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

EUR -
AED 4.232438
AFN 81.7399
ALL 97.895927
AMD 444.690649
ANG 2.06248
AOA 1056.812299
ARS 1342.051944
AUD 1.776305
AWG 2.07444
AZN 1.963769
BAM 1.955319
BBD 2.326228
BDT 140.905351
BGN 1.956255
BHD 0.434593
BIF 3431.056288
BMD 1.152467
BND 1.480136
BOB 7.961042
BRL 6.353668
BSD 1.152117
BTN 99.741473
BWP 15.528182
BYN 3.770473
BYR 22588.345428
BZD 2.314331
CAD 1.581934
CDF 3315.646835
CHF 0.942631
CLF 0.028263
CLP 1084.563727
CNY 8.284511
CNH 8.272986
COP 4705.142985
CRC 581.656968
CUC 1.152467
CUP 30.540365
CVE 110.237892
CZK 24.820447
DJF 205.169548
DKK 7.460613
DOP 68.323199
DZD 150.345929
EGP 58.324658
ERN 17.286999
ETB 158.433541
FJD 2.603941
FKP 0.85594
GBP 0.85647
GEL 3.135159
GGP 0.85594
GHS 11.867082
GIP 0.85594
GMD 82.4058
GNF 9982.545249
GTQ 8.854823
GYD 241.040727
HKD 9.046696
HNL 30.090601
HRK 7.536214
HTG 151.212816
HUF 402.706852
IDR 18944.591768
ILS 4.02004
IMP 0.85594
INR 99.807354
IQD 1509.328849
IRR 48547.656077
ISK 143.033075
JEP 0.85594
JMD 183.664836
JOD 0.817144
JPY 168.352902
KES 148.913382
KGS 100.783647
KHR 4617.864447
KMF 492.683845
KPW 1037.226262
KRW 1582.533008
KWD 0.35307
KYD 0.960164
KZT 602.06195
LAK 24856.887583
LBP 103230.815094
LKR 346.214864
LRD 230.423338
LSL 20.801885
LTL 3.402935
LVL 0.697116
LYD 6.280456
MAD 10.515714
MDL 19.811128
MGA 5148.733904
MKD 61.519872
MMK 2419.50369
MNT 4130.366588
MOP 9.315509
MRU 45.542801
MUR 52.575963
MVR 17.753793
MWK 1997.80873
MXN 22.112036
MYR 4.900869
MZN 73.712199
NAD 20.801885
NGN 1786.450441
NIO 42.399574
NOK 11.650198
NPR 159.586757
NZD 1.931967
OMR 0.443128
PAB 1.152117
PEN 4.137283
PGK 4.816816
PHP 65.888865
PKR 326.91661
PLN 4.268679
PYG 9195.738728
QAR 4.202067
RON 5.030175
RSD 117.20118
RUB 90.368278
RWF 1663.690891
SAR 4.323762
SBD 9.612065
SCR 16.999311
SDG 692.060432
SEK 11.146611
SGD 1.482116
SHP 0.905658
SLE 25.873303
SLL 24166.652664
SOS 658.438087
SRD 44.773754
STD 23853.731871
SVC 10.081521
SYP 14984.415101
SZL 20.797886
THB 37.818235
TJS 11.377302
TMT 4.033633
TND 3.410561
TOP 2.699196
TRY 45.723145
TTD 7.830075
TWD 34.101261
TZS 3058.947791
UAH 48.287326
UGX 4152.978764
USD 1.152467
UYU 47.108416
UZS 14469.441901
VES 118.193176
VND 30112.223648
VUV 138.533142
WST 3.179258
XAF 655.795737
XAG 0.03201
XAU 0.000342
XCD 3.114599
XDR 0.815599
XOF 655.795737
XPF 119.331742
YER 279.707783
ZAR 20.740485
ZMK 10373.586524
ZMW 26.643448
ZWL 371.093776
  • CMSC

    0.0900

    22.314

    +0.4%

  • CMSD

    0.0250

    22.285

    +0.11%

  • RBGPF

    0.0000

    69.04

    0%

  • SCS

    0.0400

    10.74

    +0.37%

  • RELX

    0.0300

    53

    +0.06%

  • RIO

    -0.1400

    59.33

    -0.24%

  • GSK

    0.1300

    41.45

    +0.31%

  • NGG

    0.2700

    71.48

    +0.38%

  • BP

    0.1750

    30.4

    +0.58%

  • BTI

    0.7150

    48.215

    +1.48%

  • BCC

    0.7900

    91.02

    +0.87%

  • JRI

    0.0200

    13.13

    +0.15%

  • VOD

    0.0100

    9.85

    +0.1%

  • BCE

    -0.0600

    22.445

    -0.27%

  • RYCEF

    0.1000

    12

    +0.83%

  • AZN

    -0.1200

    73.71

    -0.16%

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