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🧑‍🤝‍🧑 Modular robots assemble into bridges, shelters and tools for outdoor tasks
#robots

Modular robots assemble into bridges, shelters and tools for outdoor tasks
Modular robots built by Dartmouth researchers are finding their feet outdoors. Engineered to assemble into structures that best suit the task at hand, the robots are pieced together from cube-shaped robotic blocks that combine rigid rods and soft, stretchy strings whose tension can be adjusted to deform the blocks and control their shape.

Robots that Evolve with Us: Modular Co-Design for Personalization, Adaptability, and Sustainability
Lingyun Chen, Qing Xiao, Zitao Zhang, Eli Blevis, Selma \v{S}abanovi\'c
https://arxiv.org/abs/2509.11622

Robots that Evolve with Us: Modular Co-Design for Personalization, Adaptability, and Sustainability
Many current robot designs prioritize efficiency and one-size-fits-all solutions, oftentimes overlooking personalization, adaptability, and sustainability. To explore alternatives, we conducted two co-design workshops with 23 participants, who engaged with a modular robot co-design framework. Using components we provided as building blocks, participants combined, removed, and invented modules to envision how modular robots could accompany them from childhood through adulthood and into older adu…

Noncongruence modular curves as Hurwitz spaces
William Y. Chen
https://arxiv.org/abs/2510.12003 https://arxiv.org/pdf/2510.12003

Noncongruence modular curves as Hurwitz spaces
In this survey article we give an overview of how noncongruence modular curves can be viewed as Hurwitz moduli spaces of covers of elliptic curves at most branched above the origin. We describe some natural questions that arise, and applications of these ideas to the Inverse Galois Problem, Markoff triples and the arithmetic of Fourier coefficients for noncongruence modular forms.

A Modular and Multimodal Generative AI Framework for Urban Building Energy Data: Generating Synthetic Homes
Jackson Eshbaugh, Chetan Tiwari, Jorge Silveyra
https://arxiv.org/abs/2509.09794

A Modular and Multimodal Generative AI Framework for Urban Building Energy Data: Generating Synthetic Homes
Computational models have emerged as powerful tools for energy modeling research, touting scalability and quantitative results. However, these models require a plethora of data, some of which is inaccessible, expensive, or raises privacy concerns. We introduce a modular multimodal framework to produce this data from publicly accessible residential information and images using generative artificial intelligence (AI). Additionally, we provide a pipeline demonstrating this framework, and we evalua…

Establishing assembly-oriented modular product architectures through Design for Assembly enhanced Modular Function Deployment
Fabio Marco Monetti, Adam Lundstr\"om, Colin de Kwant, Magnus Gyllenskepp, Antonio Maffei
https://arxiv.org/abs/2510.11089

Establishing assembly-oriented modular product architectures through Design for Assembly enhanced Modular Function Deployment
Modular product design has become a strategic enabler for companies seeking to balance product variety, operational efficiency, and market responsiveness, making the alignment between modular architecture and manufacturing considerations increasingly critical. Modular Function Deployment (MFD) is a widely adopted method for defining modular product architectures, yet it lacks systematic support for assembly considerations during early concept and system-level development. This limitation increa…

MOUFLON: Multi-group Modularity-based Fairness-aware Community Detection
Georgios Panayiotou, Anand Mathew Muthukulam Simon, Matteo Magnani, Ece Calikus
https://arxiv.org/abs/2510.12348

MOUFLON: Multi-group Modularity-based Fairness-aware Community Detection
In this paper, we propose MOUFLON, a fairness-aware, modularity-based community detection method that allows adjusting the importance of partition quality over fairness outcomes. MOUFLON uses a novel proportional balance fairness metric, providing consistent and comparable fairness scores across multi-group and imbalanced network settings. We evaluate our method under both synthetic and real network datasets, focusing on performance and the trade-off between modularity and fairness in the resul…

The Ethics Engine: A Modular Pipeline for Accessible Psychometric Assessment of Large Language Models
Jake Van Clief, Constantine Kyritsopoulos
https://arxiv.org/abs/2510.11742 …

The Ethics Engine: A Modular Pipeline for Accessible Psychometric Assessment of Large Language Models
As Large Language Models increasingly mediate human communication and decision-making, understanding their value expression becomes critical for research across disciplines. This work presents the Ethics Engine, a modular Python pipeline that transforms psychometric assessment of LLMs from a technically complex endeavor into an accessible research tool. The pipeline demonstrates how thoughtful infrastructure design can expand participation in AI research, enabling investigators across cognitive…

What Is a Modular Monolith And Why You Should Care?
#softwarearchitecture

Refashion: Reconfigurable Garments via Modular Design
Rebecca Lin, Michal Luk\'a\v{c}, Mackenzie Leake
https://arxiv.org/abs/2510.11941 https://arxiv.o…

Refashion: Reconfigurable Garments via Modular Design
While bodies change over time and trends vary, most store-bought clothing comes in fixed sizes and styles and fails to adapt to these changes. Alterations can enable small changes to otherwise static garments, but these changes often require sewing and are non-reversible. We propose a modular approach to garment design that considers resizing, restyling, and reuse earlier in the design process. Our contributions include a compact set of modules and connectors that form the building blocks of mo…

Fundamental Fourier coefficients of Siegel modular forms of higher degrees and levels
Pramath Anamby, Soumya Das
https://arxiv.org/abs/2509.12148 https://a…

Fundamental Fourier coefficients of Siegel modular forms of higher degrees and levels
We prove the following statement about any Siegel modular form $F$ of degree $n$ and arbitrary odd level $N$ on the group $Γ_1^{(n)}(N)$. Let $A(F,T)$ denote the Fourier coefficients of $F$ and write $T=(T(i,j))$. Suppose that $F$ has a non-zero Fourier coefficient $A(F,T_0)$ such that $(T_0(n,n),N)=1$. Then there exist infinitely many odd and square-free (and thus fundamental) integers $m$ such that $m=\mathrm{discriminant}(T)$ and $A(F,T)\neq 0$. In the case of odd degrees, we prove a stro…