Killua_🐐 retweetledi
Killua_🐐
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Killua_🐐 retweetledi
Killua_🐐 retweetledi
Killua_🐐 retweetledi

WIZKID FC LETS SET ASIDE OUR DIFFERENCES TODAY, I NEED YOU GUYS 🥹🫶🏾
EVERLASTING TAKER@BlaqBonez
1 MILLION STREAMS WTF WTF WTFFFF STILL 7 HOURS TO GO CAN WE BREAK THE ALL TIME FIRST DAY RECORD????🤯
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@BitRobotNetwork The winners of the codes are:
@yinkyjr @GafKillua @Engr_Olan
Congratulations, code will be sent to you in chat shortly
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Killua_🐐 retweetledi

Giveaway time!
Come join BitRobot, the network where humans, robots & computers work together
I'm dishing out 3 TeleArms Early Access codes
To participate
1.Follow @BitRobotNetwork on X
2.Join our official Discord server: discord.gg/bitrobot
3.Tag 3 friends in the comments

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Killua_🐐 retweetledi

NFTs were art.
Then bags.
Now utility.
Soon?
They’ll think for themselves.
Don’t fade this one:
lobsternft.lol/waitlist

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Killua_🐐 retweetledi
Killua_🐐 retweetledi
Killua_🐐 retweetledi

@pizzlefunds101 No mind that ekuke boss he no go fit sleep peacefully this night 😂😂
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Killua_🐐 retweetledi
Killua_🐐 retweetledi

Let’s talk about the 𝗙𝗼𝘂𝗿 𝗗𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝘀 of @axisrobotics task generation
One thing that makes axis task generation engine powerful is that it doesn’t just create one robotic task, it creates diverse, scalable training experiences automatically.
𝗜𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗳𝗼𝘂𝗿 𝗸𝗲𝘆 𝗱𝗶𝗺𝗲𝗻𝘀𝗶𝗼𝗻𝘀:
✅️ 𝗦𝗰𝗲𝗻𝗮𝗿𝗶𝗼𝘀: this defines the goal and context of the task. With a simple natural language prompt, axis can turn an idea into a structured robotic experience.
✅️ 𝗔𝘁𝗼𝗺𝗶𝗰 𝗖𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀: Complex tasks are broken down into basic robotic skills like grasping, moving, placing, and interacting with objects. This helps robots learn foundational behaviors step by step.
✅️ 𝗟𝗮𝘆𝗼𝘂𝘁𝘀: axis builds realistic 3D environments, arranging objects with proper positioning, orientation, and physical constraints so the scene makes sense in the real world.
✅️ 𝗔𝘀𝘀𝗲𝘁 𝗥𝗮𝗻𝗱𝗼𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻: Objects, clutter, camera viewpoints, and scene details are continuously varied, creating endless task combinations and helping robots generalize better.
Together, these dimensions make axis task generation more than just simulation building, they make it a scalable engine for training robots beyond fixed, hand-crafted environments.

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