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Ha er - News ,ĂďĞƌ DĞƌŬĞnjŝ Ͳ News enter
irli i ro otlara insan en eri ͞/ƚ ŽīĞƌƐ ͚ŚƵŵĂŶͲůŝŬĞ ƉĞƌĐĞƉƟŽŶ͛
alg este i sunuyor ƐƵƉƉŽƌƚ ƚŽ ĐŽůůĂďŽƌĂƟǀĞ ƌŽďŽƚƐ͟
zĂƉĂLJ njĞŬąŶŦŶ ŝŶƐĂŶ ďĞŶnjĞƌŝ ďŝƌ Saying that ar cial intelligence
ĂůŐŦLJůĂ ǀĞ ƂŶĐĞĚĞŶ ƂŒƌĞƚŵĞ ǀĞLJĂ makes a di erence with a hu-
ƉƌŽŐƌĂŵůĂŵĂ ŽůŵĂĚĂŶ ǀĂƌLJĂƐLJŽŶͲ man-like percep on and handling
ůĂƌŦŶ ĞůĞ ĂůŦŶŵĂƐŦ ŝůĞ ĨĂƌŬ LJĂƌĂƴͲ varia ons without prior teaching or
ŒŦŶŦ ƐƂLJůĞLJĞŶ ŶĚĞƌƐ ŝůůĞƐƆ ĞĐŬ͕ programming, Anders Billesø Beck
͞ Ƶ ŬŽŶƵĚĂ ƉĞƌĂ /͛ŶŝŶ ŝƔďŝƌůŝŬĕŝ said, “In this regard, Apera AI’s 4
ƌŽďŽƚůĂƌĂ ͚ŝŶƐĂŶ ďĞŶnjĞƌŝ ĂůŐŦ͛ ƐĂŒͲ ision’ technology, which challeng-
ůĂLJĂƌĂŬ͕ ǀĂƌ ŽůĂŶ ĚƵƌƵŵĂ ŵĞLJĚĂŶ es the exis ng situa on by provid-
ŽŬƵLJĂŶ ͚ϰ sŝƐŝŽŶ͛ ƚĞŬŶŽůŽũŝƐŝ ŽůͲ ing human-like percep on’ to col-
ĚƵŬĕĂ LJŽů ŐƂƐƚĞƌŝĐŝ͘ ƂƉ ƚŽƉůĂŵĂ labora ve robots, is quite guiding
ŬŽŶƵƐƵŶĚĂ͖ ƚĂƌĂLJŦĐŦůĂƌ ǀĞ ŬĂŵĞƌĂͲ n garbage collec on With the
ůĂƌŦŶ ŬƵůůĂŶŦŵŦLJůĂ͕ ͚ϰ sŝƐŝŽŶ͛ ͚ĞŶ use of scanners and cameras, 4
ĕŽŬ ƚŽƉůĂŶĂďŝůĞĐĞŬ͛ ŶĞƐŶĞůĞƌŝ ďĞͲ ision’ is able to iden fy the objects
ůŝƌůĞLJĞďŝůŝLJŽƌ͘ ŽďŽƚ͛Ă ďƵŶůĂƌŦ ŝƔůĞͲ most collec ble’. It can tell the o-
ŵĞŬ ŝĕŝŶ ĞŶ ŚŦnjůŦ ǀĞ ĞŶ ŐƺǀĞŶůŝ LJŽůƵ bot the fastest and safest way to
ďŝůĚŝƌĞďŝůŝLJŽƌ͘ ŽďŽƚ͛Ă ƉŽnj ƚĂŚŵŝŶŝ process them. The pose es ma on
ǀĞ LJŽů ƉůĂŶůĂŵĂ ǀĞƌŝůĞƌŝ ƐĂŒůĂŶĂƌĂŬ ƌŽďŽƚƵŶ ŚĞĚĞĮŶĞ ƵůĂƔŵĂŬ and path planning data are provided to the cobot, allowing the
ŝĕŝŶ ŐƺǀĞŶůŝ ďŝƌ LJŽů ŝnjůĞŵĞƐŝ ƐĂŒůĂŶŦLJŽƌ͘ ŝƌ ĚŝŒĞƌ ŬĂnjĂŶŦŵ ŽůĂŶ robot to follow a safe path to reach its des na on. In dealing
ƂŶĐĞĚĞŶ ƂŒƌĞƚŵĞ ǀĞLJĂ ƉƌŽŐƌĂŵůĂŵĂ ŽůŵĂĚĂŶ ǀĂƌLJĂƐLJŽŶůĂƌŦŶ with varia ons without prior teaching or programming, which
ĞůĞ ĂůŦŶŵĂƐŦŶĚĂ ŝƐĞ͖ ƌŽďŽƚƵ ƂŒƌĞƚŵĞŬ ǀĞLJĂ ƉƌŽŐƌĂŵůĂŵĂŬ ŝĕŝŶ is another achievement “ ustomers who don’t have to spend
njĂŵĂŶ ŚĂƌĐĂŵĂŬ njŽƌƵŶĚĂ ŬĂůŵĂLJĂŶ ŵƺƔƚĞƌŝůĞƌ ĚĂŚĂ ĚĂ ĨĂnjůĂ me teaching or programming the robot gain even more ex-
ĞƐŶĞŬůŝŬ ŬĂnjĂŶŦLJŽƌ ǀĞ LJĞŶŝĚĞŶ ƉƌŽŐƌĂŵůĂŵĂ ŝĕŝŶ njĂŵĂŶ ŚĂƌͲ ibility and can change processed objects without was ng me
ĐĂŵĂĚĂŶ ŝƔůĞŶĞŶ ŶĞƐŶĞůĞƌŝ ĚĞŒŝƔƟƌĞďŝůŝLJŽƌ͟ ƔĞŬůŝŶĚĞ ŬŽŶƵƔƚƵ͘ on reprogramming.”
to asyon a l n en ne li a anta S re li geli i dŚĞ ŵŽƐƚ ŝŵƉŽƌƚĂŶƚ ĂĚǀĂŶƚĂŐĞ ŽĨ / ŝŶ ĂƵƚŽŵĂƟŽŶ͗ ŽŶƟŶƵ-
ŽƵƐ ŝŵƉƌŽǀĞŵĞŶƚ
zĂƉĂLJ njĞŬąŶŦŶ ĞŶĚƺƐƚƌŝLJĞů ƌŽďŽƚůĂƌŦŶ ŬŽŶƵŵ͕ ƔĞŬŝů ǀĞLJĂ ŚĂͲ
ƌĞŬĞƚ ĨĂƌŬůŦůŦŬůĂƌŦLJůĂ ďĂƔĂ ĕŦŬŵĂƐŦŶŦ ƐĂŒůĂĚŦŒŦŶŦ ĂŬƚĂƌĂŶ ĞĐŬ͕ Sta ng that ar cial intelligence enables industrial robots to
ŬŽŶƵƔŵĂƐŦŶĂ ƔƂLJůĞ ĚĞǀĂŵ Ğƫ͗ ͞PŶĐĞĚĞŶ ƉƌŽŐƌĂŵůĂŶŵŦƔ ďĞͲ cope with di erences in posi on, shape or movement, Beck
ůŝƌůŝ ƂůĕƺŵůĞƌĞ ďĂŒŦŵůŦ ŽůŵĂŬ LJĞƌŝŶĞ͕ ƌŽďŽƚ ŚĂƌĞŬĞƚůĞƌŝŶŝ ŐĞƌͲ con nued: “Rather than being dependent on certain pre-pro-
ĕĞŬ njĂŵĂŶůŦ ŽůĂƌĂŬ ƺƌĞƚĞďŝůŵĞŬƚĞĚŝƌ͘ zĂƉĂLJ njĞŬą͕ ƌŽďŽƚůĂƌĂ grammed measurements, the robot can produce its move-
ĚŽŬƵŶŵĂ ĚƵLJƵƐƵ ŬĂnjĂŶĚŦƌŵĂŬ ŝĕŝŶ ĚĞ ŬƵůůĂŶŦůĂďŝůŝƌ͘ PƌŶĞŒŝŶ͖ ments in real me. Ar cial intelligence can also be used to give
/ ͛ŶŦŶ / ŬŽŶƚƌŽů LJĂnjŦůŦŵŦ͕ ŐƂƌĞǀ ŚĞƌ ƐĞĨĞƌŝŶĚĞ ĚĞŒŝƔƐĞ ďŝůĞ robots a sense of touch. For example AI A’s AI control so ware
ƌŽďŽƚƵŶ ĚŝƔůŝůĞƌŝŶ ŵŽŶƚĂũŦ Őŝďŝ ŚĂƐƐĂƐ ŐƂƌĞǀůĞƌŝ ƂŒƌĞŶŵĞƐŝͲ enables the robot to learn sensi ve tasks such as gear assem-
Ŷŝ ƐĂŒůŦLJŽƌ͘ ŶĚƺƐƚƌŝLJĞů ŽƚŽŵĂƐLJŽŶĚĂ LJĂƉĂLJ njĞŬąŶŦŶ ďŝƌ ĚŝŒĞƌ bly, even if the task changes each me. Another important ad-
ƂŶĞŵůŝ ĂǀĂŶƚĂũŦ ĚĂ ƐƺƌĞŬůŝ ŽůĂƌĂŬ ŽƚŽŵĂƟŬ ŽůĂƌĂŬ ŐĞůŝƔŵĞƐŝ͘ Ƶ vantage of ar cial intelligence in industrial automa on is its
ŬĞŶĚŝ ŬĞŶĚŝŶĞ ƂŒƌĞŶŵĞ ƐĞǀŝLJĞƐŝ͕ ďŝƌ ŵƺƔƚĞƌŝ ŽůĂƌĂŬ͕ ŽƚŽŵĂƐͲ con nuous automa c development. This level of self-learning
LJŽŶ ĕƂnjƺŵƺŶƺnjƺŶ ŚĞƌ ŐĞĕĞŶ ŐƺŶ ŐĞůŝƔĞĐĞŒŝ ĂŶůĂŵŦŶĂ ŐĞůŝLJŽƌ͘ means that as a customer, your automa on solu on will evolve
LJŶŦ njĂŵĂŶĚĂ͕ LJĂƉĂLJ njĞŬą ƺƌƺŶůĞƌŝ ƺƌĞƟĐŝůĞƌĞ ƂŶŐƂƌƺůĞŵĞLJĞŶ day by day. At the same me, AI products o er manufacturers
ĚƺnjĞLJĚĞ ĞƐŶĞŬůŝŬ ǀĞ ŬŽůĂLJůŦŬ ƐƵŶŵĂŶŦŶ LJĂŶŦ ƐŦƌĂ ŬĂůŝƚĞ ǀĞ ŐƺǀĞͲ unpredictable levels of exibility and convenience, while im-
ŶŝůŝƌůŝŒŝ ĚĞ ĂƌƨƌŦLJŽƌ͘͟ proving quality and reliability.”
20 LJůƺů Ͳ ^ĞƉƚĞŵďĞƌ ϮϬϮϯ
