eudamonic

[eudamonic @eudamonic3]

@djoniecash2 Enak aja lu ngatain pak prabowo dungu

[eudamonic @eudamonic3]

@multabolot Prabowo is also an exception

[eudamonic @eudamonic3]

@rudifs_sui @dinamarselina

[eudamonic @eudamonic3]

@therahmalogy @dinamarselina

[eudamonic @eudamonic3]

@me_shry1 @dinamarselina

[eudamonic @eudamonic3]

@therahmalogy @dinamarselina

[eudamonic @eudamonic3]

@dinamarselina wkwk

[eudamonic @eudamonic3]

@dinamarselina giliran apa tu kak?

[eudamonic @eudamonic3]

@therahmalogy @Insideme11 @saudinesia @dinamarselina

[eudamonic @eudamonic3]

@dinamarselina avg iran supporter

[Fabrizio Bustamante Escudero @Fabriziobustama]

A drone cleaning solar panels from the air. 🚁☀️

Dust and dirt can reduce solar efficiency by up to 30%.

Instead of dangerous manual work, #drones can now clean panels faster, safer, and more efficiently.

#Automation + #cleanenergy = the future of maintenance.

#SDGs #Tech #AI

[Daniel @daniel_z1909]

Gemini 3.1 Pro creates machine components with all details!

-> Pneumatic Cylinder Simulator

✨ Switch between realistic, X-ray, and ghosted views
💨 Real-time volumetric airflow dynamics
📊 Live physics HUD (pressure, volume, velocity, force)
🔍 Exploded assemblies + interactive BOM
⚙️ Manual control or smooth auto-cycle

Engineering, reimagined.

[kiti メ @NainKiriti]

funny how in school you hate physics because of the exams, but then you start a project and suddenly you’re obsessed with how torque and inertia work. it hits different when you actually need to use it.

[Jiafei Duan @DJiafei]

Why do generalist robotic models fail when a cup is moved just two inches to the left? It’s not a lack of motor skill, it’s an alignment problem. Today, we introduce VLS: Vision-Language Steering of Pretrained Robot Policies, a training-free framework that guides robot behavior in real time.

Check out the project: https://t.co/9xE68JPLUv
👇🧵 (Watch till the end: VLS runs uncut, steering pretrained policies across long-horizon tasks.)

[Ilir Aliu @IlirAliu_]

A collection of Python robotics algorithms (localization, SLAM, path planning, motion planning).
(📍GitHub )

Python sample codes and textbook for robotics algorithms.

GitHub: https://t.co/4NRf4VCkZP

——

Weekly robotics and AI insights.
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[Science Robotics @SciRobotics]

Scientists have developed a #bioinspired policy that enables a multifingered robot to combine visual and tactile cues, like humans, to perform learned and new #manipulation tasks even under poor lighting conditions.

Learn more in Science #Robotics: https://t.co/MUene2lPpC

[Chenhao Li @breadli428]

On our webpage, we explain why offline RL is especially challenging for legged locomotion, despite its success in VLA post-training.

❗️In short: Value-function-based RL methods underperform in legged locomotion. Thus most offline RL pipelines with value regularization fail to apply.

If policy gradient is a must given a fixed dataset, policies must be able to leverage synthetic experience. This makes model-based RL not just attractive, but essential.

Without new data, one has to deal with undercovered regions within the fixed dataset when optimizing the policy.

[Lukas Ziegler @lukas_m_ziegler]

Let's talk about balance! ⚖️

The Ball and Beam system is a classic unstable control problem where a ball's position on a tilting beam must be regulated by adjusting the beam angle through feedback control.

A PID controller (built on ESP32) computes the required beam angle by combining three terms: proportional error correction, accumulated error elimination, and rate-of-change damping.

Implementation requires discretizing the continuous PID equation for digital sampling, and calculating error terms at each time step.

Tuning can be performed using classical methods like Ziegler-Nichols, he he.

Yeah, I know - I was a rockstar in college ;)

Great content yan_correa! 🦾

~~

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[NVIDIA Omniverse @nvidiaomniverse]

.@Siemens and NVIDIA are accelerating the next wave of automation with physical AI. 🤝

Watch the full hashtag#CES2026 demo to see how Siemens is integrating NVIDIA CUDA-X libraries and Omniverse into its EDA, CAE, and digital twin portfolio, bringing physical AI across the entire industrial lifecycle.

📺 https://t.co/3UVIfKRysB