RUSOpt: Robotic UltraSound Probe Normalization with Bayesian Optimization for In-plane and Out-plane Scanning

no code implementations • 5 Oct 2023 • Deepak Raina, Abhishek Mathur, Richard M. Voyles, Juan Wachs, SH Chandrashekhara, Subir Kumar Saha

To address this challenge, we propose a sample-efficient method to automatically adjust the orientation of the ultrasound probe normal to the point of contact on the scanning surface, thereby improving the acoustic coupling of the probe and resulting image quality.

Bayesian Optimization

RoboMal: Malware Detection for Robot Network Systems

no code implementations • 20 Jan 2022 • Upinder Kaur, Haozhe Zhou, Xiaxin Shen, Byung-Cheol Min, Richard M. Voyles

Notably, the LSTM-based RoboMal model outperforms the other models with an accuracy of 85% and precision of 87% in 10-fold cross-validation, hence proving the effectiveness of the proposed framework.

Malware Detection

Clutter Slices Approach for Identification-on-the-fly of Indoor Spaces

1 code implementation • 12 Jan 2021 • Upinder Kaur, Praveen Abbaraju, Harrison McCarty, Richard M. Voyles

In this paper, we present a novel identification-on-the-fly approach for coarse classification of indoor spaces using the unique signature of clutter.