Intelligent magnetic soft robots capable of programmable structural changes and multifunctionality modalities depend on material architectures and methods for controlling magnetization profiles. While some efforts have been made, there are still key challenges in achieving programmable magnetization profile and creating heterogeneous architectures. Here, we directly embed programmed magnetization patterns (magnetization modules) into the adhesive sticker layers to construct soft robots with programmable magnetization profiles and geometries and then integrate spatially distributed functional modules. Functional modules including temperature and ultraviolet light sensing particles, pH sensing sheets, oil sensing foams, positioning electronic component, circuit foils, and therapy patch films are integrated into soft robots. These test beds are used to explore multimodal robot locomotion and various applications related to environmental sensing and detection, circuit repairing, and gastric ulcer coating, respectively. This proposed approach to engineering modular soft material systems has the potential to expand the functionality, versatility, and adaptability of soft robots.
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http://dx.doi.org/10.1126/sciadv.abn8932 | DOI Listing |
Adv Sci (Weinh)
December 2024
Graduate School of Biomedical Engineering, Faculty of Engineering, and Tyree Institute of Health Engineering (IHealthE), UNSW Sydney, Kensington Campus, Sydney, NSW, 2052, Australia.
Hemodynamic stabilization is crucial in managing acute cardiac events, where compromised blood flow can lead to severe complications and increased mortality. Conditions like decompensated heart failure (HF) and cardiogenic shock require rapid and effective hemodynamic support. Current mechanical assistive devices, such as intra-aortic balloon pumps (IABP) and extracorporeal membrane oxygenation (ECMO), offer temporary stabilization but are limited to short-term use due to risks associated with prolonged blood contact.
View Article and Find Full Text PDFNat Comput Sci
December 2024
Department of Physics and Astronomy, Tufts University, Medford, MA, USA.
Soft materials underpin many domains of science and engineering, including soft robotics, structured fluids, and biological and particulate media. In response to applied mechanical, electromagnetic or chemical stimuli, such materials typically change shape, often dramatically. Predicting their structure is of great interest to facilitate design and mechanistic understanding, and can be cast as an optimization problem where a given energy function describing the physics of the material is minimized with respect to the shape of the domain and additional fields.
View Article and Find Full Text PDFOral Maxillofac Surg Clin North Am
December 2024
Private Practice, New York Center for Orthgnathic and Maxillofacial Surgery; Department of Oral and Maxillofacial Surgery, New York-Presbyterian Hospital, Weill Cornell Medical Center. Electronic address:
The integration of robotics in medicine and surgery marks a pivotal shift in the way modern health care delivers care. Robotics technology is not only capable of augmenting human capabilities but also improving the quality of surgical interventions. Initially designed to enhance precision in complex surgeries, robotics has made significant advancements in orthopedics, soft tissue surgery, and, more recently, implant dentistry.
View Article and Find Full Text PDFInt J Surg
December 2024
Department of Gastrointestinal Surgery, Chongqing University Cancer Hospital, Chongqing, China.
Background: The role of robotic surgery for the treatment of locally advanced gastric cancer remains controversial. This meta-analysis aimed to compare the short-term outcomes between robotic gastrectomy (RG) and laparoscopic gastrectomy (LG) for patients with locally advanced gastric cancer using data collected from randomized controlled trials (RCTs) and propensity score-matched (PSM) studies.
Materials And Methods: We searched PubMed, Cochrane Library, Embase, and Web of Science databases for RCTs and PSM studies comparing RG and LG.
Biosensors (Basel)
November 2024
Nanobioengineering Group, Institute for Bioengineering of Catalonia (IBEC), Barcelona Institute of Science and Technology (BIST), 12 Baldiri Reixac 15-21, 08028 Barcelona, Spain.
There are many examples in nature in which the ability to detect is combined with decision-making, such as the basic survival instinct of plants and animals to search for food. We can technically translate this innate function via the use of robotics with integrated sensors and artificial intelligence. However, the integration of sensing capabilities into robotics has traditionally been neglected due to the significant associated technical challenges.
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