specifically because of it.
The one-room apartment is an experimental laboratory at the Institute of Robotics and Mechatronics of the German Aerospace Center (DLR). Here EDAN, the wheelchair, is learning how to function. It is being taught by Jörn Vogel and his team. Because EDAN is more than just a means of getting around, it is a “robotic research platform”. Crammed with electronics and an artificial intelligence computer system. Thanks to cameras and sensors attached to the headrest, EDAN can observe and interact with its environment. Or, as its developers put it, “manipulate” it. This is made possible by its blue-silver robotic arm equipped with a slender hand.
EDAN is more than just a means of getting around, it is a “robotic research platform”. Crammed with electronics and an artificial intelligence computer system.
The intelligent wheelchair is controlled using an electromyograph (EMG),
which measures muscle signals. There are diseases such as spinal muscular
atrophy that cause paralysis of the entire body. However, the brain continues
to send signals to the muscles, which can be measured using the EMG and
converted into movements by EDAN. EDAN (EMG-controlled daily assistant) is
designed for people with motor impairments. However, it can also be maneuvered
using a joystick or a tablet that is normally attached to the armrest.
Now, however, it is in the hands of Jörn Vogel. He wants to demonstrate what EDAN is capable of and taps on the screen. The tablet displays EDAN’s camera perspective on the laboratory apartment, in its focus: the cabinet. Vogel selects the “power grip” function. From here on the wheelchair knows what it has to do. The cabinet’s top drawer is highlighted in green. The wheelchair moves, corrects its direction, and approaches its destination. Its robotic arm moves upwards – its movements exude elegance. This is made possible by seven joints with torque sensors that enable very precise positioning. EDAN carefully puts its rubberized fingertips on the drawer handle. However, it does not grasp it like a human would. It simply applies a gentle pressure and slowly withdraws. The drawer opens to reveal a plastic banana.
With some 2000 researchers, the DLR facility in Oberpfaffenhofen near Munich is one of the largest research centers in the German-speaking world. Here, Jörn Vogel is in charge of the SMiLE project: “Service robotics for people in life situations with impairments”. EDAN is intended to perform everyday tasks, such as closing a window or pouring a glass of water, for people who can no longer move due to illness or old age.
And not only in private homes: “In a few years’ time, our robots will be able to support staff and residents in inpatient care facilities,” Jörn Vogel emphasizes. The 37-year-old stands next to EDAN in the living room laboratory, which is surrounded by monitors and whiteboards, with thick cable runs stretching across the floor. He grins – he is in his element. He comes across as a friendly, engaging person and is one of those researchers who are able to put their enthusiasm for their own field into words. For example: “We want our robotics systems to give people back a measure of independence.” Or: “Our previous experiments were a tremendous experience for me.”
We want our robotics systems to give people back a measure of independence
Already in 2012 Jörn Vogel witnessed how robots can help people. At that time he was involved in an experiment that was subsequently published in the “Nature” journal: An interface was implanted in the brain of a test subject. The implant responded to her thoughts and transmitted commands to a robotic arm. A modified version of this interface is now used in EDAN. The controls were rudimentary: The only commands the test subject, Cathy Hudginson, was able to give via the brain-computer interface were “forwards”, “backwards”, “left”, “right”, “reach”, “lift, and “tilt”.
Nevertheless, the implant enabled the paraplegic woman to drink from a cup without human assistance. “It was the first time in 15 years that she was able to drink without someone else’s help. Whenever she was thirsty, she always had to wait until someone asked her. Following a stroke, she is no longer able to speak,” Jörn Vogel explains.
Jörn Vogel does not want his robots to replace nursing staff. Quite the contrary: The goal is to reduce the burden on caregivers to improve the quality of their work. “You cannot replace human care. A robot simply lacks the empathy,” Jörn Vogel says. But if a mug is dropped, the robot arm could clear it up and wipe up the spill. But only if somebody tells it to do so. EDAN’s role is to assist, not to drive around and independently search for things to do.
You cannot replace human care. A robot simply lacks the empathy!
SMiLE was born out of
assistant robots designed for space travel. Originally the task of the robots –
in addition to EDAN, the DLR is also researching other systems – was to support
astronauts in space. Later it became clear that they could contribute a great
deal to transform a second sector: patient care. Many European countries are
experiencing a shortage of qualified care professionals, and many vacancies
remain unfilled. The figure in Germany is estimated to be as high as 80,000.
Projections suggest that 15 years from now there could be a shortage of between
150,000 to 300,000 care personnel.
Because the engineer Jörn Vogel and his team are not sufficiently familiar with daily nursing routines, SMiLE brings together experts from the fields of robotics, nursing ethics, nursing studies, and nursing documentation: What are the ethical prerequisites for the work with physically handicapped people? Which tasks can be performed by robots? Mid-year, the laboratory phase is scheduled to move from Oberpfaffenhofen to a real nursing environment of the Caritas association in Garmisch-Partenkirchen. This is where the people requiring care, care workers, and robots come together.
“Closing the loop” is what Jörn Vogel calls this
step. What most people know about robots comes only from movies and television.
In this real-life environment, he wants to demonstrate what they are actually
capable of doing and what not. “In return, we are interested in what kind of
help caregivers might want and what services those in need of care would
appreciate,” Jörn Vogel explains. His goal in Garmisch-Partenkirchen is not to
test his system, but to “identify realistic application scenarios”, which he
will develop further in a later phase. He hopes that caregivers and residents
will come up with the best ideas in their familiar surroundings.
EDAN’s robotic arm learns to move through human guidance. Jörn Vogel initiates the learning mode by selecting the “arm manual” setting on the tablet: This allows the arm, which is smooth and surprisingly warm and which vibrates gently due to the electrical system and motors inside, to be guided. Jörn Vogel seizes it and stretches, bends, and twists it into constantly new positions, curving its fingers or leaving the hand suspended in the air. In this way – in something akin to a dance with its engineer – EDAN practices wiping, grasping, “manipulating”. This is also how it learned to open a drawer or hold a mug.
The idea is for the robots to “understand” that they should not only pick up a dropped glass, but also wipe up the spill
“The greatest challenge
is to deal with variation,” Jörn Vogel explains. “Our system is currently
learning to interpret its sensor data and draw the right conclusions. We do not
want to model every object in the room individually, but rather to teach EDAN
to draw conclusions from one specific cup, which it can then apply to many
different cups.” The idea
is for the robots to “understand” that they should not only pick up a dropped
glass, but also wipe up the spill. Programming this partial autonomy to
be reliable and robust – i.e. not susceptible to errors – is the most difficult
In the laboratory EDAN is permitted to make mistakes, drop objects. Later, it must navigate without accidents, even in unfamiliar environments. Under no circumstances must it pose a danger to people in care facilities. Thanks to its highly sensitive sensors, EDAN has the required technical prerequisites. This has already been demonstrated during a parallelproject: EDAN’s robotic system is also being researched for use in surgery to assist with minimally invasive procedures. During one experiment, the robotic hand guided a scalpel towards a pig skin. Before the blade penetrated the skin, the system detected the contact. No cut, no injury. “That’s how finely it can be tuned,” Jörn Vogel emphasizes. “Safety is paramount. Whenever it interacts with people, we apply the precautionary principle and always have a finger hovering over the emergency stop button.”
The exciting thing about EDAN is that it doesn’t do anything without receiving an external command. Over the next few years we will therefore learn a great deal more about how people behave with the system and how they use it.
The SMiLE project is
scheduled to run for another four and a half years. This is the period for
which the funding is secured by the Bavarian Ministry of Economics and the DLR:
with 4.5 million euro. By then Jörg Vogel hopes that EDAN will have learned
many new application scenarios. Even if these only become concrete during the
interaction with test persons. When they are “in the loop”, as Jörg Vogel dubs
this process. “The
exciting thing about EDAN is that it doesn’t do anything without receiving an
external command. Over the next few years we will therefore learn a great deal
more about how people behave with the system and how they use it. Maybe
they will use it entirely differently than we programmed it.”