Professor Pietro Valdastri, Chair in Robotics and Autonomous Systems at the University of Leeds and Director of STORM Lab UK is one of the featured speakers for the IEEE 2021 ICRA hosted in Xi’an China, giving a talk for the Plenary event. The video for ‘Medical Capsule Robots: A Fantastic Voyage’ followed by a […]
We are pleased to announce Professor Pietro Valdastri, Chair in Robotics and Autonomous Systems at the University of Leeds, is one of the featured speakers of the Hamlyn Symposium on Medical Robotics 2021 (#HSMR21). Professor Valdastri gave a talk on ‘Medical Capsule Robots: A Fantastic Voyage’ followed by a Q&A session.https://www.youtube.com/watch?v=GzJy4GVxh08 The keynote can be […]
In our quest towards highly dexterous magnetic tentacle robots to reach deeper inside the human body and perform surgery, we realised that extremely soft continuum magnetic manipulators experience relevant twisting when interacting with controlling external magnetic fields and field gradients. So, if we want to precisely control their shape and avoid twisting, we need to […]
STORMLAB featured in the version of the June 8th issue of New Electronics magazine, showing a robotic surgery front cover and accompanying article by Neil Tyler in which Dr Pietro Valdastri was quoted. See the issue here: https://www.newelectronics.co.uk/newelectronics-digital-magazine/14816
Researchers are investigating whether a kinder form of radiation known as T-rays could be used to image and treat patients with skin or bowel cancer. See more at the University of Leeds health news article: https://www.leeds.ac.uk/news/article/4833/t-rays_could_revolutionise_cancer_treatment
Thanks to the effort of Andrew Jackson from Mech Eng at Uni Leeds, a simplified version of our robotic colonoscopy platform is now on display at the Thackray Medical Museum. The exhibit allows visitors to control a robot arm to steer a magnetic capsule in order to detect polyps inside a simulated colon. The Thackray […]
Starting from the autonomotive field, the topic of autonomy in robotics has been largely debated by the research community. In particular, the last 20 years have seen the rise of autonomous surgical robots as a result of an increasing interest by the community and the availability of robotic research platform. In this paper, starting from […]
Soft continuum manipulators, inspired by nature, facilitate motion within complex environments where traditional rigid robots may be ineffective. This has driven demand for new control schemes designed to precisely control these highly flexible manipulators, whose kinematics may be sensitive to external loads, such as gravity. In this paper, published in the International Journal of Robotics […]
In this paper, we review the state of flexible gastrointestinal endoscopy during COVID-19 and the significant changes that it has undergone over the last few months. One of the most challenging aspects has been related to potential generation of aerosols during endoscopy procedures and how this presents an increased risk to healthcare workers. This resulted […]
This paper compares the performance of three different neural network structures based on the U-Net for tissue segmentation. The models subject of this study comprise temporal layers such as Long Short Term Memory cells and Attention Gate block. Results show that the model benefits from the implementation of temporal layers along with attention-based layers, even […]