Zobrazeno 1 - 10
of 51 219
pro vyhledávání: '"Mercado A"'
Autor:
Lambeta, Mike, Wu, Tingfan, Sengul, Ali, Most, Victoria Rose, Black, Nolan, Sawyer, Kevin, Mercado, Romeo, Qi, Haozhi, Sohn, Alexander, Taylor, Byron, Tydingco, Norb, Kammerer, Gregg, Stroud, Dave, Khatha, Jake, Jenkins, Kurt, Most, Kyle, Stein, Neal, Chavira, Ricardo, Craven-Bartle, Thomas, Sanchez, Eric, Ding, Yitian, Malik, Jitendra, Calandra, Roberto
Touch is a crucial sensing modality that provides rich information about object properties and interactions with the physical environment. Humans and robots both benefit from using touch to perceive and interact with the surrounding environment (Joha
Externí odkaz:
http://arxiv.org/abs/2411.02479
Autor:
Honarvar, Sara, Diaz-Mercado, Yancy
Publikováno v:
2024 American Control Conference
This paper presents a spatio-temporal inverse optimal control framework for understanding interactions in multi-agent systems (MAS). We employ a graph representation approach and model the dynamics of interactions between agents as state-dependent ed
Externí odkaz:
http://arxiv.org/abs/2411.00223
Autor:
Honarvar, Sara, Diaz-Mercado, Yancy
Modeling human trajectories in crowded environments is challenging due to the complex nature of pedestrian behavior and interactions. This paper proposes a geometric graph neural network (GNN) architecture that integrates domain knowledge from psycho
Externí odkaz:
http://arxiv.org/abs/2410.17409
Autor:
Loera-Ponce, Jesús Alejandro, Mercado-Ravell, Diego A., Becerra-Durán, Israel, Valentin-Coronado, Luis Manuel
In this paper, we address the vision-based autonomous landing problem in complex urban environments using deep neural networks for semantic segmentation and risk assessment. We propose employing the SegFormer, a state-of-the-art visual transformer ne
Externí odkaz:
http://arxiv.org/abs/2410.12988
Autor:
Yang, F. Z., Luo, K. F., Zhang, Weizhe, Guo, Xiaoyu, Meier, W. R., Ni, H., Li, H. X., Lozano, P. Mercado, Fabbris, G., Said, A. H., Nelson, C., Zhang, T. T., May, A. F., McGuire, M. A., Juneja, R., Lindsay, L., Lee, H. N., Zuo, J. -M., Chi, M. F., Dai, X., Zhao, Liuyan, Miao, H.
In one-dimensional quantum materials, conducting electrons and the underlying lattices can undergo a spontaneous translational symmetry breaking, known as Peierls transition. For nearly a century, the Peierls transition has been understood within the
Externí odkaz:
http://arxiv.org/abs/2410.10539
Earth Observation (EO) has traditionally involved the transmission of a large volume of raw data to map the Earth surface. This results in congestion to the satellite network and delays in the availability of the results, invalidating the approach fo
Externí odkaz:
http://arxiv.org/abs/2410.07431
We present Syndeo: a software framework for container orchestration of Ray on Slurm. In general the idea behind Syndeo is to write code once and deploy anywhere. Specifically, Syndeo is designed to addresses the issues of portability, scalability, an
Externí odkaz:
http://arxiv.org/abs/2409.17070
Future neuromorphic architectures will require millions of artificial synapses, making understanding the physical mechanisms behind their plasticity functionalities mandatory. In this work, we propose a simplified spin memristor, where the resistance
Externí odkaz:
http://arxiv.org/abs/2409.08055
This article studies an inverse problem for a transmission wave equation, a system where the main coefficient has a variable jump across an internal interface given by the boundary between two subdomains. The main result obtains Lipschitz stability i
Externí odkaz:
http://arxiv.org/abs/2409.06260
Autor:
Han, Dong, Moon, Jihye, Díaz, Luís Roberto Mercado, Chen, Darren, Williams, Devan, Ding, Eric Y., Tran, Khanh-Van, McManus, David D., Chon, Ki H.
Most deep learning models of multiclass arrhythmia classification are tested on fingertip photoplethysmographic (PPG) data, which has higher signal-to-noise ratios compared to smartwatch-derived PPG, and the best reported sensitivity value for premat
Externí odkaz:
http://arxiv.org/abs/2409.06147