Results 51 to 60 of about 167,998 (166)

Meeting sustainable development goals via robotics and autonomous systems. [PDF]

open access: yesNat Commun, 2022
Guenat S   +50 more
europepmc   +1 more source

An uncertainty-aware domain adaptive semantic segmentation framework

open access: yesAutonomous Intelligent Systems
Semantic segmentation is significant to realize the scene understanding of autonomous driving. Due to the lack of annotated real-world data, the technology of domain adaptation is applied so that the model is trained on the synthetic data and inferred on
Huilin Yin   +3 more
doaj   +1 more source

H-ViT: hardware-friendly post-training quantization for efficient vision transformer inference

open access: yesAutonomous Intelligent Systems
Vision Transformers (ViTs) have achieved state-of-the-art performance on various computer vision tasks. However these models are memory-consuming and computation-intensive, making their deployment and efficient inference on edge devices challenging ...
Jing Liu   +4 more
doaj   +1 more source

Sparse Online Gaussian Process Adaptive Control of Unmanned Aerial Vehicle with Slung Payload

open access: yesDrones
In the past decade, Unmanned Aerial Vehicles (UAVs) have garnered significant attention across diverse applications, including surveillance, cargo shipping, and agricultural spraying.
Muhammed Rasit Kartal   +2 more
doaj   +1 more source

Autonome Systeme [PDF]

open access: yesInformatik-Spektrum, 2017
Werner Damm, Ralf Kalmar
openaire   +2 more sources

Association rule mining for aircraft assembly process information based on fine-tuned LLM

open access: yesAutonomous Intelligent Systems
The aircraft final assembly is a complex system, encompassing various aspects and multidimensional production factors. These numerous factors are interconnected, significantly impacting the efficiency of the final assembly process.
Jiaji Shen   +4 more
doaj   +1 more source

Partner familiarity enhances performance in a manual precision task

open access: yesScientific Reports
Understanding human collaborative behavior in tasks with physical interaction is essential for advancing physical human-robot collaboration. Investigating how individuals learn to collaborate over repeated interactions can provide valuable insights for ...
Johannes Heidersberger   +6 more
doaj   +1 more source

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