Quadrupedal Robot for Visually-Impaired People Assistance
Join us for our upcoming Future Computing Seminar Series
Speaker: Dr. Michele Magno, ETH Zurich
Date: March 15th, 2023, 09:00 CET
Where: HG E 22
Abstract:
Smart sensors are embedded devices that not only can sense, but also extract useful information from the data and take decision and communicate often wirelessly to other devices. Sensing, thinking, controlling and communicating have all been greatly miniaturized as a consequence of continuous progress in integrated circuit design and manufacturing technology. The project-based learning group concentrates on improving both the intelligence by exploiting novel sensors and sensors fusion and efficiency and lower latency enabling more intelligent and autonomous, also in terms of power supply, embedded systems of the future. The group works on systems, architectures, tools, and methodologies of intelligence wireless embedded systems as well as their applications in real-world scenarios and deployments. Due to this focus, the group enables cooperation with a wide range of interdisciplinary research areas where energy-efficient embedded systems are crucial. In this talk, Dr. Magno will present an overview of activities of the energy efficient and intelligent embedded systems for different application scenarios such as industrial monitoring, wearable electronics, surveillance, autonomous robots among others. In particular, the second part of the talk will show the progress and current achievement of the design and development of a Quadrupedal Robot for Impaired People Assistance developed. The presentation will end with a demo.
Speaker Bio:
Dr. Michele Magno is a Senior Scientist at ETH Zurich, Switzerland and Head of the Project-Based Learning Center at ETH Zurich. He received his Masters and Ph.D. degrees in electronic engineering from the University of Bologna, Italy, in 2004 and 2010 respectively. After 2 years of postdoc at Tyndall Institute Ireland, and University College Cork in Ireland, he joined ETH Zurich in 2013. The most important themes of his research are on wireless sensor networks, wearable devices, machine Learning at the edge, energy harvesting, low power management techniques and extension of lifetime of batteries-operating devices. He has collaborated with several universities and research centers, such as Mid University Sweden, where is currently visiting full professor at the department of electrical engineering and the research center Sensible Things that Communicate. He has published more than 250 papers in international journals and conferences, in which he got best paper or best poster awards several times.