Talk Title: AI-Driven Medical Robotics: Enhancing Surgical Precision and Patient Outcomes Talk Abstract: The field of surgery is being revolutionized by Artificial Intelligence and robotics, offering innovative solutions for both diagnosis and assistance during procedures. This seminar will provide examples of AI application for the automated diagnosis of surgical diseases, exploring how advanced algorithms can...
Abstract: Advanced surgical technologies, like digital ORs and robotics, generate vast data for enhancing patient care. However, leveraging this data efficiently during surgery, a complex and time-sensitive process, remains heavily reliant on surgical staff experience. This talk focuses on AI-powered robotic surgery with a specific focus on analysis of intraoperative video data. The goal is...
Talk Title: Coping with medical microrobotics challenges: novel fabrication, control and imaging paradigms Talk Abstract: Medical micro- and nanorobots have been demonstrated for a variety of non-invasive biomedical applications. However, most of these demonstrations have been carried out in in vitro settings and under optical microscopy, being significantly different from the clinical practice. Better control and imaging...
Robotics at Leeds will be holding a full day workshop on Friday 13th December 2024. This is a chance to engage with members from across the network, and to find out about the exciting work in robotics underway at the University of Leeds and beyond. The day will include a PGR poster competition with lightning...
Abstract: My research spans device-enabled approaches to assist or augment dynamic organs. Broadly, we look at improving structural repair, active assistance and delivery of biological therapy. This seminar will focus on representative implantable devices that we have worked on in each of these three areas, each addressing an identified shortcoming of existing technologies. In terms...
Speaker 1: Joshua Davy (STORM Lab, University of Leeds) Title: Design Simulation and Control of Miniaturised Magnetic Vine Robots Bio: Josh is a PhD student at the University of Leeds in the STORM lab under the supervision of Pietro Valdastri. His research focuses on magnetic continuum robots for surgical applications. He holds a MSc degree in Robotics from the University ofLincoln, a BEng in Robotics from the University of Leeds and...
Abstract: Why is deformable object manipulation (DOM) challenging? In this talk, I will discuss key challenges in DOM and present the approaches I have developed to address them. I will also highlight promising applications of DOM, ranging from managing cable harnesses in industrial settings to assistive dressing for domestic robots. Bio: Jihong Zhu is a lecturer in...
Abstract: Soft robots, composed primarily of pliable materials, exhibit mechanically robust manoeuvres that surpass the capabilities of conventional rigid robotic systems. However, the design and control of these innovative robots are often hindered by current simulation limitations, necessitating laborious trial-and-error processes. This seminar will introduce state-of-the-art numerical tools designed to enhance the dynamic simulation and...
Speaker 1: Ahmet Arif Colakoglu (Healthcare Mechatronics Lab, University of Leeds) Bio: PhD candidate. His research focuses on the design and development of a soft robotic wearable helmet aimed at mitigating syndromic forms ofcraniosynostosis. With a background in industrial engineering and a master’s degree in quantitative methods, his work integrates advanced soft robotics and healthcare technology to offer non-invasive and cost-effective treatment alternatives. Ahmet’s previous...
Bio: Sophia Bano is an Assistant Professor in Robotics and Artificial Intelligence at the UCL Department of Computer Science and also part of the Surgical Robot Vision (SRV) Group at Wellcome/EPSRC Centre for Interventional and Surgical Science (WEISS), Centre for Artificial Intelligence and UCL Robotics Institute at University College London (UCL). Her work focuses on developing computer vision and AI...
