[HTML][HTML] A survey on machine learning based analysis of heterogeneous data in industrial automation

S Kamm, SS Veekati, T Müller, N Jazdi, M Weyrich - Computers in Industry, 2023 - Elsevier
In many application domains data from different sources are increasingly available to
thoroughly monitor and describe a system or device. Especially within the industrial …

Transferring implicit knowledge of non-visual object properties across heterogeneous robot morphologies

G Tatiya, J Francis, J Sinapov - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
Humans leverage multiple sensor modalities when interacting with objects and discovering
their intrinsic properties. Using the visual modality alone is insufficient for deriving intuition …

Better utilization of materials' compositions for predicting their properties: Material composition visualization network

Y Yu, X Wu, Q Qian - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
Owing to the complexity and diversity of advanced high-performance materials, it is
challenging to comprehensively understand a material's composition–process–structure …

Multimodal multi-user surface recognition with the kernel two-sample test

B Khojasteh, F Solowjow, S Trimpe… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Machine learning and deep learning have been used extensively to classify physical
surfaces through images and time-series contact data. However, these methods rely on …

Deep Learning Model for Cosmetic Gel Classification Based on a Short-Time Fourier Transform and Spectrogram

JH Sim, J Yoo, ML Lee, SH Han, SK Han… - … Applied Materials & …, 2024 - ACS Publications
Cosmetics and topical medications, such as gels, foams, creams, and lotions, are
viscoelastic substances that are applied to the skin or mucous membranes. The human …

Signal Processing for Haptic Surface Modeling: a Review

AL Stefani, N Bisagno, A Rosani, N Conci… - arXiv preprint arXiv …, 2024 - arxiv.org
Haptic feedback has been integrated into Virtual and Augmented Reality, complementing
acoustic and visual information and contributing to an all-round immersive experience in …

Visually Impaired People Learning Virtual Textures Through Multimodal Feedback Combining Vibrotactile and Voice

D Chen, Y Ding, H Wu, Q Jia, H Zeng… - … on Neural Systems …, 2025 - ieeexplore.ieee.org
In recent years, various haptic rendering methods have been proposed to help people
obtain interactive experiences with virtual textures through vibration feedback. However, due …

Cross-tool and cross-behavior perceptual knowledge transfer for grounded object recognition

G Tatiya, J Francis, J Sinapov - arXiv preprint arXiv:2303.04023, 2023 - arxiv.org
Humans learn about objects via interaction and using multiple perceptions, such as vision,
sound, and touch. While vision can provide information about an object's appearance, non …

Surface material classification based on unbalanced visual and haptic data: A double-DQN method

G Liu, S Lv, C Wang, X Li, W Nai - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The article focuses on surface material classification with unbalanced visual and haptic data,
which is important in teleoperation and robotic recognition. For this problem, existent …

Robust Surface Recognition with the Maximum Mean Discrepancy: Degrading Haptic-Auditory Signals through Bandwidth and Noise

B Khojasteh, Y Shao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Sliding a tool across a surface generates rich sensations that can be analyzed to recognize
what is being touched. However, the optimal configuration for capturing these signals is yet …