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@zero0_f

Contributor @AxisRobotics

Tham gia Şubat 2024
2.2K Đang theo dõi463 Người theo dõi
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zero0f.base.eth
zero0f.base.eth@zero0_f·
Can I call myself an investor now 😭
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Rahvana.182
Rahvana.182@0xRahvanaa·
Weekly event kali ini rame bangettt Nanti ada stumble, kamis karaoke, sabtu smashkart, minggu ngobrol santai! Jangan lupaa ramaikan guyss
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Jizuuu
Jizuuu@ajizoriginal·
Hari demi hari, tugas demi tugas akhir aku telah menyelesaikan 600 task di @axisrobotics . Mungkin 600 data trajectory terlalu sedikit dibandingkan dengan kebutuhan physical AI saat inil, tapi aku senang menjadi bagian dari perjalanan ini. Masih banyak yang harus dipelajari dan dicapai, tetapi untuk saat ini aku bersyukur bisa berkontribusi dan berkembang dengan @axisrobotics
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itsLabubu
itsLabubu@0xxLabubu·
Have you ever thought about it?
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Kuro.
Kuro.@0xagoes1·
Now it's time to go further with AXIS Physical AI connecting artificial intelligence with the physical world through robotics that can move, understand, and interact in real time. @axisrobotics
Axis Robotics@axisrobotics

It's AXIS.

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karin
karin@karinalinaka·
robotics has made huge advances in hardware. the next challenge is intelligence that can adapt to changing conditions without constant retraining. axis is building infrastructure designed to make physical ai more flexible, scalable, and capable in the real world. @axisrobotics
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clover
clover@SUNY_Nudes·
the future of automation depends on systems that can adapt beyond predefined rules. axis is exploring how continuous interaction and behavioral feedback can help physical ai become more capable in complex, real-world environments. @axisrobotics
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rara
rara@elneno13nhtw·
physical ai requires more than intelligent models. it requires systems that can learn from feedback, adapt to changing environments, and improve through experience. axis is building the infrastructure layer designed to support that evolution at scale. @axisrobotics
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sasafonda(✱,✱)
sasafonda(✱,✱)@NJakecon92504·
building intelligent robots is not only a hardware challenge. the harder problem is creating systems that can continuously learn from new environments, new behaviors, and new data. axis is focused on solving that layer. @axisrobotics
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Pavel Ryan (✱,✱) 🟦
Everyone talks about robot intelligence. Few talk about the data required to create it. @axisrobotics is tackling one of the hardest problems in Physical AI: collecting scalable data for long-horizon and cross-embodiment robotic tasks.
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william
william@wilfried25_·
Bruh @axisrobotics @AxisRoboticsID Baru pertama kali coba task Pick up the Bowl - Multi Embodiment dari @BitRobotNetwork langsung selesai dalam 7 detik aja! Ini pertama kalinya nyoba dan langsung berhasil. Rasanya puas banget! Tiap task yang kita kerjain bener-bener bantu bangun Physical AI. Semakin cepat & semakin banyak, semakin bagus datanya buat robot masa depan. Proud moment lah ini 💪 Mau coba juga? Gas aja di: hub.axisrobotics.ai/login?invite_c…
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