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Self-assembly in the laboratory can now yield `information-rich' nanostructures in which each component is of a distinct type and has a defined spatial position. Ensuring the thermodynamic stability of such structures requires…

Biological Physics · Physics 2016-03-22 Stephen Whitelam

The problem of decomposing non-manifold object has already been studied in solid modeling. However, the few proposed solutions are limited to the problem of decomposing solids described through their boundaries. In this thesis we study the…

Graphics · Computer Science 2019-04-03 Franco Morando

To autonomously navigate and plan interactions in real-world environments, robots require the ability to robustly perceive and map complex, unstructured surrounding scenes. Besides building an internal representation of the observed scene…

We prove that by successively combining subassemblies, we can achieve sublinear construction times for "staged" assembly of micro-scale objects from a large number of tiny particles, for vast classes of shapes; this is a significant advance…

Computational Geometry · Computer Science 2018-07-05 Arne Schmidt , Sheryl Manzoor , Li Huang , Aaron T. Becker , Sándor P. Fekete

Detecting unseen anomalies in unstructured environments presents a critical challenge for industrial and agricultural applications such as material recycling and weeding. Existing perception systems frequently fail to satisfy the strict…

Computer Vision and Pattern Recognition · Computer Science 2026-04-14 Melanie Neubauer , Elmar Rueckert , Christian Rauch

Information gathered along a path is inherently submodular; the incremental amount of information gained along a path decreases due to redundant observations. In addition to submodularity, the incremental amount of information gained is a…

Robotics · Computer Science 2020-10-28 William Clark , Maani Ghaffari

Inspired by traditional handmade crafts, where a person improvises assemblies based on the available objects, we formally introduce the Craft Assembly Task. It is a robotic assembly task that involves building an accurate representation of…

Computer Vision and Pattern Recognition · Computer Science 2024-08-19 Vitor Hideyo Isume , Takuya Kiyokawa , Natsuki Yamanobe , Yukiyasu Domae , Weiwei Wan , Kensuke Harada

The motivation of this paper is to develop a smart system using multi-modal vision for next-generation mechanical assembly. It includes two phases where in the first phase human beings teach the assembly structure to a robot and in the…

Robotics · Computer Science 2016-01-27 Weiwei Wan , Feng Lu , Zepei Wu , Kensuke Harada

Finding observing path creating its observer is important problem in physics and information science. In observing processes, each observation is act changing the observing process that generates interactive observation. Each interaction is…

Adaptation and Self-Organizing Systems · Physics 2020-07-09 Vladimir S. Lerner

We define and investigate the properties of the jaggedness of path integral trajectories. The new quantity is shown to be scale invariant and to satisfy a self-averaging property. Jaggedness allows for a classification of path integral…

Statistical Mechanics · Physics 2011-08-08 Aleksandar Bogojevic , Antun Balaz , Aleksandar Belic

Many disciplines of science and engineering deal with problems related to compositions, ranging from chemical compositions in materials science to portfolio compositions in economics. They exist in non-Euclidean simplex spaces, causing many…

Materials Science · Physics 2024-11-06 Adam M. Krajewski , Allison M. Beese , Wesley F. Reinhart , Zi-Kui Liu

This paper discusses a methodology for determining a functional representation of a random process from a collection of scattered pointwise samples. The present work specifically focuses onto random quantities lying in a high dimensional…

Numerical Analysis · Mathematics 2014-01-03 Lionel Mathelin

In the abstract Tile Assembly Model, self-assembling systems consisting of tiles of different colors can form structures on which colored patterns are ``painted.'' We explore the complexity, in terms of the numbers of unique tile types…

Emerging Technologies · Computer Science 2024-03-12 Phillip Drake , Matthew J. Patitz , Scott M. Summers , Tyler Tracy

We demonstrate that frequently appearing objects can be discovered by training randomly sampled patches from a small number of images (100 to 200) by self-supervision. Key to this approach is the pattern space, a latent space of patterns…

Computer Vision and Pattern Recognition · Computer Science 2021-06-17 Hankyu Moon , Heng Hao , Sima Didari , Jae Oh Woo , Patrick Bangert

The choice of structural resolution is a fundamental aspect of protein modelling, determining the balance between descriptive power and interpretability. Although atomistic simulations provide maximal detail, much of this information is…

Biomolecules · Quantitative Biology 2025-10-23 Margherita Mele , Raffaele Fiorentini , Thomas Tarenzi , Giovanni Mattiotti , Raffaello Potestio

In contrast to traditional toy tracks, a patented system allows the creation of a large number of tracks with a minimal number of pieces, and whose loops always close properly. These circuits strongly resemble traditional self-avoiding…

Combinatorics · Mathematics 2016-03-30 Jérôme Bastien

Today's autonomous vehicles rely extensively on high-definition 3D maps to navigate the environment. While this approach works well when these maps are completely up-to-date, safe autonomous vehicles must be able to corroborate the map's…

Computer Vision and Pattern Recognition · Computer Science 2016-12-09 Ari Seff , Jianxiong Xiao

Reconstructing compositional 3D representations of scenes, where each object is represented with its own 3D model, is a highly desirable capability in robotics and augmented reality. However, most existing methods rely heavily on strong…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Vincent van der Brugge , Marc Pollefeys , Joshua B. Tenenbaum , Ayush Tewari , Krishna Murthy Jatavallabhula

The high-throughput screening of periodic inorganic solids using machine learning methods requires atomic positions to encode structural and compositional details into appropriate material descriptors. These atomic positions are not…

Materials Science · Physics 2018-12-26 Ankit Jain , Thomas Bligaard

The rise of globalisation has led to a sharp increase in international trade, with high volumes of containers, goods and items moving across the world. Unfortunately, these trade pathways also facilitate the movement of unwanted pests,…

Applications · Statistics 2024-11-19 Thao P. Le , Thomas K. Waring , Howard Bondell , Andrew P. Robinson , Christopher M. Baker