Robotic exoskeletons are a trending topic in both robotics and rehabilitation therapy. The research presented in this paper is a summary of robotic exoskeleton development and testing for a human hand, having application in motor rehabilitation treatment. The mechanical design of the robotic hand exoskeleton implements a novel asymmetric underactuated system and takes into consideration a number of advantages and disadvantages that arose in the literature in previous mechanical design, regarding hand exoskeleton design and also aspects related to the symmetric and asymmetric geometry and behavior of the biological hand. The technology used for the manufacturing and prototyping of the mechanical design is 3D printing. A comprehensive study of the exoskeleton has been done with and without the wearer’s hand in the exoskeleton, where multiple feedback sources are used to determine symmetric and asymmetric behaviors related to torque, position, trajectory, and laws of motion. Observations collected during the experimental testing proved to be valuable information in the field of augmenting the human body with robotic devices.

This paper will be presenting a short review regarding robotic rehabilitation devices. The focus of rehabilitation are aimed for the human hand, mainly for regaining motor functions by the aid of robotics. A comprehensive statistical study will be presented regarding tendencies in the field of rehabilitation, medical robotics and technologies used for robotic exoskeletons based on existing published papers. A short review on existing practical examples is also presented. In the final part of the papers a short comparison is debated between soft robotic devices and rigid robotic devices used in hand rehabilitation. After presenting the review of the current state of the art a conclusion regarding the future direction of rehabilitation devices is proposed.

In this paper research and development of a control system for a robotic hand exoskeleton is presented. The application area for the device is medical rehabilitation therapy. Application specific electronics are designed and implemented in the mechatronic system of a robotic exoskeleton. A comprehensive study is elaborated utilizing data generated by the exoskeleton during operation with and without the human hand interfaced in the device.

This paper is presenting video processing applications for determining anthropometric measurements used for developing robotic rehabilitation devices. This paper is part of an ongoing project of developing rehabilitation devices aimed for the human hand, mainly for regaining motor functions by the aid of robotics. This paper is presenting research using video processing software for data collecting. The focus of rehabilitation is aimed for the human hand, mainly for regaining motor functions by the aid of robotics. The area of application for the robotic rehabilitation devices are for patients suffering from paretic symptoms following stroke.

Deep Learning usage is spread across many fields of application. This paper presents details from a selected variety of works published in recent years to illustrate the versatility of the Deep Learning techniques, their potential in current and future research and industry applications as well as their state-of-the-art status in vision tasks, where their efficiency is experimentally proven to near 100% accuracy. The presented applications range from navigation to localization, object recognition and more advanced interactions such as grasping.

In this paper several types of UV-C neon lamps are tested for their germicidal effects, determining actual wavelength for select models, close to 250 nm. These neon lamps feature Mercury insertion in the tubes and no UV-C protection. To determine wavelengths, several models were purchased from different manufacturers and measured in an experimental setting. These neon lamps have different power ratings, but the wavelength parameters are similar, therefore these parameters were used as criteria for the selection. Applications considered are the germicidal effects on viruses, including SARS-CoV-2.