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Recently proposed spintronic devices use magnetic skyrmions as bits of information. The reliable detection of those chiral magnetic objects is an indispensable requirement. Yet, the high mobility of magnetic skyrmions leads to their…

Mesoscale and Nanoscale Physics · Physics 2022-06-01 Tim Matthies , Alexander F. Schäffer , Thore Posske , Roland Wiesendanger , Elena Y. Vedmedenko

Robot swarms offer significant potential for inspecting diverse infrastructure, ranging from bridges to space stations. However, effective inspection requires accurate robot localization, which demands substantial computational resources…

Robotics · Computer Science 2024-11-15 Sneha Ramshanker , Hungtang Ko , Radhika Nagpal

This paper presents a bio-inspired central pattern generator (CPG)-type architecture for learning optimal maneuvering control of periodic locomotory gaits. The architecture is presented here with the aid of a snake robot model problem…

Systems and Control · Electrical Eng. & Systems 2019-10-08 Tixian Wang , Amirhossein Taghvaei , Prashant G. Mehta

Individual Based Models (IBMs) and Agent Based Models (ABMs) have become widely used tools to understand complex biological systems. However, general methods of parameter inference for IBMs are not available. In this paper we show that it…

Quantitative Methods · Quantitative Biology 2010-11-10 Leah R. Johnson , Cheryl J. Briggs

The magnetic skyrmion structure can be formed in the chiral magnets (CMs) with strong Dzyaloshinskii-Moriya interactions. In this work, we propose a way of artificially tailoring the topological details of the skyrmion such as its radial…

Mesoscale and Nanoscale Physics · Physics 2016-10-06 Yin-Yan Zhang , Rui Zhu

Mapping is one of the crucial tasks enabling autonomous navigation of a mobile robot. Conventional mapping methods output a dense geometric map representation, e.g. an occupancy grid, which is not trivial to keep consistent for prolonged…

Robotics · Computer Science 2025-02-10 Kirill Muravyev , Alexander Melekhin , Dmitry Yudin , Konstantin Yakovlev

We present a set of metrics intended to supplement designer intuitions when designing swarm-robotic systems, increase accuracy in extrapolating swarm behavior from algorithmic descriptions and small test experiments, and lead to faster and…

Robotics · Computer Science 2021-10-26 John Harwell , Maria Gini

Swarming systems, such as drone fleets and robotic teams, exhibit complex dynamics driven by both individual behaviors and emergent group-level interactions. Unlike traditional multi-agent domains such as pedestrian crowds or traffic…

Multiagent Systems · Computer Science 2026-03-03 Minah Lee , Saibal Mukhopadhyay

We demonstrate a fast numerical method of theoretical studies of skyrmion lattice or spiral order in magnetic materials with Dzyaloshinsky-Moriya interaction. The method is based on the Fourier expansion of the magnetization combined with a…

Strongly Correlated Electrons · Physics 2019-05-01 Eugene Balkind , Aldo Isidori , Matthias Eschrig

Many optimization algorithms have been developed by drawing inspiration from swarm intelligence (SI). These SI-based algorithms can have some advantages over traditional algorithms. In this paper, we carry out a critical analysis of these…

Optimization and Control · Mathematics 2014-04-01 Xin-She Yang

The skyrmion, which is characterised by a topological integer, is a structure that is topologically stable against local disturbances. The huge potential of skyrmions for use in magnetic storage systems has drawn considerable research…

Quantum Physics · Physics 2021-03-26 Jie Zhu , Sheng Liu , Yong-Sheng Zhang

Formation flight has a vast potential for aerial robot swarms in various applications. However, existing methods lack the capability to achieve fully autonomous large-scale formation flight in dense environments. To bridge the gap, we…

Robotics · Computer Science 2023-08-08 Lun Quan , Longji Yin , Tingrui Zhang , Mingyang Wang , Ruilin Wang , Sheng Zhong , Zhou Xin , Yanjun Cao , Chao Xu , Fei Gao

Inspired by the use of random projections in biological sensing systems, we present a new algorithm for processing data in classification problems. This is based on observations of the human brain and the fruit fly's olfactory system and…

Machine Learning · Statistics 2022-07-28 Nina Dekoninck Bruhin , Bryn Davies

We introduced the Scorpion Hunting Strategy (SHS), a novel population-based, nature-inspired optimisation algorithm. This algorithm draws inspiration from the hunting strategy of scorpions, which identify, locate, and capture their prey…

Neural and Evolutionary Computing · Computer Science 2024-09-04 Abhilash Singh , Seyed Muhammad Hossein Mousavi , Kumar Gaurav

In this paper we describe a novel local algorithm for large statistical swarms using "harmonic attractor dynamics", by means of which a swarm can construct harmonics of the environment. This in turn allows the swarm to approximately…

Robotics · Computer Science 2017-06-14 Subhrajit Bhattacharya

We present a method for the control of robot swarms using two subsets of robots: a larger group of simple, oblivious robots (which we call the workers) that is governed by simple local attraction forces, and a smaller group (the guides)…

Robotics · Computer Science 2023-07-18 Vivek Shankar Varadharajan , Sepand Dyanatkar , Giovanni Beltrame

Swarm robotics is a creative method of organizing multi-robot structures, consisting of many basic robots influenced by communal insects. The greatest astonishing attribute of swarm robots is their capacity to function together to…

Robotics · Computer Science 2023-02-14 B. Udugama

The problem of robust extraction of visual odometry from a sequence of images obtained by an eye in hand camera configuration is addressed. A novel approach toward solving planar template based tracking is proposed which performs a…

Computer Vision and Pattern Recognition · Computer Science 2014-01-21 Rafid Siddiqui , Siamak Khatibi

Morphological computing, the use of the physical design of a robot to ease the realization of a given task has been proven to be a relevant concept in the context of swarm robotics. Here we demonstrate both experimentally and numerically,…

Soft Condensed Matter · Physics 2026-01-13 Jeremy Fersula , Nicolas Bredeche , Olivier Dauchot

The non-invasive spatiotemporal control of cellular functions, organization of tissues, and even the behavior of small animals has become paramount for advanced therapies. As magnetic fields do not interact with biological matter, their…

Biological Physics · Physics 2024-01-23 Peter Blümler , Fabian Raudzus , Friederike Schmid