A5082014108- Soft Robotics and Applications
- Robotic Mechanisms and Dynamics
- Stroke Rehabilitation and Recovery
- Prosthetics and Rehabilitation Robotics
- Surgical Simulation and Training
- Muscle activation and electromyography studies
- Augmented Reality Applications
- Anatomy and Medical Technology
- Robot Manipulation and Learning
- Advanced Radiotherapy Techniques
- Minimally Invasive Surgical Techniques
- Botulinum Toxin and Related Neurological Disorders
- Manufacturing Process and Optimization
- Hepatocellular Carcinoma Treatment and Prognosis
- Robotic Path Planning Algorithms
- Space Satellite Systems and Control
- Advanced Numerical Analysis Techniques
- Liver physiology and pathology
- Modular Robots and Swarm Intelligence
- Engineering Technology and Methodologies
- Prostate Cancer Diagnosis and Treatment
- Robotics and Sensor-Based Localization
- Advanced Measurement and Metrology Techniques
- Radiomics and Machine Learning in Medical Imaging
- Iterative Learning Control Systems
Technical University of Cluj-Napoca
2016-2025
Spitalul Clinic Colentina
2024
Università degli studi di Cassino e del Lazio Meridionale
2018
Background: Cerebrovascular accident, commonly known as stroke, Parkinson’s disease, and multiple sclerosis represent significant neurological conditions affecting millions globally. Stroke remains the third leading cause of death worldwide significantly impacts patients’ hand functionality, making rehabilitation crucial for improving quality life. Methods: A comprehensive literature review was conducted analyzing over 300 papers, categorizing them based on mechanical design, mobility,...
This paper presents the design of an innovative robotic system for lower limb post-stroke rehabilitation bed confined patients during acute stage treatment. To establish particularities each targeted joint motion, experimental measurements are performed on healthy subjects. The acquired data is used to determine operational workspace, namely limits anatomic joints motion limb. Based prescribed parallel architecture designed achieving A detailed kinematic modelling and analysis carried out...
Single-incision surgery is a complex procedure in which any additional information automatically collected from the operating field can be of significance. While use robotic devices has greatly improved surgical outcomes, there are still many unresolved issues. One major complications, with higher occurrence cancer patients, intraoperative hemorrhages, if detected early, more efficiently controlled.This paper proposes hazard detection system incorporates advantages both Artificial...
The paper presents the mathematical modeling and analysis of LegUp, a novel parallel robotic system for lower limb rehabilitation bedridden patients. operational workspace is defined based on set parameters that describe motion joints, which natural in task. To comply with this representation workspace, robot kinematic models dependency between actuators joints. Furthermore, singularity achieved joint space, shows whether singularity-free. achieve feasible mechanical design prescribed to...
A few decades ago, robotics started to be implemented in the medical field, especially rehabilitation of patients with different neurological diseases that have led neuromuscular disorders. The main concern regarding robots is their safety assurance environment. goal this paper assess risk a robotic system for elbow and wrist terms robot patient safety. approached assessment follows ISO12100:2010 management chart order determine, identify, estimate, evaluate possible can occur during use...
Robots for rehabilitation tasks require a high degree of safety the interaction with both patients and operators. In particular, is stable intuitive control moving elements system combined an external sensors able to monitor position every aspect (operator, robot, patient) overcome in certain measure all events that may occur during robotic procedure. This paper presents development internal torque monitoring ASPIRE. parallel robot designed shoulder rehabilitation, which enables use...
The research aimed to evaluate the efficacy of NeuroAssist, a parallel robotic system comprised three modules equipped with human-robot interaction capabilities, an internal sensor for torque monitoring, and external real-time patient monitoring motor rehabilitation shoulder, elbow, wrist. study enrolled 10 consecutive patients right upper limb paresis caused by stroke, traumatic spinal cord disease, or multiple sclerosis admitted Neurology I Department Cluj-Napoca Emergency County Hospital....
Robot-assisted minimally invasive surgery offers advantages over traditional laparoscopic surgery, including precision and improved patient outcomes. However, its complexity requires extensive training, leading to the development of simulators that still face challenges such as limited feedback lack realism. This study presents an augmented reality-based surgical simulator tailored for pancreatic integrating innovative parallel robot, real-time AI-driven force estimation, haptic feedback....
Robotic-assisted motor rehabilitation has seen significant development over the past decade, driven by distinct advantages that robots offer in this medical task. A key aspect of robotic-assisted is ensuring performed exercises are safely planned (i.e., without risk patient injury or anatomic joint strain). This paper presents a new numerical approach to trajectory planning for LegUp parallel robot designed lower limb rehabilitation. The proposed generates S-shaped motion profiles, also...
Background: Laparoscopic pancreatic surgery demands high precision and minimal invasiveness, yet conventional robotic systems often face challenges due to complex anatomical environments uncertainties inherent in surgical procedures. Optimizing key design parameters such as the Remote Center of Motion (RCM) link lengths is critical for enhancing workspace accessibility instrument maneuverability. Methods: An integrated optimization framework combining genetic algorithms (GA) with fuzzy logic...
Recently, robotic-assisted stroke rehabilitation became an important research topic due to its capability provide complex solutions perform the customized motion with enhanced resources than traditional rehabilitation. Involving robotic devices in process would increase number of possible rehabilitated patients, but placing patient inside workspace robot causes a series risks that needs be identified, analyzed and avoided. The goal this work is reliable solution for upper limb structure...
Motor disability is a key feature of many neurological diseases, influencing the social roles affected patients and their ability to perform daily life activities. Current rehabilitation capacities are overwhelmed by age-related increase motor dysfunctions seen, for example, in stroke, extrapyramidal or neuromuscular diseases. As patient personnel ration increases, robotic solutions might establish possibility rapidly satisfy increasing demand rehabilitation. This paper presents an inaugural...
This paper presents a study regarding the design and experimental setup of medical robotic system for brachytherapy using tribology analysis. The is composed collaborative arm multi-needle instrument controlled unified control embedding haptic device force-feedback. work oriented towards identifying technical characteristics components to determine accuracy procedure, as well different scenarios needle insertion in ex vivo porcine liver tissue order forces required extraction friction...
In recent years, there has been an expansion in the development of simulators that use virtual reality (VR) as a learning tool. surgery where robots are used, VR serves revolutionary technology to help medical doctors train using these robotic systems and accumulate knowledge without risk. This article presents study which is used create simulator designed for robotically assisted single-uniport surgery. The control surgical system achieved voice commands laparoscopic camera positioning via...