The Japan Times - Drone swarms can now fly autonomously through thick forest

EUR -
AED 3.824588
AFN 79.136766
ALL 98.140077
AMD 415.198572
ANG 1.877
AOA 951.206991
ARS 1090.486799
AUD 1.659721
AWG 1.8769
AZN 1.77027
BAM 1.950501
BBD 2.102797
BDT 127.004944
BGN 1.953324
BHD 0.39241
BIF 3035.319506
BMD 1.041276
BND 1.409278
BOB 7.196276
BRL 6.188404
BSD 1.041475
BTN 90.0418
BWP 14.404795
BYN 3.408257
BYR 20409.00937
BZD 2.092026
CAD 1.498131
CDF 2962.430314
CHF 0.943919
CLF 0.037409
CLP 1032.216479
CNY 7.572367
CNH 7.581864
COP 4431.930925
CRC 523.779474
CUC 1.041276
CUP 27.593814
CVE 110.686698
CZK 25.153579
DJF 185.055798
DKK 7.460576
DOP 63.945061
DZD 140.671177
EGP 52.386801
ERN 15.61914
ETB 131.252866
FJD 2.409304
FKP 0.857581
GBP 0.845332
GEL 2.978331
GGP 0.857581
GHS 15.826542
GIP 0.857581
GMD 76.012826
GNF 9013.2845
GTQ 8.050129
GYD 217.785169
HKD 8.109879
HNL 26.555912
HRK 7.684146
HTG 136.001156
HUF 410.658428
IDR 16916.257323
ILS 3.689343
IMP 0.857581
INR 90.03044
IQD 1364.071545
IRR 43837.718673
ISK 146.1015
JEP 0.857581
JMD 163.41602
JOD 0.738683
JPY 163.003944
KES 134.845315
KGS 91.059658
KHR 4197.383338
KMF 492.107326
KPW 937.148505
KRW 1495.704412
KWD 0.321027
KYD 0.867938
KZT 542.528625
LAK 22699.816611
LBP 93225.179411
LKR 311.006529
LRD 202.997191
LSL 19.253261
LTL 3.074617
LVL 0.629857
LYD 5.117886
MAD 10.409115
MDL 19.423137
MGA 4914.822946
MKD 61.54156
MMK 3382.023792
MNT 3538.25592
MOP 8.354362
MRU 41.526221
MUR 48.367306
MVR 16.046045
MWK 1808.174035
MXN 21.340061
MYR 4.618578
MZN 66.548137
NAD 19.253034
NGN 1621.266858
NIO 38.316373
NOK 11.742495
NPR 144.06728
NZD 1.837827
OMR 0.400823
PAB 1.041475
PEN 3.871987
PGK 4.167447
PHP 60.981808
PKR 290.151533
PLN 4.223677
PYG 8237.619457
QAR 3.791277
RON 4.975738
RSD 117.149829
RUB 103.345661
RWF 1449.456176
SAR 3.905965
SBD 8.824531
SCR 15.005455
SDG 625.806941
SEK 11.454817
SGD 1.411314
SHP 0.857581
SLE 23.636636
SLL 21835.036753
SOS 595.086376
SRD 36.527702
STD 21552.310629
SVC 9.113241
SYP 13538.670384
SZL 19.253458
THB 35.249276
TJS 11.398458
TMT 3.654879
TND 3.327403
TOP 2.438771
TRY 37.117542
TTD 7.074813
TWD 34.06045
TZS 2629.22167
UAH 43.741759
UGX 3832.605711
USD 1.041276
UYU 45.576175
UZS 13541.794113
VES 57.991537
VND 26125.614546
VUV 123.622376
WST 2.916434
XAF 654.182811
XAG 0.033784
XAU 0.000378
XCD 2.814101
XDR 0.802424
XOF 654.430405
XPF 119.331742
YER 259.329891
ZAR 19.275575
ZMK 9372.736948
ZMW 29.030431
ZWL 335.290443
  • RBGPF

    0.1600

    62.36

    +0.26%

  • SCS

    -0.2200

    11.58

    -1.9%

  • BCC

    -1.2000

    127.92

    -0.94%

  • BCE

    -0.2400

    23.15

    -1.04%

  • CMSD

    -0.0400

    23.96

    -0.17%

  • NGG

    -1.5400

    60.05

    -2.56%

  • RELX

    -0.2900

    49.26

    -0.59%

  • CMSC

    -0.0600

    23.49

    -0.26%

  • VOD

    -0.1700

    8.38

    -2.03%

  • RYCEF

    0.1500

    7.42

    +2.02%

  • RIO

    -0.6100

    61.12

    -1%

  • GSK

    -0.3500

    33.43

    -1.05%

  • AZN

    0.2400

    68.2

    +0.35%

  • JRI

    -0.0400

    12.53

    -0.32%

  • BTI

    -0.1600

    36.57

    -0.44%

  • BP

    -0.3900

    31.13

    -1.25%

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.Abe--JT