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We study the power of uncontrolled random molecular movement in the nubot model of self-assembly. The nubot model is an asynchronous nondeterministic cellular automaton augmented with rigid-body movement rules (push/pull, deterministically…

Data Structures and Algorithms · Computer Science 2014-09-18 Ho-Lin Chen , David Doty , Dhiraj Holden , Chris Thachuk , Damien Woods , Chun-Tao Yang

Magnetic rolling microrobots enable gentle manipulation in confined microfluidic environments, yet autonomy for contact-rich behaviors such as cell pushing and multi-target assembly remains difficult to develop and evaluate reproducibly. We…

Robotics · Computer Science 2026-03-02 Yanda Yang , Sambeeta Das

Intelligent systems are increasingly part of our everyday lives and have been integrated seamlessly to the point where it is difficult to imagine a world without them. Physical manifestations of those systems on the other hand, in the form…

Walking animals, like stick insects, cockroaches or ants, demonstrate a fascinating range of locomotive abilities and complex behaviors. The locomotive behaviors can consist of a variety of walking patterns along with adaptation that allow…

Neural and Evolutionary Computing · Computer Science 2016-08-08 Sakyasingha Dasgupta , Dennis Goldschmidt , Florentin Wörgötter , Poramate Manoonpong

Our goal in this work is to expand the theory and practice of robot locomotion by addressing critical challenges associated with the robotic biomimicry of bat aerial locomotion. Bats are known for their pronounced, fast wing articulations,…

Robotics · Computer Science 2021-04-01 Eric Sihite , Atefe Darabi , Pravin Dangol , Andrew Lessieur , Alireza Ramezani

Incorporating cells within active biomaterial scaffolds is a promising strategy to develop forefront materials that can autonomously sense, respond, and alter the scaffold in response to environmental cues or internal cell circuitry. Using…

The concept of creating all-mechanical soft microrobotic systems has great potential to address outstanding challenges in biomedical applications, and introduce more sustainable and multifunctional products. To this end, magnetic fields and…

Applied Physics · Physics 2022-05-26 Murat Kaynak , Amit Dolev , Mahmut Selman Sakar

Flagellated microorganisms can swim at low Reynolds numbers and adapt to changes in their environment. Specifically, the flagella can switch their shapes or modes through gene expression. In the past decade, efforts have been made to…

Robotics · Computer Science 2024-01-02 Liyuan Tan , Yang Yang , Li Fang , David J. Cappelleri

Equilibrium self-assembly and conventional materials processing techniques fall far short of mimicking dynamic self-actuating processes that are commonplace throughout biology. To bridge the gap between living and synthetic matter, we study…

Safe human-robot interactions require robots to be able to learn how to behave appropriately in \sout{humans' world} \rev{spaces populated by people} and thus to cope with the challenges posed by our dynamic and unstructured environment,…

Active systems across scales, ranging from molecular machines to human crowds, are usually modeled as assemblies of self-propelled particles driven by internally generated forces. However, these models often assume memoryless dynamics and…

Statistical Mechanics · Physics 2025-12-10 Marc Besse , Raphaël Voituriez

Building autonomous mobile robots (AMRs) with optimized efficiency and adaptive capabilities-able to respond to changing task demands and dynamic environments-is a strongly desired goal for advancing construction robotics. Such robots can…

Robotics · Computer Science 2025-09-16 Xiaoshan Zhou , Carol C. Menassa , Vineet R. Kamat

The behavior of living systems is based on the experience they gained through their interactions with the environment [1]. This experience is stored in the complex biochemical networks of cells and organisms to provide a relationship…

Soft Condensed Matter · Physics 2022-02-14 Santiago Muiños-Landin , Keyan Ghazi-Zahedi , Frank Cichos

Building autonomous -- i.e., choosing goals based on one's needs -- and adaptive -- i.e., surviving in ever-changing environments -- agents has been a holy grail of artificial intelligence (AI). A living organism is a prime example of such…

Artificial Intelligence · Computer Science 2025-03-18 Sungwoo Lee , Younghyun Oh , Hyunhoe An , Hyebhin Yoon , Karl J. Friston , Seok Jun Hong , Choong-Wan Woo

Multiple organs in a living system respond to environmental changes, and the signals from the organs regulate the physiological environment. Inspired by this biological feedback, we propose a simple autonomous system of active rotators to…

Statistical Mechanics · Physics 2020-03-02 Taegeun Song , Heetae Kim , Seung-Woo Son , Junghyo Jo

Living cells dynamically modulate the local morphologies of their actin cytoskeletons to perform biological functions, including force transduction, intracellular transport, and cell division. A major challenge is to understand how diverse…

Biological Physics · Physics 2018-12-07 Simon L. Freedman , Glen M. Hocky , Shiladitya Banerjee , Aaron R. Dinner

Microspine grippers are small spines commonly found on insect legs that reinforce surface interaction by engaging with asperities to increase shear force and traction. An array of such microspines, when integrated into the limbs or…

Robotics · Computer Science 2025-05-01 Lauren Ervin , Harish Bezawada , Vishesh Vikas

With inspiration from arthropods' exoskeletons, we designed a simple, easily manufactured, semi-rigid structure with flexible joints that can passively damp impact energy. This exoskeleton fuses the protective shell to the main robot…

Robotics · Computer Science 2021-07-26 Ricardo de Azambuja , Hassan Fouad , Giovanni Beltrame

These lecture notes are designed to provide a brief introduction into the phenomenology of active matter and to present some of the analytical tools used to rationalize the emergent behavior of active systems. Such systems are made of…

Soft Condensed Matter · Physics 2018-07-02 Étienne Fodor , M. Cristina Marchetti