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Structured Task Solving via Modular Embodied Intelligence: A Case Study on Rubik's Cube
Chongshan Fan, Shenghai Yuan
https://arxiv.org/abs/2507.05607 h…

Structured Task Solving via Modular Embodied Intelligence: A Case Study on Rubik's Cube
This paper presents Auto-RubikAI, a modular autonomous planning framework that integrates a symbolic Knowledge Base (KB), a vision-language model (VLM), and a large language model (LLM) to solve structured manipulation tasks exemplified by Rubik's Cube restoration. Unlike traditional robot systems based on predefined scripts, or modern approaches relying on pretrained networks and large-scale demonstration data, Auto-RubikAI enables interpretable, multi-step task execution with minimal data req…

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
Samuel G. Carter, Infiter Tathfif, Charity Burgess, Brenda VanMil, Suryakanti Debata, Pratibha Dev
https://arxiv.org/abs/2506.17478

The influence of nitrogen doping and annealing on the silicon vacancy in 4H-SiC
The silicon vacancy ($V_{Si}$) in 4H-SiC at its cubic site (V2-center) has shown significant promise for quantum technologies, due to coherent spin states, the mature material system, and stable optical emission. In these SiC-based applications, doping plays a crucial role. It can be used to control the charge state of $V_{Si}$ and formation of different types of defects. Despite its importance, there has been little research on the effects of doping. In this work, we perform a study of the eff…