Tootfinder

IBM übernimmt HashiCorp: Terraform und Ansible sollen zusammenarbeiten
Red Hat gehört seit 2019 zu IBM, HashiCorp seit Februar 2025. IBM hat damit Ansible und Terraform gekauft. Jetzt wird klar, wie die Werkzeuge zusammenarbeiten.

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Ziwon Yoon, Lawrence Y. Zhu, Lu Gan, Ye Zhao
https://arxiv.org/abs/2506.01046

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Bipedal robots have advantages in maneuvering human-centered environments, but face greater failure risk compared to other stable mobile plarforms such as wheeled or quadrupedal robots. While learning-based traversability has been widely studied for these platforms, bipedal traversability has instead relied on manually designed rules with limited consideration of locomotion stability on rough terrain. In this work, we present the first learning-based traversability estimation and risk-sensitive…

#TerryPratchett

Mittlerweile bin ich ja ganz gut drin, den Nvidia-Treiber nach nem Kernel-Update wieder ans laufen zu kriegen
1. Vorletzen Nvidia-Treiber installieren
2. Neustart
3. Ersten Monitor ausmachen, damit der zweite dann ein Bild zeigt
4. Neusten Nvidia-Treiber installieren
5. Neustart
6. Ggf. bei Steam auch noch mal auf Update drücken
Geht wahrscheinlich auch schlauer, direkt irgendwelche Kernelparameter zu übernehmen, aber weiß ich das? 🙃

#Apple has taken a lot of heat for the controversial changes to #macOS design. I think it's possible to strike a balance* between appealing to Gen Z users, and honoring the old style. Therefore it is my belief that Apple should adopt Sigma Finder as soon as possible.
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This https://arxiv.org/abs/2506.01046 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

STATE-NAV: Stability-Aware Traversability Estimation for Bipedal Navigation on Rough Terrain
Bipedal robots have advantages in maneuvering human-centered environments, but face greater failure risk compared to other stable mobile plarforms such as wheeled or quadrupedal robots. While learning-based traversability has been widely studied for these platforms, bipedal traversability has instead relied on manually designed rules with limited consideration of locomotion stability on rough terrain. In this work, we present the first learning-based traversability estimation and risk-sensitive…

Friends from English-speaking countries that say "zed" instead of "zee":
What is the last verse of the alphabet song?
The US version ends "now I know my A B Cs, next time won't you sing with me." Which therefore rhymes with "zee".
But it wouldn't rhyme with "zed". So what do you say instead? Or does it just not rhyme as well?

If you are a geek and a fan of #SirTerryPratchett, you should know about X-Clacks-Overhead.
#TerryPrachett #discworld

the movement of the earth's axis was noticed by the sumerians over six thousand years ago, when they observed the star canopus culminating directly above the horizon, on the southern meridian, for the first time in their oldest and southernmost city eridu. for several decades, canopus wasn't visible in the neighboring northeast town of ur, and therefore, it was called the "star of the city of eridu" in sumerian.

I Move Therefore I Learn: Experience-Based Traversability in Outdoor Robotics
Miguel \'Angel de Miguel, Jorge Beltr\'an, Juan S. Cely, Francisco Mart\'in, Juan Carlos Manzanares, Alberto Garc\'ia
https://arxiv.org/abs/2507.00882

I Move Therefore I Learn: Experience-Based Traversability in Outdoor Robotics
Accurate traversability estimation is essential for safe and effective navigation of outdoor robots operating in complex environments. This paper introduces a novel experience-based method that allows robots to autonomously learn which terrains are traversable based on prior navigation experience, without relying on extensive pre-labeled datasets. The approach integrates elevation and texture data into multi-layered grid maps, which are processed using a variational autoencoder (VAE) trained on…