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1.
Int J Educ Technol High Educ ; 19(1): 62, 2022.
Article in English | MEDLINE | ID: covidwho-2084702

ABSTRACT

This paper makes a critical review of educational and operational issues related with pandemic and postpandemic lessons in Latin American higher education institutions (LATAM HEI), as background for uncovering key elements to innovate educational practices in technology-mediated higher education. The authors adapted the reflexive pedagogy framework to conduct in depth analysis of innovation experiences mediated with educational technologies and draw conclusions for curricular and digital transformation of LATAM HEI.

2.
Journal of Industrial Integration and Management ; 2022.
Article in English | Web of Science | ID: covidwho-2083081

ABSTRACT

Robotics is a disruptive technology that has already revolutionized patient healthcare globally. This technology is presently helping to perform various essential tasks such as conducting operations via numerous specializations and managing the entire operating room. Robot surgery is, in reality, available worldwide for knee substitution, correction of the hernia, and colon resection. Surgical robots entered the operating theatres far before entering other medicine-related robotics applications and now facilitate better outcomes for a whole range of healthcare products. In the COVID-19 pandemic, some robots were used in hospitals to deliver medicines, screen, perform odd jobs, and maintain hygienic conditions. This paper provides an overview about robotics and its various applications useful for healthcare. Significant enhancement, quality services, and advancements in healthcare services are also discussed. Here, we have identified the role of robotics in healthcare as a technology that dramatically changes the healthcare field. An artificial intelligence robot can duplicate creativity via algorithms, and its programming too plays a crucial role. Hospitals can now save time and money by removing the need for physical chores for different jobs. It is helpful for surgical training, exoskeletons, intelligent prostheses and bionics, robotic nurses, treatment, medicines, logistics, telepresence, and cleaning services. Robotics technologies such as gesture control, machine view, voice recognition, and touch sensor technology are also available. The future is bright with lower installation and maintenance costs.

3.
Chest ; 162(4 Supplement):A2650-A2651, 2022.
Article in English | EMBASE | ID: covidwho-2060977

ABSTRACT

SESSION TITLE: Late Breaking Procedures Posters SESSION TYPE: Original Investigation Posters PRESENTED ON: 10/18/2022 01:30 pm - 02:30 pm PURPOSE: The Galaxy SystemTM (Noah Medical, San Carlos, CA) is a novel robotic endoluminal platform using electromagnetic navigation combined with integrated tomosynthesis technology and augmented fluoroscopy. It provides intraprocedural imaging to correct CT-to-body divergence and novel confirmation of tool-in-lesion. The primary aim of this study was to assess the tool-in-lesion accuracy of the robotic bronchoscope with integrated digital tomosynthesis and augmented fluoroscopy. METHOD(S): Over four separate days, four operators (the authors) conducted the experiment using four pigs. Each physician performed between 4 and 6 nodule biopsies for 20 lung nodule biopsies. A porcine model (S. s. domesticus) was utilized. Each pig was anesthetized with volatile gas and underwent tracheostomy with an 8.5 endotracheal tube and bilateral chest tube thoracostomy. Anesthesia was monitored by a veterinarian with invasive hemodynamic monitoring. Under CT fluoroscopic guidance, simulated lung nodules were created by percutaneous injection of a gelatinous agar solution containing purple dye and radiopaque material into the lung periphery. A CT was then performed for pre-procedure planning. Using Galaxy's "Tool in Lesion TOMO+" with augmented fluoroscopy, the physician navigated to the lung nodules and a tool (needle) was placed into the lesion. Tool in lesion was defined by the needle in or tangential to the lesion determined by CBCT. Center strike was defined as the needle in the middle third in three orthogonal angles (axial, sagittal, and coronal) on CBCT. RESULT(S): Lung nodules' average size was 16.3+/-0.97 mm and were predominantly in the lower lobes (65%). Only 15% (3/20) had a bronchus sign and the average distance to the pleura was 6.88+/-5.5 mm. All four operators successfully navigated to all (100%) of the lesions in an average of 3 minutes and 39 seconds. The median number of tomosynthesis sweeps was 3 and augmented fluoroscopy was utilized in most cases (17/20 or 85%). Tool in lesion after final tomography sweep was 100% (20/20). Biopsy yielding purple pigmentation on microscopic or gross examination was also 100% (20/20). Center strike rate was 60%. CONCLUSION(S): The Galaxy SystemTM demonstrated successful digital tomography confirmed tool in lesion success in 100% (20/20) of lesions as confirmed by CBCT. Successful biopsy was achieved in 100% of lesions as confirmed by intralesional pigment acquisition. CLINICAL IMPLICATIONS: The combination of robotic navigation, catheter maneuverability and real-time correction for CT body divergence capitalizes on the strengths of all three technologies to improve diagnosis. Additional clinical trials are warranted to see if high success rates can be reproduced in patients. DISCLOSURES: Consultant relationship with Medtronic ILS Please note: $20001 - $100000 by Krish Bhadra, value=Consulting fee Consultant relationship with Veractye Please note: $1-$1000 by Krish Bhadra, value=Consulting fee Consultant relationship with Bodyvision Please note: $1001 - $5000 by Krish Bhadra, value=Consulting fee Consultant relationship with Merit Endotek Please note: $1001 - $5000 by Krish Bhadra, value=Consulting fee Consultant relationship with Boston Scientific Please note: $1001 - $5000 by Krish Bhadra, value=Consulting fee Human Factor Testing relationship with Auris Surgical Robotics Please note: $1001 - $5000 by Krish Bhadra, value=Consulting fee Consultant relationship with Intuitive Surgical Robotics Please note: $5001 - $20000 by Krish Bhadra, value=Consulting fee Consultant relationship with Biodesix Please note: $5001 - $20000 by Krish Bhadra, value=Consulting fee Consultant relationship with Noah Medical Please note: 5/2020 Added 06/01/2022 by Krish Bhadra, value=Consulting fee Speaker relationship with Body Vision Please note: 2015 - present Added 05/29/2022 by Douglas Hogarth, value=Ownership interest Consultant relationship with Magnisity Please note: 2021 - present Added 05/29/2022 by Douglas Hogarth, value=Ownership interest Consultant relationship with Auris (J&J Ethicon) Please note: 2014-present Added 05/29/2022 by Douglas Hogarth, value=Honoraria Consultant relationship with Boston Scientific Please note: 2008 - present Added 05/29/2022 by Douglas Hogarth, value=Consulting fee Consultant relationship with Medtronic Please note: 2010-2019 Added 05/29/2022 by Douglas Hogarth, value=Consulting fee Consultant relationship with Broncus Please note: 2017-2021 Added 05/29/2022 by Douglas Hogarth, value=Consulting fee Consultant relationship with PulmonX Please note: $5001 - $20000 by Douglas Hogarth, value=Consulting fee Removed 06/08/2022 by Douglas Hogarth Consultant relationship with Spiration Please note: $5001 - $20000 by Douglas Hogarth, value=Consulting fee Removed 06/08/2022 by Douglas Hogarth Consultant relationship with Eolo Please note: $20001 - $100000 by Douglas Hogarth, value=Ownership interest Removed 06/08/2022 by Douglas Hogarth Consultant relationship with Noah Please note: 2019 - present Added 06/08/2022 by Douglas Hogarth, value=Ownership interest Consultant relationship with Noah Please note: 2019 - present Added 06/08/2022 by Douglas Hogarth, value=Consulting fee Consultant relationship with Medtronic Corporation Please note: $5001 - $20000 by Amit Mahajan, value=Consulting fee Consultant relationship with Boston Scientific Corporation Please note: $1001 - $5000 by Amit Mahajan, value=Consulting fee Consultant relationship with Pulmonx Corporation Please note: $5001 - $20000 by Amit Mahajan, value=Consulting fee Consultant relationship with Ambu USA Please note: $1-$1000 by Amit Mahajan, value=Consulting fee Consultant relationship with Circulogene Please note: $1001 - $5000 by Amit Mahajan, value=Consulting fee Consultant relationship with Medtronic/Covidien Please note: $1001 - $5000 by Otis Rickman, value=Consulting fee Copyright © 2022 American College of Chest Physicians

4.
3rd International Conference on Emerging Technologies in Data Mining and Information Security, IEMIS 2022 ; 490:515-525, 2023.
Article in English | Scopus | ID: covidwho-2059757

ABSTRACT

The world have experienced a severe human-health crisis as a result of the emergence of a novel coronavirus (COVID-19), which was declared a global pandemic by WHO. As close human-to-human contact can spread the COVID-19 causing virus, keeping social distance is now an absolute necessity as a preventative measure. At a time of global pandemic, there is a huge need to treat patients with little patient–doctor interaction by using robots. Robots can be characterized as machines that can execute a wide range of tasks with greater autonomy and degree of freedom (DoF) than humans, making it difficult to identify them from other machines. A wide range of equipment, sensors, and information and communication technology (ICT) are now part of the healthcare system, which has become increasingly complicated. Protecting front-line personnel from virus exposure is the primary goal of using robots in health care. The aim of this study is to emphasize the evolving importance of robotics applications in health care and related fields. This paper examines in depth the design and operation of a wide range of healthcare robots in use around the world. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

5.
Investigative Ophthalmology and Visual Science ; 63(7):1084-A0179, 2022.
Article in English | EMBASE | ID: covidwho-2057445

ABSTRACT

Purpose : Moorfields Eye Hospital, London, is a centre of excellence for ophthalmic research, education and patient care. During the COVID-19 pandemic, medical students' clinical education exposure and patients' multidisciplinary care were greatly affected. Telepresence robots have been suggested as a solution to reduce the impact of COVID-19. We present the results of a trial used to evaluate the capabilities of a telepresence robot in improving clinical education for undergraduate medical students, and the possibility to deliver multidisciplinary clinical patient care via a telepresence robot. Methods : In a two-day trial period, the telepresence robot was used in four tasks: 1) to livestream an adnexal surgery to students off-site;2) autonomously navigating patients from clinic to pharmacy;3) by a clinician to remotely review patients with an ophthalmologist who was consulting the patient face to face;4) and to deliver a teaching session to medical students. Feedback was gathered using a questionnaire and in a group discussion together with clinicians, patients, students, robot specialists and IT specialists. Results : 15 patients of a wide age range and 5 medical students were surveyed. The vast majority of both groups were unaware of telepresence robots. The mean rating given by both groups was 6/10 (with a range of 1-10/10 and 3-8/10) respectively. The groups praised the innovation, felt it could support clinical pressures, and improve their involvement. However, there were concerns about impersonality and technical limitations, and each offered ideas for improvements. All students felt there was potential to improve medical education using the robot. Qualitative feedback during the group discussion highlighted the importance of adapting the currently available hardware and software to enhance its use in education and patient care. Conclusions : This trial provided a greater understanding into the practicalities of incorporating a telepresence robot, in its current form, to clinical medical care and education. While there are challenges with the technical specification of the telepresence robot, the proposition of using such a device has drawn positive engagement from students, patients and clinicians thus validating further research.

6.
Informatics in Education ; 21(3):523-540, 2022.
Article in English | Scopus | ID: covidwho-2056526

ABSTRACT

This study aims to explore the usability of the virtual robotics programming curriculum (VRP-C) for robotics programming teaching. Pre-service computer science (CS) teachers were trained for robotics programming teaching by using VRP-C in a scientific education activity. After training, views of the participants were revealed by using a scale and an evaluation form consisting of open-ended questions. Results show that VRP-C is compatible with the curriculum for robotics programming teaching in schools, and pre-service CS teachers tend to use VRP-C in their courses. They think that VRP-C will be beneficial for robotics programming teaching in terms of content, functionality, and cost. Compatibility, visual design, feedback, time management, fiction, gamification, and cost are the characteristics that increase the usability of VRP-C. VRP-C can be used as an online tool for robotics programming training due to the necessity of transition to distance education because of the COVID-19 pandemic. © 2022 Vilnius University, ETH Zürich

7.
2022 IEEE World Conference on Applied Intelligence and Computing, AIC 2022 ; : 103-108, 2022.
Article in English | Scopus | ID: covidwho-2051928

ABSTRACT

In the time of Covid-19, when social distancing is one of the important solution for avoiding virus infection, human cleaner become the one of the major spreaders of the virus. Also day-by-day human cleaner cost and the number of senior citizens are increasing, autonomous surface cleaner is in demand. It is also useful for the industry places, offices, and other public and private places. Commercial surface cleaners are available in the market with having limited functionality of covering the entire surface area. In addition, these surface cleaners demands a good amount of human efforts. In this paper author proposed design of an efficient autonomous surface cleaner using deep learning and embedded technology. It is having complete area coverage planning and dynamic obstacles avoidance strategies. The prototype of the proposed design is developed and tested in a room area of the domestic environment. It covers the significant surface areas and clean the surface efficiently with minimal human efforts. © 2022 IEEE.

8.
Transcultural Artificial Intelligence and Robotics in Health and Social Care ; : 245-276, 2022.
Article in English | Scopus | ID: covidwho-2048806

ABSTRACT

Prompted by the 2020 COVID-19 pandemic, this chapter draws evidence from research studies regarding the huge changes in the practices and methods for providing nursing, medical, and spiritual care in massively prohibitive working environments. Examples of AI and robotic devices used during the pandemic will be covered in the spirit of constructive reflection and contemplation. The reported unpreparedness for an effective, efficient, and humane response to such major health disasters and hazards will be discussed, and suggestions for the future will be given. The training needs reported by health and social care workers will be analyzed in the light of the technological challenges they are required to cope with. © 2022 Elsevier Inc. All rights reserved.

9.
129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2046117

ABSTRACT

In northwest Florida, advanced manufacturing (AM) jobs far outpace the middle-skilled technician workforce, though AM constitutes almost a quarter of the region's total employment. From 2018-2028, of the available 4.6 million manufacturing jobs, less than half are likely to be filled due to talent shortages. This widening “skills gap” is attributed to many factors that range from new technologies in the AM industry (e.g., artificial intelligence, robotics), a need for newer recruiting methods, branding, and incentives in AM educational programs. Some professionals have even indicated that manufacturing industries and AM educational programs should be aligned more to reflect the needs of the industry. Even in the wake of Covid-19, when there have been over 658,000 manufacturing jobs lost due to market conditions, many states still have jobs that go unfilled further suggesting that there are challenges in filling AM technician positions. In a time when technicians in AM are in high demand and the number of graduates are in low supply, it is critical to identify whether AM education is meeting the needs of new professionals in the workforce and what they believe can be improved in these programs. This is especially true in rural locales, where economies with manufacturing industries are much more reliant on them. In the context of a NSF Advanced Technological Education (ATE), through a multi-method approach, we sought to understand: 1) Which AM competencies skills did participants report as benefiting them in gaining employment? 2) Which competencies are needed on the job to be a successful AM technician? 3) What are the ways in which AM preparation can be improved to enhance employment outcomes? This study's results will expand the research base and curriculum content recommendations for regional AM education, as well as build regional capacity for AM program assessment and improvement by replicating, refining, and disseminating study approaches through further research, annual AM employer and educator meetings, and annual research skill-building academies in which stakeholders transfer research findings to practices and policies that empower rural NW Florida colleges. To date, research efforts have demonstrated that competency perceptions of faculty, employers, and new professionals have notable misalignments that have opportunities for AM program curriculum revision and enhancement. This paper summarizes five years of research output, emphasizing the impactful findings and dissemination products for ASEE community members, as well as opportunities for further research. © American Society for Engineering Education, 2022.

10.
129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2044807

ABSTRACT

A first-year mandatory engineering project-based course aimed at developing an engineering mindset was taught through students engaging in active learning strategies built on the design-thinking framework by Ulrich and Eppinger. Course outcomes were achieved via students' participation in the fabrication of an autonomous robotic vehicle facilitated through practical hands-on activities, group discussions, and laboratory modules. Due to the COVID-19 pandemic, this formerly in-person course adopted a synchronous teaching model and used online instructional tools for lectures, group activities, and project support. The robotic project helped introduce students to engineering principles by employing multi-developmental phases for creating a robot. The teaching approach also provided students an engineering design experience while working in interdisciplinary teams with members serving unique engineering roles such as design, hardware, software, project, or testing lead. Students were required to design and fabricate a relevant prototype for stakeholders and, while doing so, learn and acquire essential competencies and skillsets relevant to engineering professions. Course methodology involved weekly assignments and the acquisition of project kits by individual students. The engineering mindset was assessed through content knowledge of inclusive modules in electronics, programming, 3D printing, innovation, and data analysis assignments. Learning outcomes include using software, hardware-based technologies, and research-based inquiries to design, fabricate, test, and improve an autonomous robot. Measurement of these outcomes was accomplished through course assessments, student evaluations, and the final project showcase results. This remote course structure fostered an engineering mindset, technical know-how, innovation and promoted essential competencies like teamwork, leadership, and critical thinking. Despite the pandemic-transformed pedagogy, students acquired relevant toolsets for manufacturing, synthesis, analysis, and technology that support engineering solutions. © American Society for Engineering Education, 2022.

11.
129th ASEE Annual Conference and Exposition: Excellence Through Diversity, ASEE 2022 ; 2022.
Article in English | Scopus | ID: covidwho-2044793

ABSTRACT

Designing a senior-level course that involves problem-based learning, including project completion task, is laborious and challenging. A well-designed project motivates the students to be self-learners and prepares them for future industrial or academic endeavors. The COVID-19 pandemic brought many challenges when instructions were forced to move either online or to a remote teaching/learning environment. Due to this rapid transition, delivery modes in teaching and learning modalities faced disruption making course design more difficult. The senior level Flight Controls course AME - 4513 is designed with Unmanned Aerial Systems (UAS) related projects for the students to have a better understanding of UAS usage on various applications in support of Advanced Technological Education (ATE) program. The purpose of this paper is to present the UAS lab modules in a junior level robotics lab, AME - 4802, which preceded the Flight Controls course in the school of Aerospace and Mechanical Engineering at the University of Oklahoma. Successfully completing the course project requires independent research and involves numerical simulations of UAS. The Robotics Lab course focuses on hands-on projects of robotic systems with an emphasis on semi-autonomous mobile robots, including an UAS introduction module. • The UAS module in the Robotics Lab class is introduced in Spring 2020. Therefore, most of the students enrolled in the Spring 2020 Robotics Lab course have introductory knowledge about the UAS system when taking the Fall 2020 Flight Control course. In addition, Spring 2020 Robotics Lab was affected due to COVID-19. • The UAS module was not introduced in 2019 Spring Robotics lab. Thus, the students enrolled in Fall 2019 Flight Controls course did not have prior knowledge on the UAS system. • We thus present the implementation of UAS module in a junior level robotics lab which preceded the senior level Flight Controls course in following Fall semester, when the same instructor taught the course. © American Society for Engineering Education, 2022.

12.
Annals of Oncology ; 33:S904-S905, 2022.
Article in English | EMBASE | ID: covidwho-2041538

ABSTRACT

Background: CSCC is highly immune-responsive;a prior pilot study demonstrated a high rate of pathologic complete response (pCR) or major pathologic response (MPR, ≤10% viable tumor), using cemiplimab anti-programmed death 1 (PD-1) therapy in the neoadjuvant setting. Here, we present the primary analysis of a confirmatory, open-label, multicenter, Phase 2, single-arm trial of neoadjuvant cemiplimab in pts with resectable Stage II–IV (M0) CSCC. Methods: Pts received cemiplimab 350 mg IV q3W for up to 4 doses before surgery. The primary endpoint was pCR rate per independent central pathologic review (ICPR). Key secondary endpoints included MPR rate per ICPR, objective response rate (ORR;complete response [CR] + partial response [PR]) per RECIST v1.1, investigator-assessed pCR and MPR, safety and tolerability. Results: At data cutoff date of 01 Dec 2021, 79 pts were enrolled (67 male;median age 73.0 yrs [range, 66.0–81.0];ECOG performance status 0 (n=60) and 1 (n=19) with stage II (n=5), III (n=38), or IV(M0) (n =36) disease;62 pts received all 4 doses (median number of doses given (Q1:Q3), 4 (4:4);70 pts underwent surgery. The study met its primary endpoint: pCR was observed in 40 (50.6%) pts (95% confidence interval [CI], 39.1–62.1%). MPR was observed in an additional 10 (12.7%) pts (95% CI, 6.2–22.0%). ORR was 68.4% (95% CI, 56.9–78.4) (5 CR, 49 PR, 16 stable disease, 8 progressive disease (PD), 1 non evaluable. Reasons 9 pts did not have surgery: 3 responders declined surgery, 2 lost to follow-up or noncompliance, 2 had inoperable PD, 2 due to AE. Fourteen (17.7%) pts experienced Grade ≥3 AE. Four pts died due to AEs: 1 exacerbation of cardiac failure, 2 myocardial infarctions, and 1 COVID-19 pneumonia. The most common AEs regardless of attribution (all grades) were fatigue (30.4%), rash maculo-papular (13.9%), diarrhea (13.9%) and nausea (13.9%). Conclusions: The pCR + MPR of 63.3% by ICPR in pts with Stage II–IV (M0) CSCC is the highest observed in a multicenter anti-PD-1 neoadjuvant monotherapy study for any solid tumor type. The safety profile of neoadjuvant cemiplimab is consistent with previous anti-PD-1 monotherapy experience. Ongoing follow-up will describe disease-free survival. Clinical trial identification: NCT04154943. Editorial acknowledgement: Medical writing support was provided by John G Facciponte, PhD, of Prime, Knutsford, UK, funded by Regeneron Pharmaceuticals, Inc., and Sanofi. Legal entity responsible for the study: Regeneron Pharmaceuticals, Inc., and Sanofi. Funding: Regeneron Pharmaceuticals, Inc., and Sanofi. Disclosure: N. Gross: Financial Interests, Personal, Research Grant: Regeneron Pharmaceuticals, Inc.;Financial Interests, Personal, Advisory Board: PDS Biotechnology, Shattuck Labs and Genzyme;Financial Interests, Personal, Advisory Role: PDS Biotechnology, Shattuck Labs and Genzyme. D.M. Miller: Financial Interests, Personal, Advisory Role: Castle Biosciences, EMD Serono, Merck KGaA, Merck Sharpe & Dome, Pfizer, Regeneron, Sanofi Genzyme;Financial Interests, Personal, Ownership Interest: Checkpoint Therapeutics;Financial Interests, Personal, Research Grant: Kartos Therapeutics, NeoImmune Tech, Inc., Regeneron Pharmaceuticals, Inc. N. Khushanlani: Financial Interests, Personal, Research Grant: Regeneron Pharmaceuticals, Inc., Bristol Myers Squibb, HUYA Bioscience International, Merck, Novartis, GlaxoSmithKline, Celgene, Amgen;Financial Interests, Personal, Advisory Board: EMD Serono, Regeneron Pharmaceuticals, Inc., Genentech, AstraZeneca (data safety monitoring committee), Merck, Array Biopharma, Jounce Therapeutics, Immunocore, Bristol Myers Squibb, HUYA Bioscience International;Financial Interests, Personal, Other, honoraria: Sanofi;Financial Interests, Personal, Stocks/Shares: Bellicum Pharmaceuticals, Mazor Robotics, Amarin, Transenetrix. V. Divi: Financial Interests, Institutional, Research Grant: Genentech. E.S. Ruiz: Financial Interests, Personal, Advisory Board: Genentech, Leo Pharmaceuticals, Regeneron Pharmaceuticals, Inc., Sanofi;Financial Int rests, Personal, Advisory Role, consulting fees: Genentech, Leo Pharmaceuticals, Regeneron Pharmaceuticals, Inc., Sanofi;Financial Interests, Personal, Member of the Board of Directors: Checkpoint Therapeutics. E.J. Lipson: Financial Interests, Personal, Other, Advisory board and consulting fees: Bristol Myers-Squibb, Eisai, Genentech, Immunocore, Instil Bio, MacroGenics, Merck, Natera, Nektar Therapeutics, Odonate Therapeutics, OncoSec, Pfizer, Rain Therapeutics, Regeneron, Sanofi;Financial Interests, Institutional, Research Grant: Bristol Myers Squibb, Merck, Regeneron. F. Meier: Financial Interests, Personal, Other, Travel support, speaker’s fees or advisor’s honoraria: Bristol Myers Squibb, Merck Sharp & Dohme, Novartis, Pierre Fabre, Roche and Sanofi;Financial Interests, Personal, Research Grant: Novartis and Roche. P.L. Swiecicki: Financial Interests, Institutional, Research Grant: Ascentage Pharma, Pfizer;Financial Interests, Personal, Advisory Board: Prelude Therapeutics, Elevar Therapeutics, Regeneron Pharmaceuticals. J.L. Atlas: Financial Interests, Personal, Advisory Role: Regeneron Pharmaceuticals, Inc., Sanofi, and Bristol Myers Squibb. J.L. Geiger: Financial Interests, Institutional, Research Grant: Alkermes, Debio, Merck, Regeneron Pharmaceuticals, Inc., and Roche/Genentech;Financial Interests, Personal, Advisory Role: Exelixis, Merck and Regeneron Pharmaceuticals, Inc. A. Hauschild: Financial Interests, Personal and Institutional, Other, Institutional grants, speaker’s honoraria and consultancy fees: Amgen, Bristol Myers Squibb, Merck Sharp & Dohme, Novartis, Pierre Fabre, Provectus and Roche;Financial Interests, Institutional, Other, Institutional grants and consultancy fees: EMD Serono, Philogen and Regeneron Pharmaceuticals, Inc.;Financial Interests, Personal, Advisory Role: OncoSec Medical. J.H. Choe: Financial Interests, Personal, Advisory Role: Exelixis, Coherus Biosciences, Regeneron Pharmaceuticals, Inc. B.G.M. Hughes: Financial Interests, Personal, Advisory Role: AstraZeneca, Bristol Myers Squibb, Eisai, Merck Sharp & Dohme, Pfizer and Roche;Financial Interests, Institutional, Research Grant: Amgen. S. Yoo: Financial Interests, Personal, Full or part-time Employment: Regeneron Pharmaceuticals, Inc.;Financial Interests, Personal, Stocks/Shares: Regeneron Pharmaceuticals, Inc. K. Fenech: Financial Interests, Personal, Full or part-time Employment: Regeneron Pharmaceuticals, Inc.;Financial Interests, Personal, Stocks/Shares: Regeneron Pharmaceuticals, Inc. M.D. Mathias: Financial Interests, Personal, Full or part-time Employment: Regeneron Pharmaceuticals, Inc.;Financial Interests, Personal, Stocks/Shares: Regeneron Pharmaceuticals, Inc. H. Han: Financial Interests, Personal, Full or part-time Employment: Regeneron Pharmaceuticals, Inc.;Financial Interests, Personal, Stocks/Shares: Regeneron Pharmaceuticals, Inc. M.G. Fury: Financial Interests, Personal, Full or part-time Employment: Regeneron Pharmaceuticals, Inc.;Financial Interests, Personal, Stocks/Shares: Regeneron Pharmaceuticals, Inc. D. Rischin: Financial Interests, Institutional, Research Grant: Regeneron Pharmaceuticals, Inc., Genentech, Sanofi, Kura Oncology, Roche, Merck Sharp & Dohme, Merck KGaA, Bristol Myers Squibb, GlaxoSmithKline, ALX Oncology;Financial Interests, Personal, Advisory Role: Merck Sharp & Dohme, Regeneron Pharmaceuticals, Inc., Sanofi, GlaxoSmithKline, Bristol Myers Squibb;Financial Interests, Personal, Advisory Board: Merck Sharp & Dohme, Regeneron Pharmaceuticals, Inc., Sanofi, GlaxoSmithKline, Bristol Myers Squibb. All other authors have declared no conflicts of interest.

13.
IEEE Robotics & Automation Magazine ; 29(3):8, 2022.
Article in English | ProQuest Central | ID: covidwho-2037840

ABSTRACT

Having witnessed the nearly five thousand participants gathered in Philadelphia for the IEEE International Conference on Robotics and Automation (ICRA) 2022, I think it’s safe to say that in-person meetings are emphatically back. It’s true that the coronavirus continues to evolve and still stubbornly refuses to go away, and many travel restrictions across borders remain in place. Still, after more than two years of meeting remotely, the chance to have informal conversations in the hallway with speakers, to connect with both old and new friends outside meetings, and to disconnect from the distractions of daily life and rituals were, especially for me, too much to pass up. To the organizers and volunteers who organized such a tremendously successful event through the uncertainty and challenges of the pandemic, let me express my deep gratitude on behalf of the entire robotics community.

14.
IEEE Robotics & Automation Magazine ; 29(3):157-164, 2022.
Article in English | ProQuest Central | ID: covidwho-2037839

ABSTRACT

Welcome again to the “Student’s Corner” column. This year brings to us a gradual transition between the online activities resulting from COVID-19 and in-person meetings. We finally had the ability to attend to the IEEE International Conference on Robotics and Automation (ICRA) in person. It was an impressive conference, not only for the number of participants and the sponsors that the organizers were able to attract but also for the opportunities available to early researchers in the IEEE Robotics and Automation Society (RAS). We broke several records at the conference, beginning with the sponsors, extending to the number of people attending (8,004, with 4,709 joining in person) and reaching a total of 1,458 papers that students and researchers were eager to present after three years of pandemic and online meetings. We, the RAS Student Activities Committee (SAC), are excited by the large presence of early career researchers: 48% of the in-person participants were students. From these numbers, it is clear that the Society is expanding and that there is increasing interest in the field from new generations.

15.
IEEE Robotics & Automation Magazine ; 29(3):4-6, 2022.
Article in English | ProQuest Central | ID: covidwho-2037838

ABSTRACT

After two years of virtual conferences, the annual flagship conference of the IEEE Robotics and Automation Society (RAS), the IEEE International Conference on Robotics and Automation (ICRA), has returned in person. When I attended ICRA in Philadelphia in May, I felt excitement in the air when people greeted each other and friends shook hands and hugged each other. It was not easy for professors, students, industry practitioners, and other attendees traveling from all around the world to be under one roof, while the COVID-19 pandemic has not fully settled into its endemic stage. With more than 4,700 in-person participants, nearly half of whom were students, this year’s conference was the largest and youngest one ever in ICRA history.

16.
Journal of Pediatric Endoscopic Surgery ; 4(3):97-98, 2022.
Article in English | EMBASE | ID: covidwho-2031057
17.
Robotics ; 11(4):84, 2022.
Article in English | ProQuest Central | ID: covidwho-2024032

ABSTRACT

With the rapid development of robotics and in-depth research of automatic navigation technology, mobile robots have been applied in a variety of fields. Map construction is one of the core research focuses of mobile robot development. In this paper, we propose an autonomous map calibration method using visible light positioning (VLP) landmarks and Simultaneous Localization and Mapping (SLAM). A layout map of the environment to be perceived is calibrated by a robot tracking at least two landmarks mounted in the venue. At the same time, the robot’s position on the occupancy grid map generated by SLAM is recorded. The two sequences of positions are synchronized by their time stamps and the occupancy grid map is saved as a sensor map. A map transformation method is then performed to align the orientation of the two maps and to calibrate the scale of the layout map to agree with that of the sensor map. After the calibration, the semantic information on the layout map remains and the accuracy is improved. Experiments are performed in the robot operating system (ROS) to verify the proposed map calibration method. We evaluate the performance on two layout maps: one with high accuracy and the other with rough accuracy of the structures and scale. The results show that the navigation accuracy is improved by 24.6 cm on the high-accuracy map and 22.6 cm on the rough-accuracy map, respectively.

18.
Robotics ; 11(4):69, 2022.
Article in English | ProQuest Central | ID: covidwho-2024031

ABSTRACT

In the spirit of innovation, the development of an intelligent robot system incorporating the basic principles of Industry 4.0 was one of the objectives of this study. With this aim, an experimental application of an industrial robot unit in its own isolated environment was carried out using neural networks. In this paper, we describe one possible application of deep learning in an Industry 4.0 environment for robotic units. The image datasets required for learning were generated using data synthesis. There are significant benefits to the incorporation of this technology, as old machines can be smartened and made more efficient without additional costs. As an area of application, we present the preparation of a robot unit which at the time it was originally produced and commissioned was not capable of using machine learning technology for object-detection purposes. The results for different scenarios are presented and an overview of similar research topics on neural networks is provided. A method for synthetizing datasets of any size is described in detail. Specifically, the working domain of a given robot unit, a possible solution to compatibility issues and the learning of neural networks from 3D CAD models with rendered images will be discussed.

19.
Electronics ; 11(16):2613, 2022.
Article in English | ProQuest Central | ID: covidwho-2023303

ABSTRACT

The present work is focused on the development of a Virtual Environment as a test system for new advanced control algorithms for an Unmanned Aerial Vehicles. The virtualized environment allows us to visualize the behavior of the UAV by including the mathematical model of it. The mathematical structure of the kinematic and dynamic models is represented in a matrix form in order to be used in different control algorithms proposals. For the dynamic model, the constants are obtained experimentally, using a DJI Matrice 600 Pro UAV. All of this is conducted with the purpose of using the virtualized environment in educational processes in which, due to the excessive cost of the materials, it is not possible to acquire physical equipment;moreover, is it desired to avoid damaging them. Finally, the stability and robustness of the proposed controllers are determined to ensure analytically the compliance with the control criteria and its correct operation.

20.
Designs ; 6(4):66, 2022.
Article in English | ProQuest Central | ID: covidwho-2023245

ABSTRACT

This paper describes the evolution of the Assistant Personal Robot (APR) project developed at the Robotics Laboratory of the University of Lleida, Spain. This paper describes the first APR-01 prototype developed, the basic hardware improvement, the specific anthropomorphic improvements, and the preference surveys conducted with engineering students from the same university in order to maximize the perceived affinity with the final APR-02 mobile robot prototype. The anthropomorphic improvements have covered the design of the arms, the implementation of the arm and symbolic hand, the selection of a face for the mobile robot, the selection of a neutral facial expression, the selection of an animation for the mouth, the application of proximity feedback, the application of gaze feedback, the use of arm gestures, the selection of the motion planning strategy, and the selection of the nominal translational velocity. The final conclusion is that the development of preference surveys during the implementation of the APR-02 prototype has greatly influenced its evolution and has contributed to increase the perceived affinity and social acceptability of the prototype, which is now ready to develop assistance applications in dynamic workspaces.

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