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

EUR -
AED 4.267356
AFN 76.113966
ALL 92.166078
AMD 421.736293
ANG 2.079682
AOA 1066.692995
ARS 1752.149424
AUD 1.615424
AWG 2.091554
AZN 1.97997
BAM 1.955505
BBD 2.340246
BDT 142.798429
BGN 1.971134
BHD 0.438034
BIF 3474.775108
BMD 1.161974
BND 1.472378
BOB 14.378828
BRL 5.956518
BSD 1.161924
BTN 109.727425
BWP 15.55765
BYN 3.579359
BYR 22774.699702
BZD 2.336947
CAD 1.607883
CDF 2649.302222
CHF 0.936198
CLF 0.027477
CLP 1081.856577
CNY 7.798364
CNH 7.794298
COP 3650.748526
CRC 527.020389
CUC 1.161974
CUP 30.792324
CVE 110.248346
CZK 24.209785
DJF 206.908745
DKK 7.478589
DOP 68.77961
DZD 154.811068
EGP 59.198758
ERN 17.429617
ETB 188.646703
FJD 2.550476
FKP 0.859603
GBP 0.855053
GEL 3.02699
GGP 0.859603
GHS 13.211004
GIP 0.859603
GMD 85.986524
GNF 10213.457177
GTQ 8.87066
GYD 243.093279
HKD 9.110287
HNL 31.192288
HRK 7.538663
HTG 151.957046
HUF 362.37381
IDR 20486.539566
ILS 3.500326
IMP 0.859603
INR 109.795554
IQD 1522.170064
IRR 1597250.113151
ISK 140.878234
JEP 0.859603
JMD 184.182178
JOD 0.823886
JPY 181.564367
KES 150.527262
KGS 101.613627
KHR 4702.289682
KMF 492.677584
KPW 1045.777368
KRW 1564.122666
KWD 0.359039
KYD 0.968354
KZT 529.20006
LAK 26055.064177
LBP 104052.182095
LKR 381.282404
LRD 203.339284
LSL 18.563896
LTL 3.431009
LVL 0.702867
LYD 7.372886
MAD 10.893055
MDL 20.014977
MGA 4985.246939
MKD 61.515708
MMK 2440.225622
MNT 4180.195488
MOP 9.383183
MRU 46.744939
MUR 54.415704
MVR 17.964565
MWK 2014.795649
MXN 19.6225
MYR 4.699378
MZN 74.254502
NAD 18.563896
NGN 1537.536682
NIO 42.76354
NOK 10.815547
NPR 175.56348
NZD 1.968948
OMR 0.446784
PAB 1.161924
PEN 3.897011
PGK 5.238209
PHP 72.879474
PKR 322.223826
PLN 4.31354
PYG 6951.949853
QAR 4.246958
RON 5.254493
RSD 117.332276
RUB 100.55481
RWF 1710.341639
SAR 4.360694
SBD 9.296391
SCR 16.009729
SDG 698.931918
SEK 11.123238
SGD 1.474318
SHP 0.860867
SLE 28.643102
SLL 24366.022846
SOS 664.099682
SRD 43.841882
STD 24050.525606
STN 24.4963
SVC 10.167464
SYP 15107.992009
SZL 18.567195
THB 38.252628
TJS 10.713082
TMT 4.066911
TND 3.391288
TOP 2.797756
TRY 56.264319
TTD 7.865812
TWD 36.818095
TZS 3076.23531
UAH 51.757782
UGX 4386.337409
USD 1.161974
UYU 46.772935
UZS 13704.929762
VES 936.989612
VND 30281.054807
VUV 135.944268
WST 3.15838
XAF 655.857927
XAG 0.01755
XAU 0.000262
XCD 3.140295
XCG 2.094084
XDR 0.821576
XOF 655.857927
XPF 119.331742
YER 275.388335
ZAR 18.555513
ZMK 10459.168805
ZMW 22.222643
ZWL 374.155307
  • CMSC

    -0.1100

    20.81

    -0.53%

  • RELX

    -1.1400

    35.51

    -3.21%

  • CMSD

    -0.0700

    20.69

    -0.34%

  • RIO

    0.4300

    103.27

    +0.42%

  • RYCEF

    0.1400

    19.92

    +0.7%

  • RBGPF

    0.0000

    70

    0%

  • VOD

    0.3200

    16.9

    +1.89%

  • BCE

    -0.1400

    23.67

    -0.59%

  • NGG

    -0.0500

    78.12

    -0.06%

  • BCC

    2.0900

    79.21

    +2.64%

  • JRI

    -0.0700

    12.14

    -0.58%

  • BTI

    -0.6200

    55.35

    -1.12%

  • GSK

    -0.9800

    49.89

    -1.96%

  • AZN

    -2.0700

    162.7

    -1.27%

  • BP

    0.2300

    43.81

    +0.52%

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