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The rapid development of smart manufacturing and Industry 4.0 has transformed the production and logistics landscape, making autonomous mobile robots (AMRs) a key enabler of efficiency and flexibility ...
So, you want to learn Python, huh? It’s a pretty popular language these days, used for all sorts of things like making websites, crunching data, and even AI. The good news is, you don’t need to spend ...
To address the issues of feature mismatching and map overlap drift in simultaneous localization and mapping (SLAM) within degraded environments characterized by sparse geometric features or severe ...
Abstract: Current purely vision-based SLAM algorithms often suffer from visual data failure in complex environments, such as pose tracking loss and poor robustness, leading to catastrophic tracking ...
ABSTRACT: To address the limitations of traditional multi-camera-IMU state estimation systems—namely, insufficient localization accuracy in complex environments and poor robustness under abnormal IMU ...
Abstract: Simultaneous localization and mapping (SLAM) is a fundamental task in robotics and autonomous systems, providing the basis for navigation and interaction in unknown environments. Unlike ...
Efficient artificial intelligence (AI) hardware is crucial for resource-constrained applications such as healthcare and transportation, where it enhances performance, reduces costs, and supports ...