Medical Robotics
Medical robotics focuses on developing advanced robotic systems for surgical assistance, rehabilitation, and enhancing patient care through improved precision and efficiency.
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Medical Robotics in Mechatronics
Medical robotics refers to the application of robotic technologies to assist in medical procedures, enhancing the capabilities of healthcare professionals and improving patient outcomes. These robots are designed to perform tasks with precision, flexibility, and minimally invasive techniques, reducing human error and recovery times.
There are several types of medical robots:
1.Surgical robots: These robots assist surgeons in performing complex surgeries with high precision. Systems like the da Vinci Surgical System allow for minimally invasive procedures through small incisions, leading to faster recovery and reduced complications.
2.Robotic prosthetics: These devices replace missing or damaged limbs and offer greater mobility and functionality through advanced control systems that respond to user movements.
3.Rehabilitation robots: These are used to help patients recover motor skills after injuries or strokes. They can assist with repetitive movement exercises, promoting recovery and physical therapy.
4.Robotic exoskeletons: Wearable robotic suits designed to assist people with mobility impairments, enabling them to stand or walk again by providing mechanical support.
5.Robotic diagnostic systems: Robots are used in medical imaging and diagnostic tasks, such as assisting in biopsies or navigating medical scans for accurate diagnoses.
Medical robots offer benefits like improved precision, reduced patient trauma, shorter recovery times, and the ability to perform procedures remotely (tele-surgery). They also allow for minimally invasive techniques, enhancing the quality of care and safety during surgery. Additionally, artificial intelligence (AI) and machine learning are increasingly integrated into these systems, helping robots learn from data and improve their functionality over time.
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Related Publications
A. Safdari, A. Mansouri, M. J. Fazli, P. Zarafshan, K. Alipour, B. Tarvirdizadeh. PID Controller Design for a Mechatronic System using Lion Optimization Algorithm. 2025 Fifth National and the First International Conference on Applied Research in Electrical Engineering (AREE), vol. _, no. _, pp. 1-7, 2025.
A. Javadi, K. Alipour, M. A. Najafqolian, B. Tarvirdizadeh, M. Ghamari. Dynamic Model-Free Reinforcement Learning Strategies for Achieving Nash Equilibrium in Graphical Games with Communication Challenges. 2024 12th RSI International Conference on Robotics and Mechatronics (ICRoM), vol. _, no. _, pp. 555-561, 2024.
M. Olyai, K. Alipour, B. Tarvirdizadeh, M. Sorouri, M. Ghamari. Trajectory Tracking of Tractor-Trailer Wheeled Mobile Robots via Dynamic Feedback Linearization in Forward and Backward Motion. 2024 10th International Conference on Control, Instrumentation and Automation (ICCIA), vol. _, no. _, pp. 1-6, 2024.
K. P. Abrisham, K. Alipour, B. Tarvirdizadeh, M. Ghamari. Deep Learning-Based Estimation of Arterial Stiffness from PPG Spectrograms: A Novel Approach for Non-Invasive Cardiovascular Diagnostics. 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), vol. _, no. _, pp. 1-7, 2024.
Y. Hasanpoor, A. Rostami, B. Tarvirdizadeh, K. Alipour, M. Ghamari. Real-Time Stress Detection via Photoplethysmogram Signals: Implementation of a Combined Continuous Wavelet Transform and Convolutional Neural Network on Resource-Constrained …. 2024 32nd International Conference on Electrical Engineering (ICEE), vol. _, no. _, pp. 1-5, 2024.
