Results 51 to 60 of about 167,998 (166)
Meeting sustainable development goals via robotics and autonomous systems. [PDF]
Guenat S +50 more
europepmc +1 more source
An uncertainty-aware domain adaptive semantic segmentation framework
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
Analysis of the vulnerability estimation and neighbor value prediction in autonomous systems. [PDF]
Rahmatov N, Saeed F, Paul A.
europepmc +1 more source
H-ViT: hardware-friendly post-training quantization for efficient vision transformer inference
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
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
Pedestrian Trajectory Prediction for Real-Time Autonomous Systems via Context-Augmented Transformer Networks. [PDF]
Saleh K.
europepmc +1 more source
Association rule mining for aircraft assembly process information based on fine-tuned LLM
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
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

