Design and Experimental Study of a Robotic System for Target Point Manipulation in Breast Procedures

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Yayımlandı:Robotics vol. 14, no. 6 (2025), p. 78-106
Yazar: Li, Bing
Diğer Yazarlar: Muzzammil Hafiz Muhammad, Zhu Junwu, Yuan Lipeng
Baskı/Yayın Bilgisi:
MDPI AG
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024 7 |a 10.3390/robotics14060078  |2 doi 
035 |a 3223940192 
045 2 |b d20250101  |b d20251231 
084 |a 231629  |2 nlm 
100 1 |a Li, Bing  |u College of Information Engineering, Yangzhou University, Yangzhou 225127, China; jwzhu@yzu.edu.cn 
245 1 |a Design and Experimental Study of a Robotic System for Target Point Manipulation in Breast Procedures 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a To achieve obstacle-avoiding puncture in breast interventional surgery, a robotics system based on three-fingered breast target-point manipulation is proposed and designed. Firstly, based on the minimum number of control points required for three-dimensional breast deformation control and the bionic structure of the human hand, the structure and control scheme of the robotics system based on breast target-point manipulation are proposed. Additionally, the workspace of the robotics system is analyzed. Then, an optimal control point selection method based on the minimum resultant force principle is proposed to achieve precise manipulation of the breast target point. Concurrently, a breast soft tissue manipulation framework incorporating a Model Reference Adaptive Control (MRAC) system is developed to enhance operational accuracy. A dynamic model of breast soft tissue is developed by using the manipulative force–displacement data obtained during the process of manipulating breast soft tissue with mechanical fingers to realize the manipulative force control of breast tissue. Finally, through simulation and experiments on breast target-point manipulation tasks, the results show that this robotic system can achieve spatial control of breast positioning at arbitrary points. Meanwhile, the robotic system proposed in this study demonstrates high-precision control with an accuracy of approximately 1.158 mm (standard deviation: 0.119 mm), fulfilling the requirements for clinical interventional surgery in target point manipulation. 
653 |a Robotics 
653 |a Accuracy 
653 |a Patients 
653 |a Air bags 
653 |a Womens health 
653 |a Trauma 
653 |a Model reference adaptive control 
653 |a Bionics 
653 |a Minimally invasive surgery 
653 |a Biopsy 
653 |a Medical research 
653 |a Robots 
653 |a Soft tissues 
653 |a Control systems 
653 |a Breast 
653 |a Tissues 
653 |a Optimal control 
653 |a Deformation 
653 |a Surgery 
653 |a Dynamic models 
653 |a Obstacle avoidance 
653 |a Breast cancer 
700 1 |a Muzzammil Hafiz Muhammad  |u Department of Mechanical and Aerospace Engineering, Air University, E-9, Islamabad 44000, Pakistan; 1810100011@stu.hrbust.edu.cn 
700 1 |a Zhu Junwu  |u College of Information Engineering, Yangzhou University, Yangzhou 225127, China; jwzhu@yzu.edu.cn 
700 1 |a Yuan Lipeng  |u Harbin Institute of Technology, School of Mechatronics Engineering, Harbin 150001, China; hitylp@126.com 
773 0 |t Robotics  |g vol. 14, no. 6 (2025), p. 78-106 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
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856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3223940192/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch