Touch It, Rub It, Feel It! Haptic Rendering of Physical Textures with a Low Cost Wearable System

Junput, Burathat; Farkhatdinov, Ildar; Jamone, Lorenzo

doi:10.1007/978-3-030-63486-5_29

Cited by 4 publications

(2 citation statements)

References 28 publications

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“…Most 3D interaction systems do not support the ability to track the individual fingers (Jason Jerald, 2015). This unnaturalistic use of haptic feedback, including in dexterity training applications, is questioned by multiple groups striving to integrate texture and temperature perception into XR haptic feedback (Kato et al, 2019;Junput et al, 2020;Keef et al, 2020), and allow precise finger and naturalistic grip and push movements through manual controllers (Dorfmuller-Ulhaas and Schmalstieg, 2001;Voigt-Antons et al, 2020).…”

Section: Haptics and Proprioceptionmentioning

confidence: 99%

Designing immersive interfaces for clinical applications

Chenais,

Görgen

2024

Preprint

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Digital immersive technologies have become increasingly prominent in clinical research and practice, encompassing medical communication and technical education, serious games for health, psychotherapy, and interfaces for neurorehabilitation. The worldwide effervescence of digital health and digital therapeutics has prompted the development and testing of numerous applications and interaction methods. Nevertheless, the lack of consistency in the approaches and the peculiarity of the constructed environments contribute to an increasing disparity between the eagerness for new immersive designs and the long-term clinical adoption of these technologies. Several challenges emerge from the collide of virtual environment designers and clinicians. This article seeks to examine the utilization and mechanics of medical immersive interfaces based on extended reality and highlight specific design challenges. The transfer of virtually acquired skills and clinical efficiency is frequently constrained by a combination of perceptual and attractiveness factors. We argue that a multidisciplinary approach to development and testing, along with a comprehensive acknowledgement of the shared mechanisms that underlie immersive training, are essential for the sustainable integration of extended reality into clinical settings. The present review discusses the application of a multilevel sensory framework to extended reality design, with the aim of developing brain centred immersive interfaces tailored for therapeutic and educational purposes. Such a framework must include broader design questions, such as the integration of digital technologies into psychosocial care models, clinical validation, and related ethical concerns. We propose that efforts to bridge the virtual gap should include mixed methodologies and neurodesign approaches, integrating user behavioural and physiological feedback into iterative design phases.

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Section: Haptics and Proprioceptionmentioning

confidence: 99%

Designing immersive interfaces for clinical applications

Chenais,

Görgen

2024

Preprint

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“…Providing tactile feedback to a human operator is another key factor in achieving safe and successful task completion in remote robotic manipulation. Traditional haptic interfaces can generate force or vibrotactile feedback to characterise the haptic properties of the remote environment; therefore, we have explored the use of simple vibration motors as a very affordable and portable solution [77][78][79][80][81]. However, very few of these solutions can simultaneously render force, texture, and shape.…”

Section: Haptic Feedback For Robot Teleoperationmentioning

confidence: 99%

A Suite of Robotic Solutions for Nuclear Waste Decommissioning

et al. 2021

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Dealing safely with nuclear waste is an imperative for the nuclear industry. Increasingly, robots are being developed to carry out complex tasks such as perceiving, grasping, cutting, and manipulating waste. Radioactive material can be sorted, and either stored safely or disposed of appropriately, entirely through the actions of remotely controlled robots. Radiological characterisation is also critical during the decommissioning of nuclear facilities. It involves the detection and labelling of radiation levels, waste materials, and contaminants, as well as determining other related parameters (e.g., thermal and chemical), with the data visualised as 3D scene models. This paper overviews work by researchers at the QMUL Centre for Advanced Robotics (ARQ), a partner in the UK EPSRC National Centre for Nuclear Robotics (NCNR), a consortium working on the development of radiation-hardened robots fit to handle nuclear waste. Three areas of nuclear-related research are covered here: human–robot interfaces for remote operations, sensor delivery, and intelligent robotic manipulation.

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