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The concept of Smart Glasses has evolved since the introduction of early prototypes of the 1990s, only to gain wide acceptance recently. The global smart glasses market has recently experienced significant growth and is pre-dicted for further expansion. They can be tailored to many types of consum-er classes and industries, with several benefits. Like other IoT devices, Smart Glasses may be embedded with sensors to gather data which is then shared with other devices. Machine learning algorithms can be used for processing, sensor fusion, or classification and decision-making. Smart Glasses can also enhance productivity for medical practitioners, allowing them to view patient records or assist them during surgical procedures. New apps utilization such eyewear can also be an assistive technology, enhancing the quality of life for People with Disabilities. The paper provides a review of recent research on the applications of smart glasses, address critical research challenges, and the status of current smart glasses on the market. It also highlights key research issues that should be addressed in the short and long term to bring these powerful tools into mainstream usage. 

Robotic cooking can alter both home and commercial kitchens by automat-ing and improving a variety of cooking operations. The incorporation of modern technology, such as robot manipulation, computer vision, deep learning, modal sensors, and other machine learning techniques, allows these robots to perform difficult culinary operations with accuracy and consisten-cy. However, several challenges still exist in adapting robotic systems to the diverse tools and techniques used in cooking. Robots need to use a wide ar-ray of kitchen tools designed for humans, such as knives, spatulas, and whisks. This requires not only the ability to grasp and manipulate these tools but also the adaptability to switch between them efficiently and use them correctly in different cooking contexts. This paper reviews the latest devel-opments in robotic cooking platforms, examining their design, performance, and public perception. It also covers various technologies critical for building robotic chefs, categorizing these advancements into need and importance, emerging technologies, different techniques, and future challenges. Further-more, it addresses the technical and practical obstacles that currently hinder their widespread implementation. 

Assistive robots are robots that are designed to help people with disa-bilities in their daily lives. These robots often are either too simple, and thus can-not meet the needs of the user, or are too complex, and thus become overly ex-pensive or unreliable. To mitigate this problem, we propose a system of multi-robot coordination that allows several heterogeneous robots to work coopera-tively to assist an individual. We design care task workflows that cater to the needs of a specific patient, outlining the tasks needed for the user as well as the robots that can complete each task. We then build a ROS simulation to test our coordination methods on two example workflows for PTSD care routines. Our experiments show that our coordination successfully navigates each robot to its task location at the proper time, thus showing the feasibility of these methods for multi-assistive-robot coordination.