Our latest research work titled โ€œA Real-Time Self-Sensing Approach to Sensor Array Configuration Fusing Prior Knowledge for Reconfigurable Magnetic Tracking Systemsโ€ has been accepted by IEEE/ASME Transactions on Mechatronics!

Impact:

The reconfigurability of magnetic tracking systems (MTSs) allows for its application in workspaces of different sizes. For instance, with appropriate configuration adjustments, it can be utilized for tasks such as tongue tracking in the head, tracheal intubation navigation in the neck, and even muscle tracking in the legs and arms. However, the dynamic changes in sensor array configuration, known as deformation, caused by posture changes during long-duration examinations, impose significant challenges on MTSs that heavily rely on magnetometer poses.

Here we propose a real-time self-sensing method based on the sensor array structural model and magnetic dipole model, which simultaneously estimates the magnet pose and the hinge angles on the sensor array. The self-sensing capability opens up a new way for perceiving the morphology of origami robots and measuring the curvature of flexible catheters

Paper: https://lnkd.in/dnmcvusm

Authors: Shijian Su; Xindi Yang; Zhen Li; Hongliang Ren

No alternative text description for this image
No alternative text description for this image

Excited to share our journal paper entitled โ€œMagnetic Tracking With Real-Time Geomagnetic Vector Separation for Robotic Dockable Chargingโ€ published in IEEE Transactions on Intelligent Transportation Systems! ๐ŸŽ‰

Great collaboration between the Chinese University of Hong Kong and the Quanzhou Institute of Equipment Manufacturing, Haixi Institutes, Chinese Academy of Sciences. ๐Ÿค

The superposition of the geomagnetic vector and the magnetic field vector generated by the permanent magnet (PM) leads to the degrading of magnetic tracking performance. Here we present a real-time geomagnetic-vector-separation method to estimate the PM pose and geomagnetic vector simultaneously. This advancement promises to revolutionize autonomous robotic operations, offering a robust solution for seamless and reliable self-charging mechanisms, with far-reaching implications for various industries.

Paper: https://lnkd.in/gAbr82Dp

Authors: Shijian Su; Houde Dai; Yuanchao Zhang; Sishen YUAN; Prof Shuang Song and Prof Hongliang Ren.

No alternative text description for this image
No alternative text description for this image