COLMAG: Magnetic Sensing Data for Human-Aware Collaborative Robotics

74.2 MB of data supporting the COLMAG framework for collaborative robotics using magnetic sensing. The dataset, authored by Federico Masiero and last updated in April 2026, is associated with research exploring a complementary near-field modality for intuitive physical human-robot interaction (pHRI). It likely contains measurements from magnetometer arrays tracking a passive magnetic marker worn by a human operator.

Use Cases

• Training models for real-time human pose estimation based on magnetic field data mentioned in the description
• Developing speed-and-separation monitoring or collision avoidance algorithms based on near-field operator tracking
• Implementing contactless robot guidance and teaching-by-demonstration systems using multi-DoF marker tracking
• Benchmarking magnetic sensing against vision or capacitive systems for occlusion- and lighting-insensitive tracking

Strengths

• Median tracking computation times below 5 ms, as stated in the description, suggest suitability for real-time applications
• The modular sensing architecture described supports compatibility with different robot platforms
• Data is shared under a permissive CC-BY-4.0 license

Limitations

• Column-level documentation is absent; field semantics must be inferred after download
• Row count is unknown, which may limit suitability assessment
• The dataset's specific validation scenarios and robot models used are not detailed

Provenance

Source

Federico Masiero via figshare

Collection Method

Likely generated from experiments with the COLMAG magnetic-sensing framework on a collaborative robot.

Time Range

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Freshness

Last updated 2026-04-14 17:43:48

Geography

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