Introduction to necrobotics

Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 1 - 59

Опубликована: Янв. 1, 2025

Язык: Английский

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Origami-Based Flexible Robotic Grippers via Hard-Soft Coupled Multimaterial 3D Printing

Soft Robotics, Год журнала: 2025, Номер unknown

Опубликована: Март 11, 2025

This study explores the design and performance of origami robotic grippers fabricated through hard-soft coupled multimaterial three-dimensional (3D) printing. We evaluate impact parameters on kinematic behavior mechanical functionality gripper. A model is employed to characterize reachable workspace motion capabilities, revealing that variations in geometric significantly influence gripper's performance. Furthermore, we explore properties gripper by manipulating such as soft hinge thickness crease design, establishing a comprehensive relationship between response. Experimental evaluations demonstrate interplay bending angle, force-displacement characteristics, stiffness grippers. research contributes optimization origami-inspired structures, highlighting potential 3D printing techniques developing flexible, adaptive, efficient applications.

Язык: Английский

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Basal Xenobot transcriptomics reveals changes and novel control modality in cells freed from organismal influence

Communications Biology, Год журнала: 2025, Номер 8(1)

Опубликована: Апрель 22, 2025

Abstract Would transcriptomes change if cell collectives acquired a novel morphogenetic and behavioral phenotype in the absence of genomic editing, transgenes, heterologous materials, or drugs? We investigate effects morphology nascent emergent life history on gene expression basal (no engineering, no sculpting) form Xenobots —autonomously motile constructs derived from Xenopus embryo ectodermal explants. To differences between cells context an with those that have been freed instructive signals lived experiences, we compare these age-matched embryos. Basal show significantly larger inter-individual variability than embryos, suggesting increased exploration transcriptional space. identify at least 537 (non-epidermal) transcripts uniquely upregulated Xenobots. Phylostratigraphy shows majority transcriptomic shifts towards evolutionarily ancient transcripts. Pathway analyses indicate categories motility machinery, multicellularity, stress immune response, metabolism, thanatotranscriptome, sensory perception sound mechanical stimuli. experimentally confirm respond to acoustic stimuli via changes behavior. Together, data may implications for evolution, biomedicine, synthetic morphoengineering.

Язык: Английский

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Bioinspired Soft Machines: Engineering Nature’s Grace into Future Innovations

Journal of Functional Biomaterials, Год журнала: 2025, Номер 16(5), С. 158 - 158

Опубликована: Апрель 28, 2025

This article explores the transformative advances in soft machines, where biology, materials science, and engineering have converged. We discuss remarkable adaptability versatility of whose designs draw inspiration from nature’s elegant solutions. From intricate movements octopus tentacles to resilience an elephant’s trunk, nature provides a wealth for designing robots capable navigating complex environments with grace efficiency. Central this advancement is ongoing research into bioinspired materials, which serve as building blocks creating machines lifelike behaviors adaptive capabilities. By fostering collaboration innovation, we can unlock new possibilities shaping future seamlessly integrate interact natural world, offering solutions humanity’s most pressing challenges.

Язык: Английский

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Complexity, Artificial Life, and Artificial Intelligence

Опубликована: Апрель 28, 2024

The scientific fields of complexity, artificial life (ALife), and intelligence (A.I.) share several commonalities: historic, conceptual, methodological, philosophical. It was possible to develop them only because information technology, while their origins can be traced back cybernetics. In this perspective, I'll revise the expectations limitations these fields, some which have roots in limits formal systems. I will use interactions, self-organization, emergence, balance compare different aspects ALife, A.I. paper poses more questions than answers, but hopefully it useful align efforts towards overcoming --- or accepting limits.

Язык: Английский

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Emergent Information Processing: Observations, Experiments, and Future Directions

Software, Год журнала: 2024, Номер 3(1), С. 81 - 106

Опубликована: Март 5, 2024

Science is currently becoming aware of the challenges in understanding very root mechanisms massively parallel computations that are observed literally all scientific disciplines, ranging from cosmology to physics, chemistry, biochemistry, and biology. This leads us main motivation simultaneously central thesis this review: “Can we design artificial, parallel, self-organized, emergent, error-resilient computational environments?” The solely studied on cellular automata. Initially, an overview basic building blocks enabling reach end goal provided. Important information dealing with topic reviewed along highly expressive animations generated by open-source, Python, automata software GoL-N24. A large number simulations examples counter-examples, finalized a list future directions, giving hints partial answers thesis. Together, these pose crucial question whether there something deeper beyond Turing machine theoretical description computing. perspective, including applications robotics biology research, discussed light known information.

Язык: Английский

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Complexity, Artificial Life, and Artificial Intelligence

Опубликована: Июль 16, 2024

The scientific fields of complexity, artificial life (ALife), and intelligence (A.I.) share commonalities: historic, conceptual, methodological, philosophical. Although their origins trace back to the 1940s birth cybernetics, they were only able properly develop as modern information technology became available. In this perspective, I offer a personal (and thus biased) account expectations limitations these fields, some which have roots in limits formal systems. will use interactions, self-organization, emergence, balance compare different aspects ALife, A.I. Even when trajectory paper is influenced by my experience, general questions posed (which outweigh answers) hopefully be useful align efforts toward overcoming --- or accepting limits.

Язык: Английский

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Minds in movement: embodied cognition in the age of artificial intelligence

Philosophical Transactions of the Royal Society B Biological Sciences, Год журнала: 2024, Номер 379(1911)

Опубликована: Авг. 19, 2024

This theme issue brings together researchers from diverse fields to assess the current status and future prospects of embodied cognition in age generative artificial intelligence. In this introduction, we first clarify our view embodiment as a potentially unifying concept study cognition, characterizing perspective that questions mind–body dualism recognizes profound continuity between sensorimotor action world more abstract forms cognition. We then consider how is developed elaborated by other contributions issue, identifying following two key themes: (i) role language its entanglement with body (ii) bodily mechanisms interpersonal perception alignment across domains social affiliation, teaching learning. On balance, approaches culture evolution remain promising, but will require greater integration disciplines fully realize their potential. conclude suggesting need be ready able meet various methodological, theoretical practical challenges entail open encountering markedly different viewpoints about why matters. article part ‘Minds movement: intelligence’.

Язык: Английский

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Classical sorting algorithms as a model of morphogenesis: Self-sorting arrays reveal unexpected competencies in a minimal model of basal intelligence

Adaptive Behavior, Год журнала: 2024, Номер 33(1), С. 25 - 54

Опубликована: Авг. 19, 2024

The Diverse Intelligence research seeks to understand commonalities in behavioral competencies across a wide range of implementations. Especially interesting are simple systems that provide unexpected examples memory, decision-making, or problem-solving substrates at first glance do not appear be complex enough implement such capabilities. We seek develop tools determine minimal requirements for capabilities, and learn recognize predict basal forms intelligence unconventional substrates. Here, we apply novel analyses the behavior classical sorting algorithms—short pieces code studied many decades. To study these algorithms as model biological morphogenesis its competencies, break two formerly ubiquitous assumptions: top-down control (instead, each element within an array numbers can exert agency policies from bottom up), fully reliable hardware allowing elements “damaged” fail execute algorithm). quantitatively characterize activity traversal problem space, showing arrays autonomous sort themselves more reliably robustly than traditional implementations presence errors. Moreover, find ability temporarily reduce progress order navigate around defect, clustering among chimeric consisting different algorithms. discovery emergent capacities simple, familiar contributes new perspective how emerge without being explicitly encoded their underlying mechanics.

Язык: Английский

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Xenobot Transcriptomics: Gene Expression Changes in wild-type cells forming a synthetic biobot

Опубликована: Авг. 30, 2024

The standard paradigm of developmental and synthetic biology focuses on gene expression driving changes in morphology. Here, we investigated the reverse relationship: would transcriptomes change if cell collectives acquired a novel morphogenetic behavioral phenotype absence genomic editing, transgenes, heterologous materials, or drugs? We effects morphology nascent emergent life history basal (no engineering, no sculpting) form Xenobots – autonomously motile constructs derived from Xenopus embryo ectodermal explants. compared these with age-matched embryos. These showed significantly larger inter-individual variability than embryos, suggesting increased exploration transcriptional space. identified at least 537 (non-epidermal) transcripts uniquely upregulated Xenobots. Pathway analyses indicated shifts categories motility machinery, pattern formation multicellularity, stress immune response, metabolism, sensory perception sound mechanical stimuli. Phylostratigraphic analysis that majority transcriptomic were towards evolutionarily ancient systems. Lastly, found enrichment thanatotranscriptomic genes, shedding light distinction between death an organism its cells. data relationship genotype may have implications for evolution, biomedicine, morphoengineering.

Язык: Английский

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