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001-es BibID:	BIBFORM121654
Első szerző:	Katona Kornél (mérnök)
Cím:	Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot / Kornél Katona, Husam A. Neamah, Péter Korondi
Dátum:	2024
ISSN:	1424-8220
Megjegyzések:	Path planning creates the shortest path from the source to the destination based on sensory information obtained from the environment. Within path planning, obstacle avoidance is a crucial task in robotics, as the autonomous operation of robots needs to reach their destination without collisions. Obstacle avoidance algorithms play a key role in robotics and autonomous vehicles. These algorithms enable robots to navigate their environment efficiently, minimizing the risk of collisions and safely avoiding obstacles. This article provides an overview of key obstacle avoidance algorithms, including classic techniques such as the Bug algorithm and Dijkstra`s algorithm, and newer developments like genetic algorithms and approaches based on neural networks. It analyzes in detail the advantages, limitations, and application areas of these algorithms and highlights current research directions in obstacle avoidance robotics. This article aims to provide comprehensive insight into the current state and prospects of obstacle avoidance algorithms in robotics applications. It also mentions the use of predictive methods and deep learning strategies.
Tárgyszavak:	Műszaki tudományok Informatikai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk obstacle avoidance global path planning local path planning autonomous vehicles navigation algorithms
Megjelenés:	Sensors. - 24 : 11 (2024), p. 1-47. -
További szerzők:	Neamah, Husam A. (1990-) (mérnök) Korondi Péter (1960-) (villamosmérnök)
Pályázati támogatás:	OTKA K143595 OTKA
Internet cím:	DOI Intézményi repozitóriumban (DEA) tárolt változat
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