A virtual data generator system for shape recognition in haptic robotics Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1007/s41315-024-00402-6
In robotics, the current state of object recognition in haptic sensory mode falls significantly short of the results obtained in visual mode. One of the main reasons for this is the lack of haptic data sets for training recognition models. A major impediment is the time-consuming and difficult task for a real robot to capture large amounts of haptic information. This paper introduces a virtual haptic dataset generator system that captures haptic features based on the curvatures of an object. The main goal is to show that this capture system is a feasible approach that can eventually be implemented not only in virtual settings but in actual robots. The virtual haptic capture system described speeds up the learning process, where a real robot would learn through virtual simulation. The paper shows three important points that make the system feasible. The capture is independent of the angle of inclination of the end-effector as it approaches the explored object. The system recognition is performed on everyday objects. Since a real system is exposed to noise during data acquisition, the data of the virtual system must also contain noise. High performance is still achieved within the noise ranges of current sensor systems.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1007/s41315-024-00402-6
- OA Status
- hybrid
- References
- 23
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4404582783
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4404582783Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1007/s41315-024-00402-6Digital Object Identifier
- Title
-
A virtual data generator system for shape recognition in haptic roboticsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-11-21Full publication date if available
- Authors
-
Anna Gutiérrez, Guillem Garrofé, Pau Nonell, Claudia Serrano, Carlota Parés, Tomás van den Heijkant, Magdalena Vera, Conrado Ruiz, Luis Vidal, Alejandro González, Òscar de Jesús, Raquel Ros, David MirallesList of authors in order
- Landing page
-
https://doi.org/10.1007/s41315-024-00402-6Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1007/s41315-024-00402-6Direct OA link when available
- Concepts
-
Haptic technology, Artificial intelligence, Computer science, Noise (video), Process (computing), Robotics, Robot, Computer vision, Generator (circuit theory), Object (grammar), Task (project management), Virtual reality, Virtual machine, Human–computer interaction, Simulation, Engineering, Power (physics), Operating system, Systems engineering, Image (mathematics), Quantum mechanics, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
-
23Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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