The China Mail - Drone swarms can now fly autonomously through thick forest

USD -
AED 3.672496
AFN 66.087001
ALL 81.825228
AMD 381.17665
ANG 1.790403
AOA 917.000075
ARS 1450.5246
AUD 1.48977
AWG 1.80025
AZN 1.698689
BAM 1.656664
BBD 2.012426
BDT 122.094082
BGN 1.657805
BHD 0.377138
BIF 2947.99524
BMD 1
BND 1.283877
BOB 6.928886
BRL 5.518398
BSD 0.999183
BTN 89.619713
BWP 13.15133
BYN 2.898742
BYR 19600
BZD 2.009546
CAD 1.366965
CDF 2200.00001
CHF 0.786725
CLF 0.023072
CLP 905.109972
CNY 7.028503
CNH 7.007685
COP 3756.03
CRC 494.085459
CUC 1
CUP 26.5
CVE 93.400985
CZK 20.59155
DJF 177.923282
DKK 6.334895
DOP 62.351501
DZD 129.754972
EGP 47.594014
ERN 15
ETB 155.671225
EUR 0.848119
FJD 2.269196
FKP 0.741553
GBP 0.74011
GEL 2.684992
GGP 0.741553
GHS 11.315768
GIP 0.741553
GMD 74.498901
GNF 8732.259554
GTQ 7.654874
GYD 209.035504
HKD 7.776395
HNL 26.337389
HRK 6.3889
HTG 130.93786
HUF 330.670501
IDR 16749
ILS 3.18656
IMP 0.741553
INR 89.74885
IQD 1308.864823
IRR 42125.000272
ISK 125.510033
JEP 0.741553
JMD 159.779428
JOD 0.708965
JPY 155.914501
KES 128.906315
KGS 87.450268
KHR 4004.015027
KMF 418.000409
KPW 900.017709
KRW 1448.98028
KWD 0.30718
KYD 0.832652
KZT 508.976634
LAK 21642.315674
LBP 89468.428408
LKR 309.301055
LRD 176.849024
LSL 16.677678
LTL 2.95274
LVL 0.60489
LYD 5.406733
MAD 9.113179
MDL 16.814467
MGA 4562.222326
MKD 52.18796
MMK 2099.828827
MNT 3555.150915
MOP 8.004642
MRU 39.846175
MUR 45.969836
MVR 15.450078
MWK 1732.560257
MXN 17.89805
MYR 4.04498
MZN 63.909814
NAD 16.678878
NGN 1452.100803
NIO 36.770529
NOK 9.997805
NPR 143.390665
NZD 1.71111
OMR 0.384496
PAB 0.999183
PEN 3.363135
PGK 4.313189
PHP 58.734001
PKR 279.890137
PLN 3.57493
PYG 6807.757303
QAR 3.652011
RON 4.315598
RSD 99.565987
RUB 78.252701
RWF 1455.320122
SAR 3.750907
SBD 8.153391
SCR 13.902243
SDG 601.498789
SEK 9.15869
SGD 1.28377
SHP 0.750259
SLE 24.074957
SLL 20969.503664
SOS 569.981323
SRD 38.319974
STD 20697.981008
STN 20.752775
SVC 8.742424
SYP 11056.879194
SZL 16.676761
THB 31.030504
TJS 9.192371
TMT 3.51
TND 2.915832
TOP 2.40776
TRY 42.849903
TTD 6.796746
TWD 31.413499
TZS 2477.196967
UAH 42.073075
UGX 3610.135825
UYU 39.024018
UZS 12045.08011
VES 288.088835
VND 26312.5
VUV 121.140543
WST 2.788621
XAF 555.62972
XAG 0.013823
XAU 0.000223
XCD 2.70255
XCG 1.800748
XDR 0.691025
XOF 555.62972
XPF 101.019427
YER 238.450043
ZAR 16.633503
ZMK 9001.199493
ZMW 22.580713
ZWL 321.999592
  • SCS

    0.0200

    16.14

    +0.12%

  • CMSC

    -0.1100

    23.01

    -0.48%

  • RIO

    0.8700

    80.97

    +1.07%

  • CMSD

    -0.1800

    23.02

    -0.78%

  • NGG

    0.8300

    77.24

    +1.07%

  • BCE

    0.0000

    22.73

    0%

  • RBGPF

    1.0400

    81.26

    +1.28%

  • BCC

    -1.0000

    73.23

    -1.37%

  • RYCEF

    0.2000

    15.56

    +1.29%

  • JRI

    0.0400

    13.41

    +0.3%

  • GSK

    0.2600

    48.85

    +0.53%

  • VOD

    0.1800

    13.06

    +1.38%

  • AZN

    0.5900

    92.14

    +0.64%

  • RELX

    0.1500

    41.13

    +0.36%

  • BP

    0.4400

    34.58

    +1.27%

  • BTI

    0.2700

    57.04

    +0.47%

Drone swarms can now fly autonomously through thick forest
Drone swarms can now fly autonomously through thick forest / Photo: © 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.

X.Gu--ThChM