Space Robotic Arm Capture and Contact State Transition Dataset

#State Transition Prediction #Contact Dynamics Modeling #Capture Stability Prediction #Robot Policy Learning #Simulation Evaluation #On-Orbit Target Capture #Robotic Contact Manipulation #Space Robot Simulation #Compliant Control #Simulation-Based Reinforcement Learning

6540
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Designed for simulated contact, grasping, and stable capture between an on-orbit servicing robot arm and a target, this dataset provides joint states, end-effector motion, contact measurements, motion constraints, and control actions. It also includes derived contact dynamics features, capture stability outcomes, and predicted post-capture system states, supporting analysis of state changes and system responses during contact. Typical uses include state transition modeling, capture stability assessment, and simulation-based reinforcement learning for space robotic arms.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
joint_state_raw	object	Raw positions, velocities, accelerations, and drive torques for the robotic arm joints at the current time step.
control_action_raw	object	Joint, end-effector, and gripper-related control commands sent to the robotic arm.
constraint_state_raw	object	Raw state describing motion constraints, normal direction, penetration depth, and friction conditions during contact.
capture_stability_state	object	Target capture stability outcome determined from contact dynamics, constraints, and control state.
contact_measurement_raw	object	Contact force, contact torque, contact point, and contact indicator data collected by the end effector or contact sensors.
end_effector_motion_raw	object	Raw pose, linear velocity, and angular velocity data for the robotic arm end effector.
contact_dynamics_features	object	Derived contact dynamics features calculated from contact measurements and constraint states.
predicted_post_capture_state	object	Predicted states of the robotic arm and target system after capture, based on the current state and control action.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What does the dataset contain?: The data is organized around robotic arm contact and capture. It includes joint and end-effector motion states, contact measurements, constraint states, control actions, derived contact dynamics features, capture stability outcomes, and predicted post-capture system states.

Is this data from real on-orbit missions?: No. The dataset is described as simulation data for studying contact state changes, capture processes, and system responses in controlled simulated scenarios. It should not be treated as measurements from real on-orbit missions.

Are units and sampling rates specified for the fields?: The schema includes object-valued data for joints, end-effector motion, contact, constraints, and control. Check the technical documentation or sample files provided with the listing for exact units, sampling rates, coordinate frame definitions, and data formats.

How can I access the data, and what license applies?: Check the dataset listing for available access methods, delivery formats, and sample information. Download, research, and commercial use are governed by the license terms supplied by the publisher; verify the permitted scope and citation requirements before use.

Which research and training tasks is it suited for?: The dataset can support state transition prediction, contact dynamics modeling, capture stability assessment, and simulation-based reinforcement learning. It can also help compare how different control actions affect the post-capture states of the robotic arm and target system.

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Cite this Work

@dataset{Mobiusi2026,
  title={Space Robotic Arm Capture and Contact State Transition Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/e4c760cd29d42459bf801712ac1859b1?dataset_scene_id=20},
  urldate={2026-10-28},
  keywords={space robotic arm dataset,on-orbit servicing robot,target capture simulation,contact dynamics data,robot arm state prediction,capture stability assessment,state transition modeling,robot reinforcement learning},
  version={1.0}
}

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