Tootfinder

Gaussian path model library for intuitive robot motion programming by demonstration
Samuli Soutukorva, Markku Suomalainen, Martin Kollingbaum, Tapio Heikkil\"a
https://arxiv.org/abs/2509.10007

Gaussian path model library for intuitive robot motion programming by demonstration
This paper presents a system for generating Gaussian path models from teaching data representing the path shape. In addition, methods for using these path models to classify human demonstrations of paths are introduced. By generating a library of multiple Gaussian path models of various shapes, human demonstrations can be used for intuitive robot motion programming. A method for modifying existing Gaussian path models by demonstration through geometric analysis is also presented.

Nothing shows how out of shape you are as much as cycling in a new city, and the 38% grade of a path near where I'm staying doesn't help.

Astronomers have categorized this object as interstellar
because of the hyperbolic shape of its orbital path.
(It does not follow a closed orbital path about the Sun.)
3I/ATLAS will reach its closest point to the Sun around Oct. 30, 2025,
at a distance of about 1.4 au
(130 million miles, or 210 million kilometers)
— just inside the orbit of Mars.

Comet 3I/ATLAS
NASA missions are working together to track and study this rare, interstellar comet as it passes through our solar system.

GIPPO: A Graph-based, Iterative, Printing-Path Optimization Slicer for Architected Lattices
Pierpaolo Fucile, Maria Kalogeropoulou, Vivek Cherian David, Lorenzo Moroni
https://arxiv.org/abs/2508.21694 …

GIPPO: A Graph-based, Iterative, Printing-Path Optimization Slicer for Architected Lattices
Architected materials of significant geometric complexity offer exceptional mechanical properties that often surpass those of their constituent materials. However, their fabrication through extrusion-based 3D printing remains hindered by suboptimal printing trajectories, which is inherent to commercial slicing software. They produce multiple non-continuous paths that compromise fabrication time, shape fidelity, and structural integrity, particularly for thin-walled lattice structures. To addres…

A device-level compact model for mushroom-type phase change memory
Stephan Menzel, Benedikt Kersting, Rana Walied Ahmad, Abu Sebastian, Ghazi Sarwat Syed
https://arxiv.org/abs/2508.05641

A device-level compact model for mushroom-type phase change memory
In this work we introduce a compact model for mushroom-type phase-change memory devices that incorporates the shape and size of the amorphous mark under different programming conditions, and is applicable to both projecting and non-projecting devices. The model includes analytical equations for the amorphous and crystalline regions and uniquely features a current leakage path that injects current at the outer edge of the electrodes. The results demonstrate that accurately modeling the size and …

Concrete Jungle III 🏗️
水泥丛林 III 🏗️
📷 Pentax MX
🎞️ Ilford HP5 Plus 400, expired 1993
#filmphotography #Photography #blackandwhite

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
Gennie Mansi, Mark Riedl
https://arxiv.org/abs/2507.15981 https://…

Implications of Current Litigation on the Design of AI Systems for Healthcare Delivery
Many calls for explainable AI (XAI) systems in medicine are tied to a desire for AI accountability--accounting for, mitigating, and ultimately preventing harms from AI systems. Because XAI systems provide human-understandable explanations for their output, they are often viewed as a primary path to prevent harms to patients. However, when harm occurs, laws, policies, and regulations also shape AI accountability by impacting how harmed individuals can obtain recourse. Current approaches to XAI e…

Unveiling the magnetic behavior of C$_{\rm3}$N$_{\rm4}$ 2D material by defect creation, defect passivation, and transition metal adsorption
Taoufik Sakhraoui, Franti\v{s}ek Karlick\'y
https://arxiv.org/abs/2509.20156

Unveiling the magnetic behavior of C$_{\rm3}$N$_{\rm4}$ 2D material by defect creation, defect passivation, and transition metal adsorption
Using the density functional tight binding method (DFTB) and the GFN1-xTB (Geometries, Frequencies, and Noncovalent interactions Tight Binding) Hamiltonian, we have investigated the structural, electronic and magnetic properties of vacancy defects, hydrogen and oxygen passivated defects, and Fe adsorption in two-dimensional (2D) graphitic carbon nitride (gt-C$_3$N$_4$) 2D material. The ring shape is the most preferred vacancy evolution path, with significant stability of the semicircle fourfold…