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Many microorganisms swim by performing larger non-reciprocal shape deformations that are initiated locally by molecular motors. However, it remains unclear how decentralized shape control determines the movement of the entire organism.…

Biological Physics · Physics 2025-05-14 Benedikt Hartl , Michael Levin , Andreas Zöttl

Biomimetic intelligence and robotics are transforming field ecology by enabling lifelike robotic surrogates that interact naturally with animals under real world conditions. Studying avian behavior in the wild remains challenging due to the…

Robotics · Computer Science 2025-10-07 Lyes Saad Saoud , Irfan Hussain

Active nematics, formed from a liquid crystalline suspension of active force dipoles, are a paradigmatic active matter system whose study provides insights into how chemical driving produces the cellular mechanical forces essential for…

Soft Condensed Matter · Physics 2024-11-15 Carlos Floyd , Aaron R. Dinner , Suriyanarayanan Vaikuntanathan

Designing robotic systems that can change their physical form factor as well as their compliance to adapt to environmental constraints remains a major conceptual and technical challenge. To address this, we introduce the Granulobot, a…

Robotics · Computer Science 2023-08-30 Baudouin Saintyves , Matthew Spenko , Heinrich M. Jaeger

Coupling between flows and material properties imbues rheological matter with its wide-ranging applicability, hence the excitement for harnessing the rheology of active fluids for which internal structure and continuous energy injection…

Enabling robots to autonomously perform hybrid motions in diverse environments can be beneficial for long-horizon tasks such as material handling, household chores, and work assistance. This requires extensive exploitation of intrinsic…

Robotics · Computer Science 2024-08-19 Jin Wang , Rui Dai , Weijie Wang , Luca Rossini , Francesco Ruscelli , Nikos Tsagarakis

Neuromorphic engineering makes use of mixed-signal analog and digital circuits to directly emulate the computational principles of biological brains. Such electronic systems offer a high degree of adaptability, robustness, and energy…

Systems and Control · Electrical Eng. & Systems 2026-04-09 Loris Mendolia , Chenxi Wen , Elisabetta Chicca , Giacomo Indiveri , Rodolphe Sepulchre , Jean-Michel Redouté , Alessio Franci

We have developed several distinct model systems of microtubule-based 3D active isotropic fluids and have compared their dynamical and structural properties. The non-equilibrium dynamics of these fluids is powered by three different types…

Advanced machine learning algorithms require platforms that are extremely robust and equipped with rich sensory feedback to handle extensive trial-and-error learning without relying on strong inductive biases. Traditional robotic designs,…

Self-assembly plays an essential role in many natural processes, involving the formation and evolution of living or non-living structures, and shows potential applications in many emerging domains. In existing research and practice, there…

Multiagent Systems · Computer Science 2021-02-24 Wenjie Chu , Wei Zhang , Haiyan Zhao , Zhi Jin , Hong Mei

Planning locomotion trajectories for legged microrobots is challenging because of their complex morphology, high frequency passive dynamics, and discontinuous contact interactions with their environment. Consequently, such research is often…

Robotic mobility in microgravity is necessary to expand human utilization and exploration of outer space. Bio-inspired multi-legged robots are a possible solution for safe and precise locomotion. However, a dynamic motion of a robot in…

Robotics · Computer Science 2023-01-20 Warley F. R. Ribeiro , Kentaro Uno , Masazumi Imai , Koki Murase , Kazuya Yoshida

Biological systems, such as the octopus, exhibit masterful cross-scale manipulation by adaptively reconfiguring their entire form, a capability that remains elusive in robotics. Conventional soft grippers, while compliant, are mostly…

Robotics · Computer Science 2025-11-03 Dong Heon Han , Xiaohao Xu , Yuxi Chen , Yusheng Zhou , Xinqi Zhang , Jiaqi Wang , Daniel Bruder , Xiaonan Huang

Dense active matter, from bacterial suspensions and microtubule bundles driven by motor proteins to cellular monolayers and synthetic Janus particles, is characterised by mesoscale turbulence, the emergence of chaotic flow structures. By…

Soft Condensed Matter · Physics 2016-06-22 Sumesh P. Thampi , Amin Doostmohammadi , Tyler N. Shendruk , Ramin Golestanian , Julia M. Yeomans

Bio-hybrid systems---close couplings of natural organisms with technology---are high potential and still underexplored. In existing work, robots have mostly influenced group behaviors of animals. We explore the possibilities of mixing…

Neural and Evolutionary Computing · Computer Science 2018-04-20 Mostafa Wahby , Mary Katherine Heinrich , Daniel Nicolas Hofstadler , Payam Zahadat , Sebastian Risi , Phil Ayres , Thomas Schmickl , Heiko Hamann

Living things enact control of non-equilibrium, dynamical structures through complex biochemical networks, accomplishing spatiotemporally-orchestrated physiological tasks such as cell division, motility, and embryogenesis. While the exact…

Under-actuated compliant robotic systems offer a promising approach to mitigating actuation and control challenges by harnessing pre-designed, embodied dynamic behaviors. This paper presents Flix-Walker, a novel, untethered,…

Robotics · Computer Science 2025-07-04 Yuhao Jiang , Fuchen Chen , Jamie Paik , Daniel M. Aukes

The ability to propel against flows, i.e., to perform positive rheotaxis, can provide exciting opportunities for applications in targeted therapeutics and non-invasive surgery. To date, no biocompatible technologies exist for navigating…

Soft Condensed Matter · Physics 2021-03-30 Daniel Ahmed , David Hauri , Alexander Sukhov , Dubon Rodrigue , Maranta Gian , Jens Harting , Bradley Nelson

Soft robots offer adaptability and safe interaction with complex environments. Rapid prototyping kits that allow soft robots to be assembled easily will allow different geometries to be explored quickly to suit different environments or to…

Robotics · Computer Science 2024-10-28 Luyang Zhao , Yitao Jiang , Chun-Yi She , Muhao Chen , Devin Balkcom

We propose a modular architecture for neuromorphic closed-loop control based on bistable relaxation oscillator modules consisting of three spiking neurons each. Like its biological prototypes, this basic component is robust to parameter…

Neural and Evolutionary Computing · Computer Science 2021-01-27 Alex Spaeth , Maryam Tebyani , David Haussler , Mircea Teodorescu