Published: 29.06.11
Science

“Robots must be easy to use”

Rodney Brooks is one of the world’s most renowned roboticists. He was Head of the «MIT Computer Science and Artificial Intelligence Laboratory» until 2007 and founded the two American companies iRobot and Heartland Robotics. He was recently invited to ETH Zurich for the first symposium of the National Centre of Competence in Research Robotics. Among other things, he spoke to ETH Life about why robots still have trouble recognising the difference between a heap of sugar and dirty laundry.

Interview: Christine Heidemann
At the first symposium of the National Centre of Competence in Research Robotics, Rodney Brooks talked about the enormous opportunities for using robots in everyday life.
(Photo: Philippe Neidhart / ETH Zurich)
At the first symposium of the National Centre of Competence in Research Robotics, Rodney Brooks talked about the enormous opportunities for using robots in everyday life. (Photo: Philippe Neidhart / ETH Zurich) (large view)

Mr Brooks, how many robots are in use at your house?
I’ve got two: the vacuum cleaner robot Roomba and Scooba 230, a little robot that mops the bathroom – both of which were developed at iRobot.

You’re best known for the behaviour-based artificial intelligence you publicised in the early 1980s, according to which robots, to put it simply, act instinctively, like insects, directly according to their sensor data, without an elaborate map. Are you satisfied with how this concept is being implemented in robots today?
Behaviour-based robotics is on the up. It’s used in the robots Roomba and Scooba we developed, for instance, and in self-driving car or Mars robots. But the technology has far from been exhausted, so a couple of years ago I thought to myself: either I stay at MIT and become a grumpy old professor who gets annoyed because his ideas aren’t being capitalised or I start a company and see them through.

You opted for industry and thus experience in both fields – research and industry. Where do you see the biggest fields of application, the biggest market opportunities for robots?
Most certainly in a society where people live longer. That’s where there’ll be a great demand, such as in China, for instance, on account of the one-child policy. But how you’re supposed to translate that demand into products still remains to be seen. We’ve got the technology but what are we supposed to build with it that really helps? I believe there could ultimately be many little devices one day – that can carry the shopping upstairs, for example. After all, people want to live longer in the environment they’re used to.

The robot as friend and helper?
Contrary to what many Japanese companies are predicting, I don’t believe robots will become our friends. It’s about enabling people to preserve their dignity and independence for longer. And robots can help them to do so.

Where else can robots help us?
In agriculture, for instance. Robot systems in tractors control the amount of fertiliser or seed to be scattered based on the moisture measured on the fields – and the tractors themselves are even robot-controlled. And another major market, of course, is the military, where robots help diffuse bombs and sweep for mines. And they’re used in disasters like in Fukushima. Safety systems in cars is another area that’s becoming increasingly important.

Besides price, what are the main criteria for being able to commercialise robots?
Ease of use can’t be rated highly enough. I don’t want to waste any time unnecessarily trying to find out how something works. A robot should be easy to operate; otherwise no one will buy or use it.

That’s where the developers come in. What are the biggest technological challenges in building robots?
Perception is still a problem. If a robot is supposed to clean a house, it needs to recognise the difference between a pile of paper, a heap of sugar and laundry, and treat these things differently; it shouldn’t put the sugar in the washing machine. And we haven’t made a vast amount of progress in gripping and manipulating objects, either.

So what we need is another visionary, groundbreaking idea like yours on artificial intelligence, then?
Certainly not from me [laughs]; it’s up to my younger colleagues now. No, in all seriousness: you try things out, put them on the back burner for ten or twenty years, then try them again. Navigating robots was already attempted back in the 1960s, for instance, but it didn’t work very well. But in the 1990s it came off and the problem with navigation has pretty much been solved. You have to try again every twenty or thirty years; the second or third time round you end up hitting the jackpot.

Is a programme like the National Centre of Competence in Research Robotics in Switzerland a promising approach to succeed more quickly perhaps?
An interdisciplinary collaboration like the one between the four institutions at the National Centre of Competence in Research (see box) is very important. The exchange of ideas it entails can be especially fruitful.

In which areas of our lives will robots have the biggest impact in twenty years?
Devices that perceive, calculate and act in the world are bound to be extremely widespread. But it’s difficult to predict in what form as yet.

What are your dreams and goals when you think of the future of robotics?
You could say I’ve already lived my dream – from a time when there wasn’t a single robot in the world to the millions of robots we have today. Then again, a key aspect is relieving people of mundane or dangerous jobs. Yes, increasingly taking the burden off people through robotics is definitely something that would make me happy.

National Centre of Competence in Research Robotics

The National Centre of Competence in Research Robotics – “Intelligent Robots for Improving the Quality of Daily Life” was launched by the Swiss National Science Foundation at the end of 2010. Under the programme, scientists are looking to develop robot technology that is geared towards people over the next twelve years. The programme unites leading robotics experts from ETH Zurich, the University of Zurich, EPF Lausanne and the Dalle Molle Institute for Artificial Intelligence based in Lugano. It is coordinated by EPF Lausanne.