The Prague Post - Dancing isn't enough: industry pushes for practical robots

EUR -
AED 4.280648
AFN 76.929208
ALL 96.634371
AMD 445.758452
ANG 2.086886
AOA 1068.851256
ARS 1705.842246
AUD 1.740981
AWG 2.099529
AZN 1.980251
BAM 1.956935
BBD 2.353344
BDT 142.782786
BGN 1.942692
BHD 0.439323
BIF 3457.686117
BMD 1.165596
BND 1.500306
BOB 8.101098
BRL 6.281165
BSD 1.168457
BTN 104.992875
BWP 15.646804
BYN 3.44907
BYR 22845.677979
BZD 2.349942
CAD 1.616716
CDF 2640.074715
CHF 0.931841
CLF 0.026651
CLP 1045.52769
CNY 8.14023
CNH 8.13291
COP 4330.491509
CRC 580.826799
CUC 1.165596
CUP 30.888289
CVE 110.328969
CZK 24.279591
DJF 208.067068
DKK 7.472437
DOP 74.171732
DZD 151.597118
EGP 55.048529
ERN 17.483937
ETB 181.993097
FJD 2.654586
FKP 0.865262
GBP 0.867594
GEL 3.129629
GGP 0.865262
GHS 12.526263
GIP 0.865262
GMD 85.669628
GNF 10227.4912
GTQ 8.956193
GYD 244.451734
HKD 9.08424
HNL 30.80133
HRK 7.535114
HTG 153.012153
HUF 385.335529
IDR 19613.888742
ILS 3.693919
IMP 0.865262
INR 104.801459
IQD 1530.674357
IRR 49100.723902
ISK 147.203136
JEP 0.865262
JMD 184.974075
JOD 0.826418
JPY 183.214192
KES 150.909514
KGS 101.923776
KHR 4692.519441
KMF 492.462376
KPW 1049.0337
KRW 1696.349127
KWD 0.358305
KYD 0.973756
KZT 595.550192
LAK 25255.426484
LBP 104632.868714
LKR 361.036232
LRD 209.151266
LSL 19.279713
LTL 3.441702
LVL 0.705057
LYD 6.337566
MAD 10.763317
MDL 19.513146
MGA 5298.981439
MKD 61.572211
MMK 2447.634618
MNT 4149.378977
MOP 9.378657
MRU 46.37449
MUR 54.235603
MVR 18.008947
MWK 2026.039939
MXN 20.971674
MYR 4.737569
MZN 74.481851
NAD 19.279713
NGN 1662.99089
NIO 42.993268
NOK 11.761211
NPR 167.985516
NZD 2.029046
OMR 0.448165
PAB 1.168247
PEN 3.928778
PGK 4.98474
PHP 68.86806
PKR 330.253915
PLN 4.212551
PYG 7889.438944
QAR 4.271477
RON 5.087477
RSD 117.316046
RUB 93.827653
RWF 1702.958159
SAR 4.371109
SBD 9.472665
SCR 14.648095
SDG 701.100362
SEK 10.75919
SGD 1.498233
SHP 0.874499
SLE 28.091253
SLL 24441.96572
SOS 666.575044
SRD 44.631244
STD 24125.480048
STN 24.513477
SVC 10.22384
SYP 12890.994216
SZL 19.272844
THB 36.681096
TJS 10.860697
TMT 4.091241
TND 3.415881
TOP 2.806475
TRY 50.297906
TTD 7.933532
TWD 36.895185
TZS 2911.073903
UAH 50.339723
UGX 4202.436583
USD 1.165596
UYU 45.506385
UZS 14059.971068
VES 363.131521
VND 30619.036472
VUV 140.498038
WST 3.233244
XAF 656.326278
XAG 0.015209
XAU 0.000261
XCD 3.150081
XCG 2.105803
XDR 0.816259
XOF 656.326278
XPF 119.331742
YER 277.936789
ZAR 19.262975
ZMK 10491.762787
ZMW 23.164232
ZWL 375.321377
  • SCS

    0.0200

    16.14

    +0.12%

  • RBGPF

    0.0000

    81.57

    0%

  • BTI

    0.5000

    53.79

    +0.93%

  • AZN

    -1.1500

    94.01

    -1.22%

  • NGG

    0.0900

    79.48

    +0.11%

  • CMSC

    0.0100

    23.01

    +0.04%

  • RELX

    0.1700

    42.35

    +0.4%

  • RYCEF

    0.1100

    17.12

    +0.64%

  • GSK

    -0.4000

    50.22

    -0.8%

  • CMSD

    -0.1000

    23.5

    -0.43%

  • RIO

    -0.6900

    84.19

    -0.82%

  • BCE

    0.4200

    23.75

    +1.77%

  • JRI

    0.1000

    13.74

    +0.73%

  • BCC

    4.5600

    78.03

    +5.84%

  • VOD

    -0.1550

    13.82

    -1.12%

  • BP

    0.4600

    34.13

    +1.35%

Dancing isn't enough: industry pushes for practical robots
Dancing isn't enough: industry pushes for practical robots / Photo: Patrick T. Fallon - AFP

Dancing isn't enough: industry pushes for practical robots

Humanoid robots danced, somersaulted, dealt blackjack and played ping-pong at the Consumer Electronics Show this week, but some in the industry are impatient for them to become more useful, not just a promise of things to come.

Text size:

As robots take their usual spotlight at the annual CES gadget fest, insiders caution that making them truly like humans will take several more years and require lots of training.

To become autonomous, humanoid robots need AI that translates what is seen and heard into actions, which is beyond the scope of today's large language models that power tools like ChatGPT.

Training a large language model relies on massive amounts of data -- mainly vacuumed up from the internet -- that is of little use when it comes to human-like robots seeking to be useful in the kitchen or on a factory floor.

"If you want (robots) to learn embodied things, you have to put them inside a body," said Henny Admoni, an associate professor at the robotics institute at Carnegie Mellon University.

Humanoid Guide founder Christian Rokseth, who specializes in the technology, likened the situation to locking a child in a room and expecting it to learn about the world.

Even if the pace of development accelerated last year, particularly on the hardware side, Rokseth expressed a degree of impatience about innovation.

"They've shown robots dancing and doing kung fu; now show us that they can be productive," Rokseth said.

EngineAI founder Evan Yao told AFP that the Shenzhen-based company is working with tech titans such as Amazon and Meta to give its creations AI brains.

"We are trying to simulate humans, but the robots will never become human," Yao told AFP as one of his robots kicked in his direction.

"Because a human is emotional and much more."

Nearby, Yiran Sui was part of a Robotera team whose humanoid robot, developed for researchers, is training to complete the Beijing marathon a few months from now.

- Factories first? -

According to the Consumer Technology Association that runs CES, the robotics industry is showing dynamism and potential.

It projects the global market will hit $179 billion by 2030.

The bulk of that growth is expected in factories, warehouses and other business operations, where robots -- not necessarily humanoid ones -- work in controlled environments.

But for Artem Sokolov, founder of the Humanoid robotics startup based in London, humans work in factories so robots copying their bodies can thrive there too.

South Korean automotive giant Hyundai used CES to unveil a humanoid robot called Atlas, created in collaboration with Boston Dynamics, that it plans to test in factories.

Given the training limitations, industry trackers advise caution when it comes to companies claiming to have humanoid robots that can operate without flesh-and-blood managers overseeing them.

"There has been a ton of new companies claiming that they are developing autonomous humanoid robots," Admoni told AFP.

But "these systems tend to be teleoperated; you have a person in a suit or using controllers and every movement of that person is then translated into the robot."

To solve the training problem, new startups are using methods such as having people wear cameras and haptic gloves while doing chores at home, according to Rokseth.

"To make robots general machines, they need to be let out in the real world," Rokseth said, not just assembly lines or warehouses.

C.Zeman--TPP