70 Science & technology The Economist February 12th 2022
other sensors, to avoid bumping into staff.
Hence they tend to move slowly and are
cautious, which can result in bots fre
quently coming to a standstill and slowing
operations. However, machines that are
more capable and aware of their surround
ings are on the way.
For instance, nec, a Japanese electron
ics group, has started using “risksensitive
stochastic control technology”, which is
software similar to that used in finance to
avoid highrisk investments. In this case,
though, it allows a robot to weigh up risks
when taking any action, such as selecting
the safest and fastest route through a ware
house. In trials, necsays it doubles the av
erage speed of a robot without making
compromises on safety.
New tricks
The toughest job to automate in a ware
house is picking and packing, hence the
demand for extra pairs of hands during
busy periods. This task is far from easy for
robots because fulfilment centres stock
tens of thousands of different items, in
many shapes, sizes and weights.
Nevertheless, Amazon, Ocado, Exotec
and others are beginning to automate the
task by placing robotic arms at some pick
ing stations. These arms tend to use cam
eras and read barcodes to identify goods,
and suction pads and other mechanisms to
pick them up. Machine learning, a form of
ai, is employed to teach the robots how to
handle specific items, for example not to
put potatoes on top of eggs.
Ocado is also developing an arm which
could bypass a picking station and take
items directly from crates in the Hive.
Fetch Robotics, a Silicon Valley producer of
logistics robots that was acquired last year
by Zebra Technologies, a computing firm,
has developed a mobile picking arm which
can travel around a fulfilment centre.
Boston Dynamics, another Massachu
setts robotmaker, has come up with a
heavyweight mobile version called Stretch,
which can unpack lorries and put boxes on
pallets. On January 26th dhl, a logistics
giant, placed the first order for Stretch ro
bots. It will deploy them in its North Amer
ican warehouses over the next three years.
That timetable gives a clue that pro
gress will not be rapid. It will take ten to 15
years before robots begin to be adept at
picking and packing goods, reckons Zehao
Li, the author of a new report on ware
house robotics for idTechEx, a firm of Brit
ish analysts. Some companies think their
bots will be able to pick 80% or so of their
stock over the coming years, although
much depends on the range of goods car
ried by different operations.
Objects with irregular shapes, like ba
nanas or loose vegetables, can be hard for a
robot to grasp if it has primarily been built
to pick up products in neat packages. The
bot might also be restricted in what weight
it can lift, so would struggle with a flat
screen television or a heavy cask of beer.
Further into the future, systems could
emerge to overcome many of these limita
tions, such as multiarm robots.
So what jobs will remain? On the ware
house floor, at least, that mainly leaves
technicians maintaining and fixing ro
bots, says Mr Li. He thinks there are also
likely to be a handful of supervisors watch
ing over the bots and lending a hand if
there remains anything that their mechan
ical brethren still can’t handle. It is not just
inside the warehouse where jobs will go,
but outside, too, once driverless delivery
vehicles are allowed (see box on previous
page). At that point many products will tra
vel through the supply chain and to peo
ple’s homes untouched by human hand.
Peoplewillalsobeemployedbuilding
robots.AmazonRobotics’snewfactorywill
createmorethan 200 newmanufacturing
jobs,althoughthatdwindlesintoinsignifi
cancecomparedwiththemorethan1m
jobswhichthepioneerofecommercehas
createdsincethefirstrobotsarrivedinits
fulfilmentcentres.Alotofthosejobsare
boundtogo,althoughmanyaremonoto
nousandstrenuous,whichiswhytheyare
hardtofill.
However,otherjobswillemerge.Tech
nological change inevitably creates new
rolesforpeople.Inthe1960sthereusedto
be thousands of telephone switchboard
operators,ajobwhichhasalmostdisap
pearedsinceexchangesbecameautomat
ed.Butthenumberofotherjobsintele
comshassoared.Aslogisticsgetsmoreef
ficient throughgreater automation, and
onlinebusinessesgrow,theoveralllevelof
employment inecommerce shouldstill
increase.Manyoftheseroleswillbediffer
entsortsofjobs,justastherearemanydif
ferentsortsofrobot.n
Botany
Deafened
M
any animalsdepend upon sound to
find food, detect predators and com
municate with one another. These species
understandably suffer when loud motor
ways cut through their habitats. Some cope
by singing more loudly, some change the
timing of their calls to occur when fewer
people are driving, others just move to
quieter locales.
All of these actions come with signifi
cant costs attached and scientists have
longdocumented the ecological damage
caused by noise pollution. It has always
been assumed, however, that noise is a
problem unique to animals. But a new stu
dy by Ali Akbar GhotbiRavandi, a botanist
at Shahid Beheshti University in Tehran,
has revealed that plants suffer too.
That plants can be hampered indirectly
by noise pollution has never been in doubt.
Since most flowering species depend upon
pollinators and most fruitbearing species
need animals to disperse their seeds, it is
obvious that if these animal partners are
harmed by noise then their botanical
counterparts will do badly, too. What has
remained unknown is whether or not
plants themselves suffer directly from
noise pollution.
Sounds are concussive pressure waves
transmitted through gases, liquids and sol
ids. Scientists have previously hypothe
sised that plants may be able to sense these
waves as they are struck by them. A num
ber of experiments have confirmed this in
recent years—plants bombarded with
ultrasound in the lab have shown a range
of adverse responses including the expres
sion of stressrelated genes, stunted
growth and reduced germination of seeds.
Yet blasting plants with ultrasound is
not the same as growing them in the pres
ence of actual traffic noise. To this end, Dr
GhotbiRavandi decided to set up an ex
periment to study precisely this question.
Working with a team of colleagues, Dr
GhotbiRavandi grew two species in his lab
that are commonly found in urban envi
ronments—French marigolds and scarlet
sage. The plants were grown from seed and
allowed to mature for two months in the
same space before they were divided into
two groups. One group was exposed to 73
decibels of traffic noise recorded from a
busy motorway in Tehran for 16 hours a
day. The other group was left to grow in si
lence. After 15 days had passed, samples
Plants are adversely affected by the
racket of urban traffic
Stress and the city