Скачать или смотреть ATLAS Colloquium: Edge AI-enhanced resource-limited systems

Full Colloquium Title: Edge AI-enhanced resource-limited systems: From robotics to bioelectronics

Abstract: In an era where efficiency and precision are paramount, Edge AI emerges as a transformative force, particularly in resource-limited systems spanning robotics and bioelectronics. This talk delves into the integration of AI at the edge, where computational constraints are balanced with the need for real-time processing and autonomy. Drawing from my extensive research in autonomous robotics and wearable technologies, I will showcase innovative strategies for embedding AI directly into devices, enabling them to operate independently of extensive infrastructure and perform complex tasks with minimal energy consumption. By equipping robots with edge AI, we unlock new potentials in precision agriculture, where robots can make on-the-spot decisions for crop management, leading to sustainable practices and enhanced productivity. I will also present cutting-edge developments in bioelectronic devices, highlighting how Edge AI allows for sophisticated health monitoring and disease prediction with unprecedented accuracy and speed. Through case studies and my contributions to the field, I will outline the challenges and breakthroughs in hardware and software development including AI algorithms optimized for edge deployment. This discussion will also cover the ethical considerations and potential societal impacts of such technologies. Ultimately, this talk will paint a comprehensive picture of seamless human-robot interaction through the combination of advancing robotics and bioelectronics, offering insights into future directions and the vast potential of these intertwined disciplines.

Bio: Dr. Yayun Du is a postdoctoral fellow in the Querrey Simpson Institute for Bioelectronics at Northwestern University under the supervision of Prof. John Rogers. She obtained her Ph.D. degree in Robotics and Control from University of California Los Angeles in 2022. In 2021, she was also awarded “MIT Civil and Environmental Engineering (CEE) Rising Star”. Her patented autonomous agricultural robot was a finalist for two Best Paper Awards at International Conference on Intelligent Robots and Systems (IROS) 2021. Her interdisciplinary research intersects robotics, control, bioelectronics, and machine learning, focusing on edge computing-enhanced bio-inspired robotic locomotion, autonomous agricultural robots, and low-power wearable healthmonitoring devices for disease detection.