Evolutionary optimization for risk-aware heterogeneous multi-agent path planning in uncertain environments

Autor: Fatemeh Rekabi Bana, Tomáš Krajník, Farshad Arvin

Publikováno v: Frontiers in Robotics and AI, Vol 11 (2024)

Cooperative multi-agent systems make it possible to employ miniature robots in order to perform different experiments for data collection in wide open areas to physical interactions with test subjects in confined environments such as a hive. This pap

Externí odkaz: https://doaj.org/article/bb22e4f7665e4a14bafa42820737b232

Towards Bio-Hybrid Energy Harvesting in the Real-World: Pushing the Boundaries of Technologies and Strategies Using Bio-Electrochemical and Bio-Mechanical Processes

Autor: Abanti Shama Afroz, Donato Romano, Francesco Inglese, Cesare Stefanini

Publikováno v: Applied Sciences, Vol 11, Iss 5, p 2220 (2021)

Sustainable, green energy harvesting has gained a considerable amount of attention over the last few decades and within its vast field of resources, bio-energy harvesters have become promising. These bio-energy harvesters appear in a wide variety and

Externí odkaz: https://doaj.org/article/aba614b57b8a4e28a1d1e2292f1d07a7

Extended Abstract: Simulation of Interactions between Beehives

Autor: Taliaronak, Volha, Mellmann, Heinrich, Hafner, Verena V.

The interdisciplinary EU project HIVEOPOLIS aims to develop a new generation of intelligent beehive which might help bees in coping with adverse environmental factors. As a part of the HIVEOPOLIS project, this extended abstract reports on our ongoing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5154dd81c09507754111dbc2f607172a

Tek Mıknatıs aracığılı ile bir Manyetotaktik Bakterinin Adaptif Manevra Kontrolü için Bağımsız Eklem Kontrol Simulasyonları

Autor: Ahmet Fatih Tabak

Publikováno v: Avrupa Bilim ve Teknoloji Dergisi

Mikro robotik sistemlerin invaziv olmayan tıptaki muhtemel uygulamaları son on yıldır literatürde yoğun bir şekilde gösterilmektedir. Yayınlanan çalışmalar büyük oranda bilgisayar kontrollü bir harici elektromanyetik alan içerisinde h

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fb8876ace5572a5e3fd885b6a3fabde
https://doi.org/10.31590/ejosat.818986

Automatic Calibration of Artificial Neural Networks for Zebrafish Collective Behaviours using a Quality Diversity Algorithm

Autor: Nicolas Bredeche, Leo Cazenille, José Halloy

Publikováno v: Biomimetic and Biohybrid Systems 8th International Conference, Living Machines 2019, Nara, Japan, July 9–12, 2019, Proceedings
Living Machines Conference
Living Machines Conference, 2019, Nara, Japan
Biomimetic and Biohybrid Systems ISBN: 9783030247409
Living Machines
HAL

During the last two decades, various models have been proposed for fish collective motion. These models are mainly developed to decipher the biological mechanisms of social interaction between animals. They consider very simple homogeneous unbounded

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f44eb3ec6a9bf0c95121fd9ba870a34
https://hal.sorbonne-universite.fr/hal-03175254