Visual-tactile Sensing for Real-time Liquid Volume Estimation in Grasping

Author:

Zhu Fan1,Jia Ruixing2,Yang Lei2,Yan Youcan3,Wang Zheng4,Pan Jia2,Wang Wenping2

Affiliation:

1. School of Robotics, Xi'an-Jiaotong Liverpool University

2. The University of Hong Kong,Department of Computer Science

3. City University of Hong Kong,Department of Biomedical Engineering

4. Southern University of Science and Technology,Department of Mechanical and Energy Engineering

Publisher

IEEE

Reference23 articles.

1. Object categorization in the sink: Learning behavior-grounded object categories with water;griffith;Proceedings of the 2012 ICRA Workshop on Semantic Perception Mapping and Exploration,0

2. Soft magnetic skin for super-resolution tactile sensing with force self-decoupling

3. ImageNet: A large-scale hierarchical image database

4. Visual closed-loop control for pouring liquids

5. Daytime water detection based on color variation

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1. Force-based touch approach for volume estimation;Jornadas de Automática;2024-07-15

2. A Novel Visuo-Tactile Object Recognition Pipeline using Transformers with Feature Level Fusion;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Liquids Identification and Manipulation via Digitally Fabricated Impedance Sensors;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Content Estimation Through Tactile Interactions with Deformable Containers;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

5. Visual–tactile fusion object classification method based on adaptive feature weighting;International Journal of Advanced Robotic Systems;2023-07-01

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