The Prague Post - Drone swarms can now fly autonomously through thick forest

EUR -
AED 4.246253
AFN 73.412301
ALL 96.383428
AMD 432.970609
ANG 2.06934
AOA 1060.262144
ARS 1636.671131
AUD 1.648055
AWG 2.081213
AZN 1.946815
BAM 1.945334
BBD 2.33932
BDT 140.653282
BGN 1.905057
BHD 0.436402
BIF 3446.855486
BMD 1.156229
BND 1.488273
BOB 7.947244
BRL 6.101771
BSD 1.161523
BTN 105.632694
BWP 15.762816
BYN 3.41797
BYR 22662.097436
BZD 2.336005
CAD 1.566274
CDF 2569.722857
CHF 0.900674
CLF 0.027015
CLP 1066.36766
CNY 7.974226
CNH 8.004091
COP 4362.095325
CRC 554.601187
CUC 1.156229
CUP 30.640081
CVE 109.674946
CZK 24.417371
DJF 206.830097
DKK 7.470491
DOP 69.151867
DZD 152.372523
EGP 61.02618
ERN 17.343442
ETB 180.155581
FJD 2.559256
FKP 0.862058
GBP 0.865959
GEL 3.150736
GGP 0.862058
GHS 12.444051
GIP 0.862058
GMD 84.98315
GNF 10184.667415
GTQ 8.823529
GYD 240.615484
HKD 9.03672
HNL 30.742646
HRK 7.534454
HTG 152.373232
HUF 398.075938
IDR 19611.964118
ILS 3.599232
IMP 0.862058
INR 106.678528
IQD 1521.522412
IRR 1527032.248961
ISK 145.103668
JEP 0.862058
JMD 181.898769
JOD 0.819778
JPY 183.205133
KES 149.326829
KGS 101.113018
KHR 4660.899182
KMF 490.241182
KPW 1040.60617
KRW 1720.718026
KWD 0.356095
KYD 0.96794
KZT 573.853122
LAK 24871.630399
LBP 104011.02834
LKR 361.341797
LRD 209.890783
LSL 19.427998
LTL 3.414045
LVL 0.699391
LYD 7.401283
MAD 10.725596
MDL 20.088161
MGA 4836.729426
MKD 61.623919
MMK 2428.164112
MNT 4126.69093
MOP 9.354947
MRU 46.482626
MUR 54.262112
MVR 17.875451
MWK 2014.048286
MXN 20.681499
MYR 4.582152
MZN 73.93
NAD 19.427914
NGN 1617.726717
NIO 42.741651
NOK 11.176709
NPR 170.6918
NZD 1.957271
OMR 0.444569
PAB 1.150112
PEN 3.961388
PGK 5.002452
PHP 68.773679
PKR 324.431942
PLN 4.278278
PYG 7599.172804
QAR 4.194036
RON 5.096773
RSD 117.417397
RUB 90.472962
RWF 1694.125658
SAR 4.34048
SBD 9.302077
SCR 17.218673
SDG 695.47418
SEK 10.692914
SGD 1.479857
SHP 0.867472
SLE 28.356498
SLL 24245.552932
SOS 662.58244
SRD 43.539555
STD 23931.615425
STN 24.610458
SVC 10.162568
SYP 127.855757
SZL 19.43339
THB 37.069297
TJS 11.058008
TMT 4.058365
TND 3.378921
TOP 2.783923
TRY 50.971075
TTD 7.87029
TWD 36.881429
TZS 2983.072234
UAH 50.753615
UGX 4244.166295
USD 1.156229
UYU 45.246572
UZS 14025.542285
VES 491.561711
VND 30382.819662
VUV 138.024512
WST 3.168634
XAF 658.922967
XAG 0.013856
XAU 0.000227
XCD 3.124768
XCG 2.093286
XDR 0.819482
XOF 658.920105
XPF 119.331742
YER 275.760792
ZAR 19.361074
ZMK 10407.458324
ZMW 22.456987
ZWL 372.305415
  • CMSC

    -0.0850

    23.1

    -0.37%

  • RBGPF

    0.1000

    82.5

    +0.12%

  • NGG

    -0.7300

    89.13

    -0.82%

  • RIO

    -1.9990

    88.211

    -2.27%

  • CMSD

    -0.1950

    23.005

    -0.85%

  • GSK

    0.1100

    54.62

    +0.2%

  • BP

    0.4050

    40.845

    +0.99%

  • BTI

    0.0100

    57.88

    +0.02%

  • BCC

    -3.1400

    72.21

    -4.35%

  • BCE

    -0.0650

    25.995

    -0.25%

  • RELX

    -0.2600

    35.42

    -0.73%

  • RYCEF

    -0.6500

    16.35

    -3.98%

  • JRI

    -0.0900

    12.48

    -0.72%

  • VOD

    -0.2480

    14.262

    -1.74%

  • AZN

    -1.9500

    192.27

    -1.01%

Drone swarms can now fly autonomously through thick forest
Drone swarms can now fly autonomously through thick forest / Photo: Handout - Yuman Gao and Rui Jin/AFP

Drone swarms can now fly autonomously through thick forest

A swarm of 10 bright blue drones lifts off in a bamboo forest in China, then swerves its way between cluttered branches, bushes and over uneven ground as it autonomously navigates the best flight path through the woods.

Text size:

The experiment, led by scientists at Zhejiang University, evokes scenes from science fiction -- and the authors in fact cite films such as "Star Wars," "Prometheus" and "Blade Runner 2049" in the opening of their paper published Wednesday in the journal Science Robotics.

"Here, we take a step forward (to) such a future," wrote the team, led by Xin Zhou.

In theory, there are myriad real world applications, including aerial mapping for conservation and disaster relief work. But the technology has needed to mature so that flying robots can adapt to new environments without crashing into one another or objects, thus endangering public safety.

Drone swarms have been tested in the past, but either in open environments without obstacles, or with the location of those obstacles programmed in, Enrica Soria, a roboticist at the Swiss Federal Institute of Technology Lausanne, who was not involved in the research, told AFP.

"This is the first time there's a swarm of drones successfully flying outside in an unstructured environment, in the wild," she said, adding the experiment was "impressive."

The palm-sized robots were purpose-built, with depth cameras, altitude sensors and an on-board computer. The biggest advance was a clever algorithm that incorporates collision avoidance, flight efficiency and coordination within the swarm.

Since these drones do not rely on any outside infrastructure, such as GPS, swarms could be used during natural disasters.

For example, they could be sent into earthquake-hit areas to survey damage and identify where to send help, or into buildings where it's unsafe to send people.

It's certainly possible to use single drones in such scenarios, but a swarm approach would be far more efficient, especially given limited flight times.

Another possible use is having the swarm collectively lift and deliver heavy objects.

There's also a darker side: swarms could be weaponized by militaries, just as remote-piloted single drones are today. The Pentagon has repeatedly expressed interest and is carrying out its own tests.

"Military research is not shared with the rest of the world just openly, and so it's difficult to imagine at what stage they are with their development," said Soria.

But advances shared in scientific journals could certainly be put to military use.

- Coming soon? -

The Chinese team tested their drones in different scenarios -- swarming through the bamboo forest, avoiding other drones in a high-traffic experiment, and having the robots follow a person's lead.

"Our work was inspired by birds that fly smoothly in a free swarm through even very dense woods," wrote Zhou in a blog post.

The challenge, he said, was balancing competing demands: the need for small, lightweight machines, but with high-computational power, and plotting safe trajectories without greatly prolonging flight time.

For Soria, it's only a matter of a few years before we see such drones deployed in real-life work. First, though, they will need to be tested in ultra-dynamic environments like cities, where they'll constantly come up against people and vehicles.

Regulations will also need to catch up, which takes additional time.

K.Dudek--TPP