Telixia

Robotics & AI Education

[Telixia @TelixiaAI]

Humanoid robot manufacturing is scaling fast 🤖

Figure says it went from producing 1 robot per day to 1 robot per hour in just 120 days.

The humanoid race is accelerating.

#Robotics #AI #HumanoidRobots #Automation

[Space and Technology @spaceandtech_]

Figure says it has increased humanoid robot production from one robot per day to one robot per hour in just 120 days.

The robots undergo intensive testing, including repeated squats and jogging movements.

Figure also demonstrated the robot's ability to climb stairs and navigate complex terrain using vision-based control.

[Telixia @TelixiaAI]

Humanoid robots are quietly entering real factories

South Korea’s Neuromeka has deployed humanoid robots for loading, handling, transport, and production-line assistance.

The era of industrial humanoids is no longer a future concept.

#Robotics #AI #HumanoidRobots #Automation

[CyberRobo @CyberRobooo]

Tireless humanoid workers are truly entering factories

South Korea’s Neuromeka has partnered with local giant SL Corporation (a major player in automotive lighting, mirrors, and chassis components) to quietly deploy industrial humanoid robots in its facilities.

The system combines dual-arm humanoid collaboration with AMR autonomous mobility technology, enabling automated:

>PCB board cutting
>Automated loading and unloading
>Material handling and transport
>Processing assistance

It adapts seamlessly to existing complex production lines without requiring major modifications. The entire deployment is powered by Neuromeka’s EIR humanoid robot platform(Released at CES 2026)

Notably, South Korea has the world’s highest robot density (1,220 robots per 10,000 manufacturing workers), with traditional industrial robots already widely adopted.

Humanoid robots are now filling in the final piece of the puzzle:

while conventional robotic arms excel at fixed repetitive tasks, humanoid and dual-arm mobile robots bring greater flexibility and intelligent adaptability, allowing them to handle unstructured environments and complex collaborative tasks.

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When humanoid robots are embedded within a vast collaborative network, the focus of evaluation no longer lies solely on the humanoid robots themselves.

[Telixia @TelixiaAI]

Not every humanoid robot needs to look intimidating 🤖

JAKA π is a compact humanoid built for education, entertainment, commercial applications, and elderly care.

Cute design. Serious engineering.

Credit: @CyberRobooo

#Robotics #AI #HumanoidRobots #Tech

[Telixia @TelixiaAI]

Humanoid robots aren’t just learning to work—they’re learning to play ⚽🤖

Booster Robotics recently showcased its humanoids on the football field, giving a glimpse of how far robotic mobility has come.

Credit: @SciTechera

#Robotics #AI #HumanoidRobots #Tech

[Telixia @TelixiaAI]

The Robot World Cup is getting closer ⚽🤖

Atlas is practicing football skills.
BOOSTER is already competing in RoboCup.
Now we just need more robotics companies to join the game.

Credit: @XRoboHub

#Robotics #AI #HumanoidRobots #Tech

[Telixia @TelixiaAI]

Humanoid robots are learning to move more like humans 🤖

AGIBOT’s new AGILE model combines perception, balance, and motion planning into one system—allowing robots to adapt to terrain and obstacles in real time.

Credit: @TheHumanoidHub

#Robotics #AI #HumanoidRobots #Tech

[Telixia @TelixiaAI]

This Arduino-powered system tracks and controls a ping pong ball in real time 🎯

With 120 FPS image processing, predictive algorithms, and precise motion control, it can perform increasingly complex ball-balancing and bouncing patterns.

#Arduino #Robotics #Engineering #Tech

[Wevolver @WevolverApp]

This Arduino-powered project combines 120 FPS custom image processing with smooth stepper motor control to balance and direct an orange ping pong ball. By tracking the ball in real time and calculating its 3D position, the system continuously adjusts the platform to control the ball's movement.

In this video, the creator demonstrates new bouncing patterns. These capabilities were made possible through major upgrades to the Unity-based control system, including a redesigned ball-detection algorithm, improved data visualization, hit-position prediction using gradient descent, real-time tilt visualization, analytical tilt control, and support for two-step bouncing.

Together, these enhancements enable more accurate tracking and increasingly sophisticated ball-control behaviors.

Video Credit: YouTube/ Electron Dust

#engineering #technology

[Telixia @TelixiaAI]

RAG, Fine-tuning, Prompt Engineering, or Context Engineering?

They solve different problems.

Knowing when to use each is becoming a key AI skill 👇

#AI #RAG #LLM #AIAgents

[Telixia @TelixiaAI]

The future of AI isn't one agent.

It's multiple agents working together 🤖

Here are 8 multi-agent collaboration patterns every AI builder should know 👇

#AI #AIAgents #AgenticAI

[Telixia @TelixiaAI]

Most AI agent projects fail before they start.

Why?

Because they skip the strategy.

This playbook shows the 7 steps from idea → deployment → ROI 👇

#AI #AIAgents #AgenticAI

[Telixia @TelixiaAI]

@WevolverApp A perfect example of how powerful feedback loops can be. Small improvements in perception and control can unlock surprisingly complex behaviors.

[Telixia @TelixiaAI]

@spaceandtech_ Moving from one humanoid per day to one per hour signals that the industry is shifting from research prototypes toward industrial manufacturing. The real milestone isn't climbing stairs, it's producing reliable robots at scale while maintaining performance, safety, and durability

[Telixia @TelixiaAI]

@CyberRobooo When mobile humanoids can navigate existing environments, collaborate with other machines, and adapt to changing workflows, factories gain flexibility that traditional fixed automation can't easily provide.

[Telixia @TelixiaAI]

Meet Argus 🤖

A 20-legged robot inspired by math, not nature.

It can move in any direction, handle rough terrain, keep going with damaged legs, and even climb walls.

Credit: @lukas_m_ziegler

#Robotics #AI #Tech

[Telixia @TelixiaAI]

AI agents don't just respond—they remember 🧠

Short-term memory, long-term memory, context recall, and learning loops help agents become smarter over time.

A simple visual explanation 👇

#AI #AIAgents #AgenticAI

[Telixia @TelixiaAI]

Confused about Generative AI, Agentic AI, and AI Agents?

This visual breaks down the differences in one place 👇

#AI #AgenticAI #AIAgents #GenAI

[Telixia @TelixiaAI]

AI didn't start with ChatGPT.

From Classical AI → Machine Learning → Neural Networks → Deep Learning → Generative AI → Agentic AI.

This is the evolution of modern AI 👇

#AI #MachineLearning #DeepLearning #GenAI

[Telixia @TelixiaAI]

AI agents evolve across five levels from simple LLM responses to fully autonomous systems.

Each level adds routing, tool use, multi step coordination, and validation, gradually increasing intelligence and autonomy.

Credit: @MuhammadSaqib

#AI #Robotics #EdTech #classroom

[Telixia @TelixiaAI]

RAG workflows show how AI retrieves external data and generates answers.

Sequential, Router, Parallel, and Critique workflows organize how agents search information, combine knowledge, and improve results to deliver reliable responses in modern AI systems.

Credit: @RahulAgarwal

[Telixia @TelixiaAI]

This visual maps ten careers and the tasks AI can automate across engineering, data, product, marketing, sales, HR, design, support, and founders.

It shows how automation frees time for higher value work.

Credit: @DenisPanjuta.

#AI #Robotics #EdTech #classroom