I see a lot of @PrismaXai user get confused between Teleoperation vs Automation.
Today i will clarify this confusion.
๐๐๐ฅ๐๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง and ๐๐ฎ๐ญ๐จ๐ฆ๐๐ญ๐ข๐จ๐ง
At First both are involving Robots that periodically task
But Key difference is who makes the decision of controls.
Automation
In automation, the robot acts independently.
Here it makes decisions on its own
It also follows pre trained models
It requires minimal human intervention
Teleoperation
In teleoperation, a human guides the robot in real time
It does human controls actions
It Handles unexpected situations
It provides judgment and corrections
๐๐จ๐ฐ ๐ญ๐ก๐๐ฒ ๐ฐ๐จ๐ซ๐ค ๐ญ๐จ๐ ๐๐ญ๐ก๐๐ซ
Teleoperation isnโt the opposite of automation.
Itโs the path to automation.
Humans first teach robots through real world tasks.
Over time, robots learn patterns, improve decision making, and gradually require less assistance.
Letโs talk about the ultimatum of @PrismaXai
๐๐ก๐ ๐ฆ๐จ๐ซ๐ ๐ฎ๐ฌ๐๐ซ๐ฌ ๐จ๐ง ๐๐ซ๐ข๐ฌ๐ฆ๐๐ โ ๐๐ก๐ ๐ฌ๐ฆ๐๐ซ๐ญ๐๐ซ ๐ซ๐จ๐๐จ๐ญ๐ฌ ๐๐๐๐จ๐ฆ๐
We all know in Crypto community is key for development of projects and Prisma took this at another level every new operator doesnโt just add activity to the network and they also add intelligence.
More users complete teleoperation tasks across different environments and scenarios.
Every action, correction generates valuable real world training data.
Robots learn from a larger and more diverse set of human behaviors
Improved data leads to better performance, adaptability, and autonomy.
Look at this scenario:โ
A robot trained by 10 operators learns useful skills.
A robot trained by 10,000 operators learns more edge cases, more human strategies, more real world behaviour.
More Users<More Data<Better Models<Smarter Robots<More Adoption
Twitter: @prismaxai
Discord: https://t.co/9XHpUbP6sY
Website: https://t.co/dHcF8XfA5o
Letโs talk about the ultimatum of @PrismaXai
๐๐ก๐ ๐ฆ๐จ๐ซ๐ ๐ฎ๐ฌ๐๐ซ๐ฌ ๐จ๐ง ๐๐ซ๐ข๐ฌ๐ฆ๐๐ โ ๐๐ก๐ ๐ฌ๐ฆ๐๐ซ๐ญ๐๐ซ ๐ซ๐จ๐๐จ๐ญ๐ฌ ๐๐๐๐จ๐ฆ๐
We all know in Crypto community is key for development of projects and Prisma took this at another level every new operator doesnโt just add activity to the network and they also add intelligence.
More users complete teleoperation tasks across different environments and scenarios.
Every action, correction generates valuable real world training data.
Robots learn from a larger and more diverse set of human behaviors
Improved data leads to better performance, adaptability, and autonomy.
Look at this scenario:โ
A robot trained by 10 operators learns useful skills.
A robot trained by 10,000 operators learns more edge cases, more human strategies, more real world behaviour.
More Users<More Data<Better Models<Smarter Robots<More Adoption
Twitter: @prismaxai
Discord: https://t.co/9XHpUbP6sY
Website: https://t.co/dHcF8XfA5o
We all know @PrismaXai have different phases in their development process.
This Teleoperation phase is the pre training phase of robots think it like human learn by doing.
๐๐๐ฅ๐๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง ๐ข๐ฌ ๐ญ๐ก๐ ๐ฉ๐ซ๐ ๐ญ๐ซ๐๐ข๐ง๐ข๐ง๐ ๐ฉ๐ก๐๐ฌ๐ ๐จ๐ ๐ซ๐จ๐๐จ๐ญ๐ฌ
How I believe this Teleoperation Act as Pre training.
Human Demonstrates- Operators remotely control robots and perform real world tasks.
Experience Becomes Data- So every movement, correction, and decision is captured as training data.
AI Learns Patterns- This Models study human behavior to understand successful actions.
Robot Builds Skills- I see Over time, robots begin performing tasks with less human assistance.
We all know @PrismaXai have different phases in their development process.
This Teleoperation phase is the pre training phase of robots think it like human learn by doing.
๐๐๐ฅ๐๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง ๐ข๐ฌ ๐ญ๐ก๐ ๐ฉ๐ซ๐ ๐ญ๐ซ๐๐ข๐ง๐ข๐ง๐ ๐ฉ๐ก๐๐ฌ๐ ๐จ๐ ๐ซ๐จ๐๐จ๐ญ๐ฌ
How I believe this Teleoperation Act as Pre training.
Human Demonstrates- Operators remotely control robots and perform real world tasks.
Experience Becomes Data- So every movement, correction, and decision is captured as training data.
AI Learns Patterns- This Models study human behavior to understand successful actions.
Robot Builds Skills- I see Over time, robots begin performing tasks with less human assistance.
We all know everyone learn slowly and robots are like human, they donโt become intelligent overnight.
And this is how @PrismaXai helps.
How Robots Learn Step by Step
1) Picking Objects
Robots first learn simple tasks like grabbing items , moving objects and understanding positioning
This helps train basic motion and coordination.
2) Understanding Actions
As humans teleoperate robots, AI begins learning timing, precision, decision making.
Every task becomes training data.
3) Complex Real-World Tasks
Over time, robots move from simple actions to multi-step workflows like preparing food, organising spaces and assisting humans.
We all know everyone learn slowly and robots are like human, they donโt become intelligent overnight.
And this is how @PrismaXai helps.
How Robots Learn Step by Step
1) Picking Objects
Robots first learn simple tasks like grabbing items , moving objects and understanding positioning
This helps train basic motion and coordination.
2) Understanding Actions
As humans teleoperate robots, AI begins learning timing, precision, decision making.
Every task becomes training data.
3) Complex Real-World Tasks
Over time, robots move from simple actions to multi-step workflows like preparing food, organising spaces and assisting humans.
Letโs understand how i see @PrismaXai in resemblance to real world like what project is working like prisma.
So these are my 2 closest resemblance of Prisma working:-
Uber for robot operators- Connecting humans to robots across the world for real time tasks.
AWS for robotics data- Collecting, storing, and scaling massive real world training data for AI.
What does this really mean?
PrismaX isnโt just a platform itโs an infrastructure layer for physical AI. It enables humans remotely operate robots and every action becomes valuable data with data trains smarter AI models.
What these models signify?
I believe just like Uber scaled transportation and AWS scaled computing,
PrismaX is scaling robot intelligence through human contribution.
Letโs comment your closest real life resemblance for @PrismaXai.
GM CT
Just reached a new milestone in my journey with PrismaX.
I just unlocked 3rd role in @PrismaXai ecosystem, starting as Reactive and reaching to Proactive lead to growing into Teleoperator, and now becoming a Verified Visionary.
This journey has been all about consistency, learning, and contributing to something bigger than just participation. From engaging in tasks to understanding the deeper vision of human in the loop AI, every step has added real value.
Grateful for the community, the opportunities, and the recognition
This is just the beginning and aiming o contribute even more and grow further within PrismaX.
Letโs keep building, learning, and pushing the limits of what we can achieve together.
Thanks to @vivianrobotics@PrismaXai
Twitter: @prismaxai
Discord: https://t.co/9XHpUbP6sY
Website: https://t.co/nM48eLcRto
GM CT
Just reached a new milestone in my journey with PrismaX.
I just unlocked 3rd role in @PrismaXai ecosystem, starting as Reactive and reaching to Proactive lead to growing into Teleoperator, and now becoming a Verified Visionary.
This journey has been all about consistency, learning, and contributing to something bigger than just participation. From engaging in tasks to understanding the deeper vision of human in the loop AI, every step has added real value.
Grateful for the community, the opportunities, and the recognition
This is just the beginning and aiming o contribute even more and grow further within PrismaX.
Letโs keep building, learning, and pushing the limits of what we can achieve together.
Thanks to @vivianrobotics@PrismaXai
Twitter: @prismaxai
Discord: https://t.co/9XHpUbP6sY
Website: https://t.co/nM48eLcRto
I see a lot of post about @PrismaXai working but i think one thing is still missing to explain.
๐๐จ๐๐จ๐ญ๐ฌ ๐๐จ๐งโ๐ญ ๐ฅ๐๐๐ซ๐ง ๐ฅ๐ข๐ค๐ ๐๐ก๐๐ญ๐๐๐.
Basically Chatgpt train itโs model using raw data but Robots are different they need to see, move, and interact with the real world.
What Robots Actually Need:โ
โ Vision
Understanding surroundings through cameras and sensors that do through Teleoperation.
โ Motion
Learning how to move, pick, place, and navigate using robotic arms.
โ Interaction
Reacting to real world environments and human input that help in gaining more accurate data.
How PrismaX Solves This:โ
With teleoperation, humans remotely control robots and generate real world training data:
โข Every movement becomes motion data.
โข Every decision improves interaction.
โข Every task builds visual understanding.
PrismaX bridges this gap by turning human actions into multi dimensional intelligence.
I see a lot of post about @PrismaXai working but i think one thing is still missing to explain.
๐๐จ๐๐จ๐ญ๐ฌ ๐๐จ๐งโ๐ญ ๐ฅ๐๐๐ซ๐ง ๐ฅ๐ข๐ค๐ ๐๐ก๐๐ญ๐๐๐.
Basically Chatgpt train itโs model using raw data but Robots are different they need to see, move, and interact with the real world.
What Robots Actually Need:โ
โ Vision
Understanding surroundings through cameras and sensors that do through Teleoperation.
โ Motion
Learning how to move, pick, place, and navigate using robotic arms.
โ Interaction
Reacting to real world environments and human input that help in gaining more accurate data.
How PrismaX Solves This:โ
With teleoperation, humans remotely control robots and generate real world training data:
โข Every movement becomes motion data.
โข Every decision improves interaction.
โข Every task builds visual understanding.
PrismaX bridges this gap by turning human actions into multi dimensional intelligence.
Teleoperation x @PrismaXai Fun.
Yesterday, I had the opportunity to organize an exciting Smash Kart event for the PrismaX India region ๐ฎ๐ณ.
The event brought together an amazing community of gamers and builders in Prisma India community.
What i love the most is that a lot of players come to the event and play the game with fun and had voice chat in Prisma discord.
Events like these show how strong and active the PrismaX community is becoming in India.
Itโs not just about winning game but itโs about every indian member participating in the event and create a fun environment where everyone could compete and connect.
Grateful to everyone who joined and made this event successful ๐
Looking forward to hosting more such events soon .
Here is the winner list
Round1- @Ordinalsbit
Round2- @ag7oct
Round 3-@Ordinalsbit
Thank to @ayushgautam174 for allowing me to host the event.
Twitter: @prismaxai
Discord: https://t.co/9XHpUbP6sY
Website: https://t.co/nM48eLcRto
Teleoperation x @PrismaXai Fun.
Yesterday, I had the opportunity to organize an exciting Smash Kart event for the PrismaX India region ๐ฎ๐ณ.
The event brought together an amazing community of gamers and builders in Prisma India community.
What i love the most is that a lot of players come to the event and play the game with fun and had voice chat in Prisma discord.
Events like these show how strong and active the PrismaX community is becoming in India.
Itโs not just about winning game but itโs about every indian member participating in the event and create a fun environment where everyone could compete and connect.
Grateful to everyone who joined and made this event successful ๐
Looking forward to hosting more such events soon .
Here is the winner list
Round1- @Ordinalsbit
Round2- @ag7oct
Round 3-@Ordinalsbit
Thank to @ayushgautam174 for allowing me to host the event.
Twitter: @prismaxai
Discord: https://t.co/9XHpUbP6sY
Website: https://t.co/nM48eLcRto
๐๐จ๐๐๐ฒ ๐ฐ๐ก๐ข๐ฅ๐ ๐๐จ๐ข๐ง๐ ๐๐๐ฅ๐๐จ๐ฉ๐๐ซ๐๐ญ๐ข๐จ๐ง ๐ข๐ง @๐๐ซ๐ข๐ฌ๐ฆ๐๐๐๐ข ๐ข ๐ฅ๐๐๐ซ๐ง๐๐ ๐ ๐ฐ๐จ๐ซ๐ ๐๐ฎ๐ฆ๐๐ง ๐ข๐ง ๐๐จ๐จ๐ฉ.
I take more knowledge about this word and get to know that when we are doing Teleoperation, we are just creating a human in loop that allows robots to learn directly from human actions through teleoperation.
So basically Robots are dumb they can only follow commands and struggle with situations like unexpected situations, Real world decision making and adaptability.
How Human-in-the-Loop Works:โ
Human Operates - A person remotely controls the robot during real-world tasks.
Data is Captured - Every movement, correction, and decision becomes valuable training data.
AI Learns- The system studies human behavior to understand what works best in different situations.
Robot Improves- Over time, robots become smarter, faster, and more autonomous.
This is continuous loop in Prisma where
Human Action โ Training Data โ AI Learning โ Better Robots