Abstract: Path planning for mobile robots in industrial environments is frequently compromised by pseudo-static obstacles with uncertain positional drift and strict kinematic constraints. Traditional ...

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Academic success at university could depend on the changing interaction between students' habits over time rather than fixed traits such as intelligence or total study hours. This conclusion is ...

Abstract: This paper addresses the issues of slow speed, safety concerns, and non-smooth paths in traditional A* algorithm-based path planning for Autonomous Guided Vehicle (AGV) in complex ...