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Research on robotic mechanical power sensing model based on multimodal sensor fusion

Jianjia Qi

Jianjia Qi

Heilongjiang Institute of TechnologyHarbin, China
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Qi, Jianjia
  
17 mars 2025
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Publié en ligne: 17 mars 2025
Reçu: 06 nov. 2024
Accepté: 18 févr. 2025
DOI: https://doi.org/10.2478/amns-2025-0312
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© 2025 Jianjia Qi, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1.

Automatic encoder structure
Automatic encoder structure

Figure 2.

The difference between simple automatic encoders and variant encoders
The difference between simple automatic encoders and variant encoders

Figure 3.

The local attitude prediction curve of the water bottle
The local attitude prediction curve of the water bottle

Figure 4.

The local attitude prediction diagram of the cube
The local attitude prediction diagram of the cube

Figure 5.

The relationship between the accuracy and dictionary size
The relationship between the accuracy and dictionary size

Figure 6.

The algorithm of different sparse degrees is compared
The algorithm of different sparse degrees is compared
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Sciences de la vie, Sciences de la vie, autres, Mathématiques, Mathématiques appliquées, Mathématiques générales, Physique, Physique, autres
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