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tracking algorithm » tracking algorithms (Expand Search), training algorithms (Expand Search), making algorithm (Expand Search)
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Showing 1,101 - 1,120 results of 1,490 for search '(( elements method algorithm ) OR ((( data code algorithm ) OR ( data tracking algorithm ))))', query time: 0.65s Refine Results
  1. 1101
    Schematic diagram of the quadruped soft robot.

    Schematic diagram of the quadruped soft robot. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  2. 1102
    Error curves of Leg 1 and Leg 3.

    Error curves of Leg 1 and Leg 3. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  3. 1103
    Leg-1.

    Leg-1. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  4. 1104
    Inputs and outputs.

    Inputs and outputs. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  5. 1105
    Three-dimensional workspace of the foot-end.

    Three-dimensional workspace of the foot-end. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  6. 1106
    The sampled values and the fitted values.

    The sampled values and the fitted values. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  7. 1107
    Side view of a single air pouch.

    Side view of a single air pouch. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  8. 1108
    Bending sensor.

    Bending sensor. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  9. 1109
    The structure of the pneumatic actuator.

    The structure of the pneumatic actuator. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  10. 1110
    Main structure of the octagonal prism.

    Main structure of the octagonal prism. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  11. 1111
    The error of leg-2.

    The error of leg-2. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  12. 1112
    Control error comparison.

    Control error comparison. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  13. 1113
    Air pressure versus bending angle.

    Air pressure versus bending angle. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  14. 1114
    The structure of the single soft robotic leg.

    The structure of the single soft robotic leg. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  15. 1115
    Control curves of Leg 1 and Leg 3.

    Control curves of Leg 1 and Leg 3. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  16. 1116
    The error of leg-1.

    The error of leg-1. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  17. 1117
    Control process flowchart.

    Control process flowchart. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  18. 1118
    Soft leg bending angle.

    Soft leg bending angle. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  19. 1119
    PID controller parameters optimization process.

    PID controller parameters optimization process. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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  20. 1120
    Hardware setup.proportional valve.

    Hardware setup.proportional valve. by Hongjun Meng (5031806)

    Published 2025
    “…The body and overall structure of the robot were also systematically designed. Furthermore, a data-driven modeling method for the soft actuator was introduced, alongside an Improved Particle Swarm Optimization algorithm for fine-tuning PID control parameters. …”
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