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Supporting data for “Data-driven strategies for soft sensing, robot modelling and control”

dataset
posted on 11.05.2022, 01:29 authored by Kui WangKui Wang

  Soft/continuum robots are developed with high dexterity, flexibility and adaptability, as inspired by biologies like octopus, elephant trunk and vines. This high compliance
endows them with the advantage of safe interaction with their surroundings or humans, which indicates a wide spectrum of applications. However, unlike conventional rigid-link robots with identified kinematics/dynamics, high flexibility also brings great challenges for their sensing, modelling and control. The infinite degree-of-freedoms (DoFs) and high non-linearity make it hard to find solutions with conventional analytical methods. In such situations, data-driven strategies using learning algorithms are a promising way out to solve these concerns for soft/continuum robots.
 

Funding

Intra-operative MRI-guided Robotic System for Photothermal Therapy of Bladder Cancer

University Grants Committee

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Robot-assisted Laser Treatment of Hepatocellular Carcinoma under Intra-operative Magnetic Resonance Imaging

University Grants Committee

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Intra-operative MRI-guided Robotic System for Ultrasound-driven Drug Delivery

University Grants Committee

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