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1.
Sci Robot ; 7(63): eabk2119, 2022 02 02.
Article in English | MEDLINE | ID: mdl-35108023

ABSTRACT

Soft robotics greatly benefits from nature as a source of inspiration, introducing innate means of safe interaction between robotic appliances and living organisms. In contrast, the materials involved are often nonbiodegradable or stem from nonrenewable resources, contributing to an ever-growing environmental footprint. Furthermore, conventional manufacturing methods, such as mold casting, are not suitable for replicating or imitating the complexity of nature's creations. Consequently, the inclusion of sustainability concepts alongside the development of new fabrication procedures is required. We report a customized 3D-printing process based on fused deposition modeling, printing a fully biodegradable gelatin-based hydrogel (biogel) ink into dimensionally stable, complex objects. This process enables fast and cost-effective prototyping of resilient, soft robotic applications from gels that stretch to six times their original length, as well as an accessible recycling procedure with zero waste. We present printed pneumatic actuators performing omnidirectional movement at fast response times (less than a second), featuring integrated 3D-printed stretchable waveguides, capable of both proprio- and exteroception. These soft devices are endowed with dynamic real-time control capable of automated search-and-wipe routines to detect and remove obstacles. They can be reprinted several times or disposed of hazard-free at the end of their lifetime, potentially unlocking a sustainable future for soft robotics.


Subject(s)
Hydrogels , Printing, Three-Dimensional , Robotics/methods , Biocompatible Materials , Biomimetic Materials , Equipment Design , Gelatin , Humans , Ink , Optical Phenomena , Printing, Three-Dimensional/instrumentation , Robotics/instrumentation , Tensile Strength
2.
Annu Int Conf IEEE Eng Med Biol Soc ; 2017: 42-45, 2017 Jul.
Article in English | MEDLINE | ID: mdl-29059806

ABSTRACT

Epidural and spinal anesthesia are mostly performed "blind" without any medical imaging. Currently, training of these procedures is performed on human specimens, virtual reality systems, manikins and mostly in clinical practice supervised by a professional. In this study a novel hybrid, low-cost patient simulator for the training of needle insertion into the epidural space was designed. The patient phantom provides a realistic force feedback comparable with biological tissue and enables sensing of the needle tip position during insertion. A display delivers the trainee a real-time feedback of the needle tip position.


Subject(s)
Needles , Anesthesia, Epidural , Epidural Space , Humans , Manikins , User-Computer Interface
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