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README.md
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# SoftManipulator Sim2Real Dataset
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This dataset accompanies the research paper "Bridging High-Fidelity Simulations and Physics-Based Learning Using A Surrogate Model for Soft Robot Control" published in Advanced Intelligent Systems, 2025.
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---
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language:
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- en
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tags:
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- robotics
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- soft-robotics
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- sim2real
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- physics-simulation
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- neural-networks
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- pneumatic-actuation
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- motion-capture
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- surrogate-modeling
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- fem-simulation
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- sofa-framework
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size_categories:
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- 100K<n<1M
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task_categories:
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- other
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task_ids:
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- other-robot-control
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pretty_name: "Soft Manipulator Sim2Real Dataset"
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configs:
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- config_name: default
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data_files:
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- "*.csv"
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dataset_info:
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features:
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- name: P1
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dtype: float64
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description: "Pneumatic pressure for cavity 1 (Pa)"
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- name: P2
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dtype: float64
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description: "Pneumatic pressure for cavity 2 (Pa)"
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- name: P3
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dtype: float64
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description: "Pneumatic pressure for cavity 3 (Pa)"
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- name: thetaX
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dtype: float64
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description: "Joint angle X-axis (radians)"
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- name: thetaY
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dtype: float64
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description: "Joint angle Y-axis (radians)"
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- name: d
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dtype: float64
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description: "Linear displacement (mm)"
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- name: TCP_X
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dtype: float64
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description: "Tool center point X position (mm)"
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- name: TCP_Y
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dtype: float64
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description: "Tool center point Y position (mm)"
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- name: TCP_Z
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dtype: float64
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description: "Tool center point Z position (mm)"
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splits:
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- name: train
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num_bytes: 167000000
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num_examples: 200000
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download_size: 167000000
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dataset_size: 167000000
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license: mit
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paperswithcode_id: null
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---
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# SoftManipulator Sim2Real Dataset
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This dataset accompanies the research paper "Bridging High-Fidelity Simulations and Physics-Based Learning Using A Surrogate Model for Soft Robot Control" published in Advanced Intelligent Systems, 2025.
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