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@Ssolmanager

๐Ÿœ๋งˆ๊ณก๋‚˜๋ฃจ ๊ฐœ๋ฏธ ์ด์žฅ๋‹˜๐Ÿค– ๋กœ๋ด‡๊ณผ ํ•จ๊ป˜ ํ•˜๋Š” ์ฆ๊ฑฐ์šด ๊ฒฝํ—˜์„ ๋งŒ๋“ค์–ด์š”๐Ÿ’•30๋Œ€ ๊ณต๋Œ€ ์ถœ์‹  ๋กœ๋ด‡์—…๊ณ„ ๋งˆ์ผ€ํ„ฐ #ESFP #๋กœ๋ด‡ #๊ฐœ๋ฏธ

๋งˆ๊ณก Beigetreten Eylรผl 2021
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์ ๋งค๋‹ˆ์ €
์ ๋งค๋‹ˆ์ €@Ssolmanagerยท
๐Ÿค–๊ฐ„๋งŒ์— ๋ณธ์—… ์ด์•ผ๊ธฐ ํ•ด๋ด…๋‹ˆ๋‹ค..! ์š”์ฆ˜ ํœด๋จธ๋…ธ์ด๋“œ์— ์†์ด ๊ฐ€์žฅ ์ค‘์š”ํ•˜๋‹ค๊ณ  ๋งํ•ฉ๋‹ˆ๋‹ค๐Ÿ–๏ธ 20์ž์œ ๋„๋ฅผ ๊ฐ€์ง„ ํœด๋จธ๋…ธ์ด๋“œ ์† ๊ณต์‹์˜์ƒ ํ•จ๊ป˜๋ณด์‹œ์ฃ ๐Ÿ“บ
Yoonseok Pyo@passionvirus

@ROBOTIS dropped the 5-finger, 20 DOF HX5-D20 hand! ๐Ÿฆพ Direct Drive (no tendons/linkages) for unmatched speed! โšก 5 Finger, 20 DOF (Direct Drive mechanism) ๐Ÿ’ช 15kg payload (20kg peak) ๐Ÿค– Active Compliance ๐Ÿ”ง Modular fingers ๐Ÿ’ป Open-source with ROS ๐Ÿ“บ Video: youtu.be/bTCIVPrWoV8?siโ€ฆ ๐Ÿ“š Manual: ai.robotis.com/hands/introducโ€ฆ ๐Ÿ’ป GitHub: github.com/ROBOTIS-GIT/roโ€ฆ

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Louis Le Lay
Louis Le Lay@LouisLeLay4ยท
As a kid I kept watching a few robots in videos/books dreaming of seeing them IRL, I was fortunate enough to visit the RAI Institute recently and see Atlas and other iconic BD robots for the first time!! Still on the bucket list now: ASIMO and HRP-2
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Harold@wahoo_harold

@LouisLeLay4 If you ever find yourself in Tokyo with a day to spare, the members of the (half french) lab were really kind and eager to show me around last month!

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Space and Technology
Space and Technology@spaceandtech_ยท
Unitree G1 now has a cluster control system that lets many robots work together with precise coordination. It connects multiple robots on one network, even across different systems and hardware. AI plans and executes actions in real time, making all robots move in sync like one system.
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X@Xยท
hehehe
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Mustafa
Mustafa@oprydaiยท
start robotics in simulation before hardware. hardware slows you down. simulation lets you think. how to actually do it: โ€ข pick a simulator โ†’ Gazebo or Isaac Sim. both give you physics, sensors, and robots out of the box โ€ข learn the middleware โ†’ use ROS 2. nodes, topics, transforms. this is how real robots are wired โ€ข spawn a simple robot โ†’ differential drive or a basic arm. donโ€™t chase complexity early โ€ข run teleop first โ†’ control it with keyboard/joystick. verify commands โ†’ motion works โ€ข add sensors โ†’ camera, lidar. inspect topics, visualize in rviz โ€ข close the loop โ†’ write a node that reads sensors and publishes cmd_vel. simple obstacle avoidance is enough โ€ข log + replay โ†’ record bags, debug offline, iterate faster why this works: โ€ข crashes are free โ€ข iteration is fast โ€ข you debug logic, not wires once the behavior is stable in sim, move to hardware. simulation isnโ€™t a shortcut. itโ€™s the fastest path to understanding.
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์ ๋งค๋‹ˆ์ €@Ssolmanagerยท
๋กœ๋ด‡ ํ•˜๋Š” ์‚ฌ๋žŒ๋“ค๊ณผ ์ด์–ด์ง€๊ณ  ์‹ถ์–ด์š”..๐Ÿค– 1์ผ 1๋กœ๋ด‡ ์‚ฌ์šฉํ•œ ํ”์  ๋‚จ๊ธฐ๊ณ  ๊ฐ€์š”์˜ค์˜ค
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Ilir Aliu
Ilir Aliu@IlirAliu_ยท
Deep learning curriculum for robotics. [๐Ÿ“ Link to Playlist below ] Modern robotics workflows often integrate deep learning models with traditional algorithms for mapping, localization, and control. This playlist builds it from scratch: Single neurons โ†’ Backprop โ†’ CNNs โ†’ Transformers โ†’ GANs โ†’ AlphaGo. Step by step. Taught by Prof. Bryce, one of the clearest educators in the field. 26 lectures covering: โ†’ CNNs (robotic vision & object detection) โ†’ Transformers (planning & foundation models)โ†’ LSTMs/RNNs (sequential decision-making) โ†’ GANs (synthetic training data) โ†’ AlphaGo (reinforcement learning for robot control) If youโ€™re building robots or trying to understand how they learn, this is the foundation. ๐Ÿ“ youtube.com/playlist?list=โ€ฆ
Ilir Aliu tweet media
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็ฅž
็ฅž@Q0S_Rimuยท
๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ใ€€ใ€€ใ€€ใ€€ใ€€ใŠไฝฟใ„ใฎ็ซฏๆœซใ‹ใ‚‰ "ใ—ใ‚ใ‚ใ›"ใŒๆคœๅ‡บใ•ใ‚Œใพใ—ใŸ ใ“ใ‚Œใ‚’่ฆ‹ใŸๅ…จใฆใฎไบบใซ ใŸใใ•ใ‚“ใ—ใ‚ใ‚ใ›ใŒ่จชใ‚Œใพใ™ใ‚ˆใ†ใซ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ ๏ธŽ
ๆ—ฅๆœฌ่ชž
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CyberRobo
CyberRobo@CyberRoboooยท
South Korea has its own Unitree G1:AI Sapiens from ROBOTIS. Open-source huamnoid robot.
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dd..
dd..@nomusicno1ifeยท
๊ณต์—ฐ์„ ๊ฐ€๋ฉด ๋ˆ์ด ์—†์–ด์ง‘๋‹ˆ๋‹ค ํ•˜์ง€๋งŒ ๊ณต์—ฐ์„ ๊ฐ€์ง€ ์•Š์•„๋„ ๋ˆ์€์—†์–ด์ง‘๋‹ˆ๋‹ค.. ์—ฌ๋Ÿฌ๋ถ„ ๊ณต์—ฐ์„ ํฌ๊ธฐํ•˜์ง€๋งˆ์„ธ์š”
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๋ฏธ์‚ฌ
๋ฏธ์‚ฌ@m_X_ahยท
๋‚˜๋ฅผ ๋ฐ›์•„์ฃผ๋Š” ํ™˜๊ฒฝ์—๋งŒ ๋จธ๋ฌด๋ฅด๋ ค๋Š” ์‚ฌ๋žŒ๋“ค์€ ํŠน์œ ์˜ ์• ์ƒ›๊ธฐ์Šค๋Ÿฌ์›€์ด ์žˆ์Œ.. ์ด๊ฒŒ ์•ˆ ๊ณ ์ณ์ง€๊ณ  ๊ทธ๋Œ€๋กœ ๋‚˜์ด๋จน์œผ๋ฉด ๊ณจ๋•Œ๋ฆผ
๋ฏธ์‚ฌ@m_X_ah

์‚ฌ๋žŒ์ด ์„ฑ์ˆ™ํ•˜๋ ค๋ฉด ๋‚˜์™€ ๋‹ค๋ฅธ ํƒ€์ธ์„ ๊ณ„์† ๊ฒช๊ณ  ์ดํ•ดํ•˜๊ณ  ๋ฐฐ๋ คํ•˜๊ณ  ํฌ์šฉํ•˜๋Š” ๊ณผ์ •์„ ๋์—†์ด ๋ฐ˜๋ณตํ•ด์•ผ ํ•˜๋Š” ๊ฒƒ ๊ฐ™์Œ. ๊ฑฐ๊ธฐ์— ๊ฐˆ๋“ฑ ํ•ด๊ฒฐ ๋˜ํ•œ ๊ณ„์†ํ•ด์„œ ํ•ด๋‚˜๊ฐ€๋ฉฐ ๋‚ด๊ฐ€ ๊นŽ์ด๊ณ  ๋˜ ๊นŽ์—ฌ์•ผ ํ•˜๋Š” ๊ฒƒ ๊ฐ™๋‹ค.

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The Humanoid Hub
The Humanoid Hub@TheHumanoidHubยท
Korean robotics leader ROBOTIS has unveiled the 'AI Sapiens' humanoid, a direct challenge to Unitreeโ€™s G1 and R1 models. - 4'3" (130 cm) tall and weighing 34 kg. - Features 23 DOF, powered by the brand-new Dynamixel-Q actuators. The robot is a fully open-source hardware system designed to serve as a reliable hardware platform for advanced Physical AI research. AI Sapiens is slated for an H1 2026 launch, with a price point expected in the mid-to-low 10 million KRW range (~$7,000 โ€“ $8,700 USD).
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์œ ํ˜œ์Œ
์œ ํ˜œ์Œ@u_SJ1106ยท
ใ…œใ…œ ํšจ๋ฆฐ์–ธ๋‹ˆ ์ž‘๊ฒŒ ๋ถ€๋ฅด๊ณ  ์•ฝ ์ค„๊นŒ? ํ–ˆ๋Š”๋ฐ ํšจ๋ฆฐ์›…๋‹ˆ๊ฐ€ ๊ทธ๊ฑฐ ๋” ์•ˆ์ข‹๋‹ค๋‹ˆ๊น ๋ฐ”๋กœ ๋ฑ‰๋Š” ์•„๊ธฐ๊ณจ๋Œ•๊ทœํ˜„๋‹˜ ใ…œใ…œ
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๋“ค์•„
๋“ค์•„@gannettesunยท
๋ฐ˜๋Œ€๋กœ ๋ณธ์ธ์ด ๊ฒŒ์œผ๋ฅด๋ฉด ์ข‹์€ ์šด๋„ ๋‹ค ๋‚ ๋ฆผ ์ธ์ƒ์€ ์ง„์งœ ๋‚˜ ํ•˜๊ธฐ๋‚˜๋ฆ„์ด๊ณ  ๊ฐ™์€ ์‚ฌ์ฃผ๋„ ๋‹ค ๋‹ค๋ฅด๊ฒŒ ์‚ฌ๋Š” ์ด์œ ๊ฐ€ ์ž‡๋‹ค
๋ถ€๋ž„๋ƒฅ๋ผ๋จธ๋ฆฌ@giyommigirl

์‚ฌ์ฃผ ๋ณด๋Ÿฌ ๊ฐ€์„œ ๋“ค์—‡๋Š”๋ฐ ์šด๋ช…์€ ๋ฐ”๊พธ๋ผ๊ณ  ์ž‡๋Š”๊ฑฐ๋ž˜ ๊ทผ๋ฐ ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์ด ์šด๋ช…์ด ์ €์ ˆ๋กœ ๋ฐ”๋€Œ๊ธฐ๋งŒ์„ ์›ํ•˜๊ณ  ์•„๋ฌด๋Ÿฐ ์•ก์…˜๋„ ์ทจํ•˜์ง€ ์•Š๋Š”๋Œ€ ๋งŽ์€๊ฑธ ๊ฒฝํ—˜ํ•ด๋ณด๊ณ  ๋А๋‚„์ˆ˜๋ก ํ•˜๊ณ ์‹ถ์€๊ฒŒ ์ƒ๊ธฐ๊ณ  ๋ญ˜ํ•˜๋ฉด์„œ ์‚ด์•„์•ผํ• ์ง€ ๊ฐ์ด ์žกํžˆ๋Š”๋ฐ ์ง‘์—์„œ ๊ฐ€๋งŒํžˆ ์ฝ”๋”ฑ์ง€๋งŒ ํŒŒ๊ณ  ์ž‡์Šค๋ฉด ๋ญ๊ฐ€ ๋ณ€ํ•˜๊ฒŸ๋ƒ๊ณ  ๋ฌด์กฐ๊ฑด ๋ฐ–์œผ๋กœ ๋‚˜๊ฐ€๋žซ์Œ

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๋ถ€๋ž„๋ƒฅ๋ผ๋จธ๋ฆฌ
์‚ฌ์ฃผ ๋ณด๋Ÿฌ ๊ฐ€์„œ ๋“ค์—‡๋Š”๋ฐ ์šด๋ช…์€ ๋ฐ”๊พธ๋ผ๊ณ  ์ž‡๋Š”๊ฑฐ๋ž˜ ๊ทผ๋ฐ ๋งŽ์€ ์‚ฌ๋žŒ๋“ค์ด ์šด๋ช…์ด ์ €์ ˆ๋กœ ๋ฐ”๋€Œ๊ธฐ๋งŒ์„ ์›ํ•˜๊ณ  ์•„๋ฌด๋Ÿฐ ์•ก์…˜๋„ ์ทจํ•˜์ง€ ์•Š๋Š”๋Œ€ ๋งŽ์€๊ฑธ ๊ฒฝํ—˜ํ•ด๋ณด๊ณ  ๋А๋‚„์ˆ˜๋ก ํ•˜๊ณ ์‹ถ์€๊ฒŒ ์ƒ๊ธฐ๊ณ  ๋ญ˜ํ•˜๋ฉด์„œ ์‚ด์•„์•ผํ• ์ง€ ๊ฐ์ด ์žกํžˆ๋Š”๋ฐ ์ง‘์—์„œ ๊ฐ€๋งŒํžˆ ์ฝ”๋”ฑ์ง€๋งŒ ํŒŒ๊ณ  ์ž‡์Šค๋ฉด ๋ญ๊ฐ€ ๋ณ€ํ•˜๊ฒŸ๋ƒ๊ณ  ๋ฌด์กฐ๊ฑด ๋ฐ–์œผ๋กœ ๋‚˜๊ฐ€๋žซ์Œ
์ด์Œ@_PALEBLUEEARTH

๋‚˜ ์ด ์ฃผ์ œ์— ๋Œ€ํ•ด์„œ ํ•˜๊ณ  ์‹ถ์€ ๋ง ์ง„์งœ ๋งŽ์Œ,, ์‚ฌ๋žŒ๋“ค์€ ๋ฒˆ๊ฐœ๋ฅผ ๋งž๋“ฏ ์™„๋ฒฝํ•œ '์ธ์ƒ์˜ ๋ชฉํ‘œ'๊ฐ€ ๊ณ„์‹œ ๋ฐ›๋“ฏ์ด ๋จธ๋ฆฌ์— ๋š ๋–จ์–ด์ง„๋‹ค๊ณ  ์ƒ๊ฐํ•จ ๊ทผ๋ฐ ๊ทธ๊ฒŒ ์ ˆ๋Œ€ ์•„๋‹˜ ๋‚ด๊ฐ€ ๋ญ˜ ์ข‹์•„ํ•˜๋Š”์ง€, ๋ญ˜ ์‹ซ์–ดํ•˜๋Š”์ง€๋Š” ์ง์ ‘ ๊ฒฝํ—˜ํ•ด ๋ด์•ผ ์•Œ ์ˆ˜ ์žˆ์Œ ๋ญ๋“  ์ผ๋‹จ ๊ฐ€๋ณ๊ฒŒ ์ €์งˆ๋Ÿฌ๋ณด๊ณ , ๋ถ€๋”ชํ˜€๋ณด๊ณ , ๋•Œ๋กœ๋Š” ์‹คํŒจํ•ด ๋ณด๋Š” ์•ฝ๊ฐ„์˜ '๋น„ํšจ์œจ์ ์ธ ๊ณผ์ •'์ด ์žˆ์–ด์•ผ ์ง„์งœ ๋‚ด๊ฐ€ ์›ํ•˜๋Š” ๋ฐฉํ–ฅ์œผ๋กœ ์ธ์ƒ์˜ ํ•ด์ƒ๋„๋ฅผ ๋†’์—ฌ๊ฐˆ ์ˆ˜ ์žˆ์Œ ๊ทธ๋ฆฌ๊ณ  '์›ํ•˜๋Š” ๊ฒƒ'์ด ๊ผญ ์‚ฌํšŒ๊ฐ€ ๋งํ•˜๋Š” ๊ฑฐ์ฐฝํ•œ ์„ฑ๊ณต์ด๋‚˜ ๋ช…์˜ˆ์ผ ํ•„์š”๊ฐ€ ์—†์Œ ์˜ค๋Š˜ ๋‹น์žฅ ๋ฐฐ์›Œ๋ณด๊ณ  ์‹ถ์€ ์ทจ๋ฏธ, ๋‚ด์ผ ๋จน๊ณ  ์‹ถ์€ ์Œ์‹, ์ด๋ฒˆ ์ฃผ๋ง์— ๊ฐ€๋ณด๊ณ  ์‹ถ์€ ์žฅ์†Œ ๋“ฑ ํ˜„์žฌ์— ์ง‘์ค‘ํ•˜๋Š” ์•„์ฃผ ์ž‘๊ณ  ๊ฐ€๋ฒผ์šด ๋งˆ์Œ๋“ค๋„ ๋ชจ๋‘ '์›ํ•˜๋Š” ๊ฒƒ'์ด๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ์Œ ๊ทธ๋Ÿฌ๋‹ˆ ์›ํ•˜๋Š” ๊ฑธ ์ฐพ์ง€ ๋ชปํ–ˆ๋‹ค๋ฉด ์ผ๋‹จ ๋‚ด๋ฉด์˜ ๋ชฉ์†Œ๋ฆฌ์— ๊ท€๊ธฐ์šธ์ด๋Š” ๊ฒƒ๋ถ€ํ„ฐ ์‹œ์ž‘ํ•ด๋ณด๊ธธ ์ถ”์ฒœํ•จ,, ์•„์ฃผ ์‚ฌ์†Œํ•œ ๊ฑฐ๋ผ๋„ ์ข‹์œผ๋‹ˆ ๋งˆ์Œ์ด ๋Œ๋ฆฌ๋Š” ๊ฑฐ๋ผ๋ฉด ๊ฐ€๋ณ๊ฒŒ ์‹œ์ž‘ํ•ด๋ณด๊ณ  ๊ทธ๋Ÿฌ๋ฉด์„œ ๋‚˜๋งŒ์˜ ๋ฐ์ดํ„ฐ๋ฅผ ์Œ“๋‹ค๋ณด๋ฉด ๋‚˜๋งŒ์˜ ๊ธธ์ด ๋ณด์ด๊ณ  ๋ฐฉํ–ฅ์ด ๋ณด์ด๊ฒŒ ๋จ ๊ทธ๋Ÿฌ๋‹ˆ ๋‹ค๋ฅธ ์‚ฌ๋žŒ์ด๋ž‘ ๋น„๊ตํ•˜์ง€๋ง๊ณ  ์ œ๋ฐœ ๋‚ด ๋งˆ์Œ์ด ์†Œ๋ฆฌ๋ฅผ ๋“ฃ๋Š” ์—ฐ์Šต๋ถ€ํ„ฐ ์‹œ์ž‘ํ–ˆ์œผ๋ฉด ์ข‹๊ฒ ์Œ,, ๋„Œ ๋ถ€์กฑํ•˜๋‹ค๊ณ , ๋Šฆ์—ˆ๋‹ค๊ณ  ๋งํ•˜๋Š” ๋ชฉ์†Œ๋ฆฌ์— ๋ฌปํ˜€๋ฒ„๋ฆฐ ์ง„์งœ ๋‚ด ๋งˆ์Œ์˜ ์†Œ๋ฆฌ๋ฅผ ๋“ค์–ด๋ณด๋ฉด ๋‚ด๊ฐ€ ์ •๋ง ์–ด๋–ค ์‚ถ์„ ์‚ด๊ณ  ์‹ถ์€์ง€ ๋ˆ„๊ตฌ๋“  ์ฐพ์„ ์ˆ˜ ์žˆ์Œ,,, ๋‚ด๊ฐ€ ์‚ฐ ์ฆ์ธ์ด๋‹ˆ๊นŒ ๋‚ด ๋ง ๋ฏฟ๊ณ  ํ•œ ๋ฒˆ๋งŒ ํ•ด๋ดค์œผ๋ฉด ์ข‹๊ฒ ์–ด,,,

ํ•œ๊ตญ์–ด
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Takumi Kawasetsu, ๅท็ฏ€ๆ‹“ๅฎŸ
ๅ€‹ไบบ็š„ใช่ˆˆๅ‘ณใงใƒ’ใƒฅใƒผใƒžใƒŽใ‚คใƒ‰ใฎ่ถณ่ฃ่ฆ‹ใฆใŸใ‚“ใ‚„ใ‘ใฉใŸใ ใฎๆฃ’ใ‚„ใฃใŸใ‚Šไบบใฎ้ดๅฑฅใ‹ใ›ใฆใŸใ‚Šใ€้ดๅบ•ใฃใฝใ„ใƒญใƒœใƒƒใƒˆๅฐ‚็”จ่ถณใฃใฝใ„ใฎใŒใ‚ใฃใŸใ‚Šใ—ใฆใŠใ‚‚ใ‚ใ„
Takumi Kawasetsu, ๅท็ฏ€ๆ‹“ๅฎŸ tweet mediaTakumi Kawasetsu, ๅท็ฏ€ๆ‹“ๅฎŸ tweet mediaTakumi Kawasetsu, ๅท็ฏ€ๆ‹“ๅฎŸ tweet mediaTakumi Kawasetsu, ๅท็ฏ€ๆ‹“ๅฎŸ tweet media
ๆ—ฅๆœฌ่ชž
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Abraham John ๐Ÿฆ„๐Ÿฆ“
Abraham John ๐Ÿฆ„๐Ÿฆ“@Abmankendrickยท
Here's a complete roadmap to becoming a UI/UX Designer in 2026 (With Free Design Resources). You should bookmark it for later ๐Ÿ’œ ๐ŸงตOpen thread๐Ÿ‘‡
Abraham John ๐Ÿฆ„๐Ÿฆ“ tweet media
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Raymond K
Raymond K@Raymond_KR1ยท
์ด ์ข‹์€ ๊ณ„์ •์„ ์™œ ์ด์ œ ์•Œ์•˜๋Š”์ง€ X์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ์›๋ง์Šค๋Ÿฝ๋‹ค. ์ข€ ๋” ์‰ฝ๊ณ  ๋งˆ์Œ ํŽธํ•œ ํˆฌ์ž๋ฅผ ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ํ˜„์ธ๋“ค์˜ ์ง€ํ˜œ์™€ ์ง€์‹, ์ธ์‚ฌ์ดํŠธ๋ฅผ ๋นŒ๋ ค์•ผํ•œ๋‹ค.
KiTT_2020@kitt_2020

ํ…Œ์Šฌ๋ผ vs ์›จ์ด๋ชจ: ์ž์œจ์ฃผํ–‰์˜ ๋‘ ๊ฐ€์ง€ ์ฒ ํ•™ โ€” โ€˜๋ง๋ง๋Œ€ํ•ดโ€™์™€ โ€˜๋ฏธ๋กœ ๊ฐ™์€ ๋„๋กœโ€™ ์ž์œจ์ฃผํ–‰ ๊ธฐ์ˆ ์„ ๋…ผํ•  ๋•Œ, ๊ฐ€์žฅ ๋จผ์ € ๋– ์˜ค๋ฅด๋Š” ๋น„์œ ๊ฐ€ ์žˆ๋‹ค. ๋ฐ”๋‹ค ์œ„๋ฅผ ํ•ญํ•ดํ•˜๋Š” ๋ฐฐ๋ฅผ ์ƒ๊ฐํ•ด ๋ณด์ž. ๋ ˆ์ด๋”์— ์žกํžŒ ์ˆ˜๋งŽ์€ โ€˜์‡ณ๋ฉ์ดโ€™(๋‹ค๋ฅธ ์„ ๋ฐ•)๋“ค์˜ ์œ„์น˜๋งŒ ์•Œ๋ฉด ๋œ๋‹ค. ๋ฌผ๋ฆฌ์™€ ์ˆ˜ํ•™์œผ๋กœ ์ถฉ๋Œ ๊ฐ€๋Šฅ์„ฑ์„ ๊ณ„์‚ฐํ•˜๊ณ , ์ ์ ˆํžˆ ๋ฐฉํ–ฅ์„ ํ‹€๋ฉด ๋œ๋‹ค. ์ธ๊ณต์ง€๋Šฅ์ด ๋ฐ˜๋“œ์‹œ ํ•„์š”ํ•˜์ง€ ์•Š๋‹ค. ๋ฐ”๋‹ค๋Š” โ€˜๋ง๋ง๋Œ€ํ•ดโ€™์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ์–ด๋””๋กœ ๊ฐ€๋“ , ๋Œ€์ฒด๋กœ ์ž์œ ๋กญ๋‹ค. ํ•˜์ง€๋งŒ ๋„๋กœ ์œ„ ์ž์œจ์ฃผํ–‰์ฐจ๋Š” ์ƒํ™ฉ์ด ์™„์ „ํžˆ ๋‹ค๋ฅด๋‹ค. ๋„๋กœ๋Š” ๋ฏธ๋กœ์ฒ˜๋Ÿผ ๋ณต์žกํ•˜๊ฒŒ ์–ฝํ˜€ ์žˆ๊ณ , ์ฐจ์„  ์•ˆ์—์„œ๋งŒ ๋‹ฌ๋ ค์•ผ ํ•œ๋‹ค. ์ธ๋„๋กœ ์˜ฌ๋ผ๊ฐ€๋ฉด ์•ˆ ๋˜๊ณ , ์ž”๋””๋ฐญ์ด๋‚˜ ๋„๋ž‘์œผ๋กœ ๋–จ์–ด์ง€๋ฉด ์•ˆ ๋œ๋‹ค. ์ฃผ๋ณ€์˜ ๋‹ค๋ฅธ ์ฐจ๋Ÿ‰, ๋ณดํ–‰์ž, ์‹ ํ˜ธ๋“ฑ์€ ์‹ค์‹œ๊ฐ„์œผ๋กœ ํ”ผํ•ด์•ผ ํ•˜์ง€๋งŒ, ๊ทธ๋ณด๋‹ค ๋” ๊ทผ๋ณธ์ ์ธ ๋ฌธ์ œ๋Š” โ€˜์šดํ–‰ ๊ฐ€๋Šฅํ•œ ์˜์—ญโ€™๊ณผ โ€˜๊ธˆ์ง€๋œ ์˜์—ญโ€™์„ ์ •ํ™•ํžˆ ๊ตฌ๋ถ„ํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์‚ฌ๋žŒ์˜ ๋ˆˆ๊ณผ ๋‡Œ๊ฐ€ 3์ฐจ์› ์„ธ์ƒ์„ ์ž…์ฒด์ ์œผ๋กœ ์ธ์‹ํ•˜๋“ฏ, ์ฐจ๋Ÿ‰๋„ ์„ธ์ƒ์„ ๊ทธ๋ ‡๊ฒŒ ์ฝ์„ ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. ์ด ๋‚œ์ œ๋ฅผ ํ•ด๊ฒฐํ•˜๊ธฐ ์œ„ํ•ด ๊ตฌ๊ธ€ ์›จ์ด๋ชจ๊ฐ€ ์„ ํƒํ•œ ๋ฐฉ๋ฒ•์€ ๋ช…์พŒํ•˜๋‹ค. ์„ธ์ƒ์„ ๋ฏธ๋ฆฌ ์Šค์บ”ํ•ด์„œ ๊ณ ์ •๋ฐ€ ์ง€๋„(HD Map)๋ฅผ ๋งŒ๋“ ๋‹ค.์ด ์ง€๋„์—๋Š” ์ฐจ๋Ÿ‰์ด ๋‹ฌ๋ฆด ์ˆ˜ ์žˆ๋Š” ์ •ํ™•ํ•œ ์˜์—ญ(์ฐจ์„ , ๊ต์ฐจ๋กœ, ์ง„์ž…๋กœ ๋“ฑ)์ด ์ •๋ฐ€ํ•˜๊ฒŒ ์ •์˜๋˜์–ด ์žˆ๋‹ค. ์ฐจ๋Ÿ‰์€ LiDAR(๋ผ์ด๋”)๋กœ ์ฃผ๋ณ€์„ ์‹ค์‹œ๊ฐ„ ์Šค์บ”ํ•œ๋‹ค.์Šค์บ”ํ•œ ๋ฐ์ดํ„ฐ๋ฅผ ๋ฏธ๋ฆฌ ๋งŒ๋“ค์–ด ๋‘” ๊ณ ์ •๋ฐ€ ์ง€๋„์™€ ๋น„๊ตํ•ด, ์ž์‹ ์ด ์ง€๋„์ƒ ์ •ํ™•ํžˆ ์–ด๋””์— ์œ„์น˜ํ•˜๋Š”์ง€ ํŒŒ์•…ํ•œ๋‹ค(๋กœ์ปฌ๋ผ์ด์ œ์ด์…˜). ๊ทธ๋ ‡๊ฒŒ ํ™•์ •๋œ โ€˜์šดํ–‰ ๊ฐ€๋Šฅ ์˜์—ญโ€™ ์•ˆ์—์„œ๋งŒ ์ฃผํ–‰ํ•œ๋‹ค.์ฃผ๋ณ€์˜ ๋™์  ๊ฐ์ฒด(๋‹ค๋ฅธ ์ฐจ๋Ÿ‰, ์‚ฌ๋žŒ, ์ž์ „๊ฑฐ, ์‹ ํ˜ธ๋“ฑ ๋“ฑ)๋Š” ๋ณ„๋„์˜ ์ธ๊ณต์ง€๋Šฅ(์ปดํ“จํ„ฐ ๋น„์ „)์œผ๋กœ ์ฒ˜๋ฆฌํ•œ๋‹ค. ์ด๊ฒƒ์ด ๋ฐ”๋กœ ์›จ์ด๋ชจ๊ฐ€ ์ง€๊ธˆ๊นŒ์ง€ ์ˆ˜์ฒœ ๋Œ€์˜ ์ฐจ๋Ÿ‰์— LiDAR๋ฅผ ๋‹ฌ๊ณ  ์šด์˜ํ•ด ์˜จ ํ•ต์‹ฌ ์ „๋žต์ด๋‹ค. ๋ฐ˜๋ฉด ํ…Œ์Šฌ๋ผ๋Š” ์ฒ˜์Œ๋ถ€ํ„ฐ ๋‹ค๋ฅธ ๊ธธ์„ ์„ ํƒํ–ˆ๋‹ค. ์นด๋ฉ”๋ผ์™€ ์ธ๊ณต์ง€๋Šฅ(End-to-End Neural Network)๋งŒ์œผ๋กœ ์„ธ์ƒ์„ ์ดํ•ดํ•˜๊ณ , ์‚ฌ๋žŒ์ฒ˜๋Ÿผ โ€˜๋ณด์ด๋Š” ๋Œ€๋กœโ€™ ํŒ๋‹จํ•˜๊ฒŒ ํ•˜์ž๋Š” ์ฒ ํ•™์ด๋‹ค. ๊ณ ์ •๋ฐ€ ์ง€๋„๋‚˜ LiDAR์— ํฌ๊ฒŒ ์˜์กดํ•˜์ง€ ์•Š๊ณ , ์ˆœ์ˆ˜ ๋น„์ „(vision-only)์œผ๋กœ ๋ชจ๋“  ๊ฒƒ์„ ํ•ด๊ฒฐํ•˜๋ ค๋Š” ์ ‘๊ทผ์ด๋‹ค. ์ตœ๊ทผ ๋“ค์–ด ์›จ์ด๋ชจ๋„ ์ธ๊ณต์ง€๋Šฅ์˜ ๊ธ‰์†ํ•œ ๋ฐœ์ „์— ํž˜์ž…์–ด, ํ…Œ์Šฌ๋ผ์ฒ˜๋Ÿผ ๋น„์ „์— ๋” ๋ฌด๊ฒŒ๋ฅผ ๋‘๋Š” ์›€์ง์ž„์ด ๋ณด์ธ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ•œ ๊ฐ€์ง€ ๊ฒฐ์ •์ ์ธ ์ฐจ์ด๊ฐ€ ์žˆ๋‹ค. ์›จ์ด๋ชจ๋Š” ์ด๋ฏธ ์ˆ˜์ฒœ ๋Œ€์˜ ์ฐจ๋Ÿ‰์— LiDAR๊ฐ€ ์žฅ์ฐฉ๋œ ์ƒํƒœ๋ผ๋Š” ํ˜„์‹ค์ด๋‹ค. ๊ธฐ์ˆ ์ ์œผ๋กœ LiDAR๋ฅผ ๋นผ๋Š” ๊ฒƒ์ด ๊ฐ€๋Šฅํ•ด์กŒ๋‹ค๊ณ  ํ•ด๋„, ์‹ ํ˜• ์ฐจ๋Ÿ‰์—์„œ LiDAR๋ฅผ ์™„์ „ํžˆ ์ œ๊ฑฐํ•œ๋‹ค๋ฉด ์ด๋Š” ๋ช…๋ฐฑํ•œ ๋ฉ”์‹œ์ง€๋ฅผ ๋˜์ง€๋Š” ์…ˆ์ด๋‹ค. โ€œ์šฐ๋ฆฌ๊ฐ€ ๊ทธ๋™์•ˆ ๊ณ ์ง‘ํ–ˆ๋˜ ๊ณ ์ •๋ฐ€ ์ง€๋„ + LiDAR ๋ฐฉ์‹์ด ๊ฒฐ๊ตญ ํ‹€๋ ธ๋‹ค. ํ…Œ์Šฌ๋ผ์˜ ๋น„์ „ ์ค‘์‹ฌ ์ ‘๊ทผ์ด ์˜ณ์•˜๋‹ค.โ€ ์ž์œจ์ฃผํ–‰ ์—…๊ณ„์—์„œ โ€œ๋ฐ”๋ณด์˜€๋‹คโ€๋Š” ๋ง์€ ๊ฒฐ์ฝ” ๊ฐ€๋ณ์ง€ ์•Š๋‹ค. ๊ธฐ์ˆ ์  ์šฐ์œ„๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ์ˆ˜์กฐ ์› ๊ทœ๋ชจ์˜ ํˆฌ์ž์™€ ์ˆ˜๋…„๊ฐ„ ์Œ“์•„์˜จ ์šด์˜ ๋ฐ์ดํ„ฐ๋ฅผ ํ•œ ๋ฒˆ์— ๋’ค์ง‘๋Š” ๊ฒฐ์ •์ด๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ง๋ง๋Œ€ํ•ด๋ฅผ ํ•ญํ•ดํ•˜๋Š” ๋ฐฐ์™€ ๋ฏธ๋กœ ๊ฐ™์€ ๋„๋กœ๋ฅผ ๋‹ฌ๋ฆฌ๋Š” ์ฐจ. ๋‘ ํ™˜๊ฒฝ์ด ๊ทผ๋ณธ์ ์œผ๋กœ ๋‹ค๋ฅด๊ธฐ ๋•Œ๋ฌธ์—, ํ•ด๊ฒฐ์ฑ…๋„ ๋‹ฌ๋ผ์งˆ ์ˆ˜๋ฐ–์— ์—†์—ˆ๋‹ค. ๊ทธ๋ฆฌ๊ณ  ๊ทธ ์„ ํƒ์˜ ๊ฒฐ๊ณผ๋Š” ์•ž์œผ๋กœ ๋ช‡ ๋…„ ์•ˆ์—, ์‹ค์ œ ๋„๋กœ ์œ„์—์„œ ํŒ๊ฐ€๋ฆ„ ๋‚  ๊ฒƒ์ด๋‹ค.

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kieran Drew
kieran Drew@Drew_code0ยท
BREAKING: AI can now build you a complete website in 2 hours (for free). Here are 9 insane Claude Opus 4.6 + Figma Make prompts that create $5,000 websites in 2 hours: (Save this before your competitors do)๏ฟผ
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๋ธ”๋ž™์•„์›ƒ
๋ธ”๋ž™์•„์›ƒ@blackout_krยท
์˜ˆ์ƒ ์‹œ๋‚˜๋ฆฌ์˜ค "ใ…‹ใ…‹ใ…‹ AI ๋”ธ๊น์ด๋ฉด ๋œ๋‹ค๋ฉฐ? ์™ธ์ฃผ ์ฃผ์ง€๋ง๊ณ  ๋‹ˆ๋“ค์ด ๋งŒ๋“ค์–ด" "๊ณ„์†ํ•˜๋Š”๋ฐ ์™œ ํ•ญ์ƒ 2% ๋ถ€์กฑํ•˜์ง€?" "์‚ฌ์žฅ๋‹˜ ์ด๋ฏธ ํ† ํฐ ๋น„์šฉ์ด ์™ธ์ฃผ ๋น„์šฉ์„ ๋„˜์—ˆ..." "AI ๋•Œ๋ฌธ์— ์™ธ์ฃผ๋น„์šฉ๋„ ์‹ธ์กŒ์„๊ฑฐ ์•„๋ƒ ์™ธ์ฃผ ์•Œ์•„๋ด" "์‚ฌ์žฅ๋‹˜ ์™ธ์ฃผ ์—…์ฒด๋“ค์ด ๋‹ค ์‚ฌ๋ผ์ ธ์„œ ๋น„์‹ผ ์—…์ฒด๋งŒ ๋‚จ์•„์„œ...." "ํฌ๋ชฝ๊ฐ™์€๋ฐ ์‹ผ๊ฑฐ ์žˆ์ž–์•„" "๊ฒฐ๊ณผ๊ฐ€ ์šฐ๋ฆฌ๊ฐ€ ๋งŒ๋“  ๊ฑฐ๋ž‘ ๋ณ„๋ฐ˜ ๋‹ค๋ฅด์ง€ ์•Š์€๋ฐ์š”?" "๊ทธ๋Ÿผ ๊ฐœ๋ฐœํŒ€์„ ๋งŒ๋“ค์–ด ๋ณผ๊นŒ?" "๊ฐœ๋ฐœ์ž๋“ค๋„ ๋‹ค ์ „์—…ํ•ด์„œ ์—ฐ๋ด‰ ๋น„์‹ผ ์‚ฌ๋žŒ๋“ค ๋ฐ–์—..." "๊ทธ๋Ÿผ ์ด๊ฑฐ ๊ฐœ๋ฐœ ๋ˆ„๊ฐ€ํ•˜๋ƒ?"
์•„๊ตฌ๋ฐ ์•„์ปค๋งŒ@aguming_

์ด๊ฑฐ๊ฐœ๋ฐœ์ž๋„ ๋งˆ์ฐฌ๊ฐ€์ง€๋ผ์„œ ๊ฐœ๋ฐœ์ž ์•ˆ๋งํ•œ๋‹ค์— ํ™•์‹ ์ด ์ƒ๊น€ ใ„นใ…‡

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