Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles
Summary
Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles is a scholarly article[1].
Key Facts
Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles. Retrieved May 24, 2026, from https://4ort.xyz/entity/path-planning-for-mobile-robots-using-bacterial-potential-field-for-avoiding-static-and-dynamic-obstacles
MLA“Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/path-planning-for-mobile-robots-using-bacterial-potential-field-for-avoiding-static-and-dynamic-obstacles.
BibTeX@misc{4ortxyz_path-planning-for-mobile-robots-using-bacterial-potential-field-for-avoiding-static-and-dynamic-obstacles_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles}}, year = {2026}, url = {https://4ort.xyz/entity/path-planning-for-mobile-robots-using-bacterial-potential-field-for-avoiding-static-and-dynamic-obstacles}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Path planning for mobile robots using Bacterial Potential Field for avoiding static and dynamic obstacles — https://4ort.xyz/entity/path-planning-for-mobile-robots-using-bacterial-potential-field-for-avoiding-static-and-dynamic-obstacles (retrieved 2026-05-24)
