{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T03:15:30Z","timestamp":1778210130235,"version":"3.51.4"},"reference-count":29,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,3,3]],"date-time":"2023-03-03T00:00:00Z","timestamp":1677801600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurorobot."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>With the development of artificial intelligence and brain science, brain-inspired navigation and path planning has attracted widespread attention.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>In this paper, we present a place cell based path planning algorithm that utilizes spiking neural network (SNN) to create efficient routes for drones. First, place cells are characterized by the leaky integrate-and-fire (LIF) neuron model. Then, the connection weights between neurons are trained by spike-timing-dependent plasticity (STDP) learning rules. Afterwards, a synaptic vector field is created to avoid obstacles and to find the shortest path.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Finally, simulation experiments both in a Python simulation environment and in an Unreal Engine environment are conducted to evaluate the validity of the algorithms.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>Experiment results demonstrate the validity, its robustness and the computational speed of the proposed model.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fnbot.2023.1111861","type":"journal-article","created":{"date-parts":[[2023,3,3]],"date-time":"2023-03-03T05:00:33Z","timestamp":1677819633000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":16,"title":["Brain inspired path planning algorithms for drones"],"prefix":"10.3389","volume":"17","author":[{"given":"Yixun","family":"Chao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philipp","family":"Augenstein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Arne","family":"Roennau","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruediger","family":"Dillmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhi","family":"Xiong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1965","published-online":{"date-parts":[[2023,3,3]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"270","DOI":"10.1016\/j.comcom.2019.10.014","article-title":"Path planning techniques for unmanned aerial vehicles: a review, solutions, and challenges","volume":"149","author":"Aggarwal","year":"2020","journal-title":"Comput. 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