Fuzzy Control of the Robotic Arm for a Smart Electric Wheelchair to Assist People with Movement Disabilities

Pana, Cristina; Patrascu-Pana, Daniela Maria; Vladu, Ionel Cristian; Manta, Liviu Florin; Petcu, Florina-Luminita Besnea; Cismaru, Stefan-Irinel; Trasculescu, Andrei Costin

doi:10.1109/iccc51557.2021.9454626

Cited by 6 publications

(3 citation statements)

References 4 publications

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“…Use in Cardiac surgery, laparoscopic surgery, neurosurgery, orthopedic surgery, ophthalmic surgery, (cost  1,3M€) [121].…”

Section: Images Descriptionmentioning

confidence: 99%

Robotics Application in the Hospital Domain: Operator-Patient- Robot Interface

Cruz,

Oliveira,

Correia

2024

Preprint

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Robotic systems are increasingly being used in healthcare to improve patient care and support healthcare professionals. These robots are especially effective at performing repetitive tasks. In complex cancer cases, robots can enhance surgical precision and efficiency, resulting in reduced pain for patients and a lower risk of complications. Robot-assisted surgery offers high-quality 3D imaging, improved clarity, and increased efficiency. This review paper examines the application of Artificial Intelligence (AI) and robotic systems in the healthcare domain, specifically focusing on the interaction among operators, patients, and robots. The goal is to promote collaboration and improve healthcare provision through human-robot interaction. We considered already published articles by relevance, to identify the primary safety issues that need addressing for the integration of AI and robots in hospitals. Concluding with insights into understanding the focal points of social errors in Human-Robot Interaction (HRI) is crucial for mitigating these errors. While current technologies have reached a certain level of maturity, there are still numerous challenges in utilizing robot-assisted clinical practice, including technological, safety, clinical, financial, insurance, psychological, social, ethical, and legal issues. In addition, there is an urgent issue that needs to be addressed: the alignment of values in artificial intelligence, ensuring that AI systems reflect ethical principles and human values is crucial to avoid negative consequences such as bias, discrimination, and prejudicial decisions. Resolving this complex issue requires collaboration among clinical staff, researchers, programmers, and political decision-makers from various fields.

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“…Use in Cardiac surgery, laparoscopic surgery, neurosurgery, orthopedic surgery, ophthalmic surgery, (cost  1,3M€) [121].…”

Section: Images Descriptionmentioning

confidence: 99%

Robotics Application in the Hospital Domain: Operator-Patient- Robot Interface

Cruz,

Oliveira,

Correia

2024

Preprint

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“…The authors claimed that the proposed system has improved learning efficiency, enhanced prediction accuracy, and been implemented effectively. The authors in [15], [16] used a fuzzy-based approach in robotics. Panǎ et al [15], the authors used fuzzy to control robotic arms for a smart electric wheelchair to assist people with movement disabilities.…”

Section: Introductionmentioning

confidence: 99%

“…The authors in [15], [16] used a fuzzy-based approach in robotics. Panǎ et al [15], the authors used fuzzy to control robotic arms for a smart electric wheelchair to assist people with movement disabilities. The authors claimed that the fuzzy controller allowed the robotic arms to control desired tasks.…”

Section: Introductionmentioning

confidence: 99%

Optimizing irrigation for boosting gynura procumbens growth in Malaysia urban area

Salim

Hanafi

Shafie

et al. 2022

IJEECS

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<p><span>Growing herbs traditionally could not meet the increasing demand for high medicinal value herbs in the pharmaceutical industry and domestic market. One of the solutions is by growing herbs using vertical structures in urban areas. Even so, the amount of water needed to optimise the growth of Asian local perennial herbs in vertical structures is yet to be explored. Hence, this paper investigated the performance of a fuzzy based irrigation method in optimising irrigation for boosting the local perennial herb growth. The understudy local perennial herb is Gynura Procumbens. The decision-making for irrigation relies on the data given by soil moisture, temperature, and humidity sensors. The performance of the proposed system is compared with a timer-based system, in terms of plant growth rates, given by average leaves diameter, height, and plant crown of local perennial herbs. The results have shown that the proposed intelligent irrigation system has reduced water consumption by 16.93% and the average plant growth rate has increased by at least 1.5% and to a maximum rate of 76.64%.</span></p>

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