The IEEE World Congress on Computational Intelligence (IEEE WCCI) is the world’s largest technical event in the field of computational intelligence and takes place in Glasgow, UK from 19th to 24th July 2020.
In this prestigious lecture, Prof Jian Dai will introduce the theoretical development and the technological innovation in robotics, and present the reconfigurable mechanisms and robots that are entailed by kinematics.
Our manufacturing sector has for many years suffered from lack of investment and a perceived lack of importance to the UK economy. This is the opportunity to build back better by reinvigorate manufacturing and generating a prosperous economy both for today and future generations.
A RAS Chapter Prestigious Lecture, Presented by Prof Huiyu Zhou, University of Leicester, Cosponsored by Computational Intelligence Chapter.
The lecture will review the AI robotics roadmap for space missions and what’s over the horizon. It will also present some latest research work and technology development involving robotic vision, machine learning and biomimetic mechanisms, applicable to mission scenarios such as formation flying, on-obit assembly, active debris removal, planetary sample return and ISRU.
Robotics and Autonomous Systems (RAS) are playing a central role in developing innovative tools that help us address various global challenges. Now, we cordially invite universities and industry interested in RAS to attend the conference and share your expertise and promote the development of RAS.
he 5th IEEE-RAS International Conference on Soft Robotics deals with the theme of “Soft Robots for the Planet”, presenting the most recent progress in the various fields of soft robotics and discussing new science, new technologies and new opportunities for the design, development and application of “green” soft robots for Earth’s safeguard, human healthcare and the improvement of the quality of life.
COVID-19 is a pandemic disease that caused more than 6.59 million deaths as of 30th October 2022. Traditional manual labelling of CT-based scans is tedious. To solve the problem, intelligent automation methods, such as transfer learning, graph neural networks, attention neural networks and weakly supervised networks can be employed.
This event will see our students go head-to-head to win a grand prize, judged by a panel of academics and industry experts. Come support the various teams taking in this challenge.
RAS 2023 invites academics and professionals from the robotics and automation industry (RAS) to come together to share our research and innovations in RAS, and explore future trends in RAS, and foster collaboration between academia and industry.