ARAS PACR Group Introduction File

The ARAS Parallel and Cable Robotics (PACR) group is focused on the development of novel cable-driven manipulators and their possible applications. Interdisciplinary research fields such as dynamics and kinematic analysis using classic and modern approaches, development of easily deployable robots through robust controllers, implementation of novel self-calibration algorithms, and establishing modern and multi-sensor perception systems for them are among the active lines of research in this group. The theoretical results of this active research group are also directly incorporated for producing commercial products through the spin-off and startup companies originated from the team. Additionally, PACR exploits the simplicity of cable robots combined with SLAM and perception algorithms to create commercial inspection and imaging robots for various applications.

ARAS AR Group Introduction File

The main research project in the group relates to the development of autonomous vehicles by implementation of state-of-the-art algorithms such as deep learning on visual data to detect and track moving objects in their frontal view. Besides, the other focus of the group is on analyzing human temporal behavior whether in the vehicle utilizing face features, or out of the vehicle through body joints detection.

In the former, the aim is to come up with practical solutions for various issues encountered in an autonomous vehicle application. Furthermore, it is imperative to optimize each of the algorithms since real-time performance is paramount. In the latter, however, the task demands different approaches compared to the previous job. In the former, usually, a detection architecture is of interest while in the latter one, sometimes, a segmentation model should be employed. Moreover, loss functions defined in each of the tasks vary from an autonomous vehicle to a person, and this should be addressed carefully to get proper outcomes.

ARAS SR Group Introduction File

The surgical robotics group aims at developing new robotics-based technologies for robot-assisted surgery and surgery training applications. This includes the design and integration of mechanical and electrical components as well as the development of innovative control structures for these systems. These robotic systems will enhance the safety and efficiency of medical surgeries which leads to more satisfaction in all of the people dealing with the healthcare systems especially the patients, the surgeons, and the residents. This group has enjoyed the collaboration and consultation of several national and international partners in the fields of engineering and medical science.

ARAS MR Group Introduction File

Virtual Reality in Medicine is a three-dimensional teaching tool used across the field of healthcare as a means of both education and instruction. Virtual Reality commonly refers to healthcare simulation environments in which learners can experience visual stimuli delivered via computer graphics and other sensory experiences. This advanced technology allows learners to obtain the knowledge and understanding necessary to perform a number of tasks and procedures involving the human body, without ever having to practice on a live patient. Central to this technology is the immersive capacity of Virtual Reality, e.g. the simulated environment surrounds a learner’s perceptual field. This means that the user feels psychologically present in the digital world, rather than in their physical reality. Utilized to educate learners on diagnosis, treatment, rehabilitation, surgery, counseling techniques and more, Virtual Reality in medicine is helping to train the next generation of healthcare professionals. This medical simulation technology has shown to have a number of benefits, such as allowing learners to practice their skills without fear of error causing potentially life-threatening impacts. The Virtual Reality tools still provide the hands-on experience required to acquire a familiarity and comfort in performing procedures, but in a safe and controlled setting. Therefore, as learners make mistakes, they can be thoroughly corrected in real-time and without risk. As Virtual Reality modules still require interaction, skills are able to become second nature before they are applied in real world scenarios. ARAS Mixed Reality research group, is aimed to build a simulator of vitrectomy and cataract surgery using virtual reality to provide a completely similar environment for real surgery for eye surgery residents. The Objective of research in this group will be completed with a joint collaboration research with Surgical Robotic (SR) research group of ARAS. We aim to incorporate the mixed reality simulation tool developed in this group to ARASH:ASiST, the product developed in SR group for Vitrectomy training.

ARAS Dynamical Systems Analysis & Control Group Introduction File

Two principal aims confront us. Firstly, to study dynamical systems theory, including methods for analyzing differential equations and iterated mappings, which draws on analysis, geometry, and topology. We specially concentrate on one of the most important theories in dynamical systems theory and control theory which comprises various topics such as stability, controllability and observability, robustness, identification, optimality. Secondly, to apply and to tailor aforementioned theories to practical systems. Some of the practical systems which we have recently been dealing with are brain-machine interface systems.