Welcome to the Advanced Robotics and Automated System (ARAS) Website. ARAS Research group originated in 1997 and is proud of its 20+ years of brilliant background, and its contributions to the advancement of academic education and research in the field of Robotics. ARAS outcomes are well represented by the industrial engineers, researchers, and scientific figures graduated from this group faculty, and numerous industrial and R&D projects being conducted in this group.
Today, the scientific research developed in ARAS is well observed and followed by our national and international partners. The main asset of the research group is its human resources devoted all their time and effort to the advancement of science and technology. This includes the internationally-recognized faculty members, staff, and talented and motivated students enrolled at different undergraduate and graduate levels. Benefiting from this asset in addition to well-equipped laboratories, workshops, and educational facilities in a dynamic and pleasant environment, provides the required means to accomplish research at the leading edge of science and technology. One of our main objectives is to use these potentials to extend our educational and industrial collaborations at both national and international levels. In order to accomplish that, our mission is to enhance the breadth and enrich the quality of our education and research in a dynamic environment.
For more than 20 years, many research topics has been conducted in different research themes at ARAS. Our today success is mainly due to the dedicated student and alumni members spent their research time in these themes. Furthermore, our national and international collaborators, research and workshop facilities, and state-of -the-art research topics are among the main reasons of ARAS brilliant success in the middle east.
Mobile robots have found applications in a wide variety of areas such as search and rescue, remote planet exploration and airborne surveillance. Here, in the Autonomous Robotics (AR) section of ARAS, we study the perception, planning and control of autonomous robots. The mobile robot should be able to efficiently represent its surrounding environment in order to perform any task from exploration of an unknown area to moving toward a predefined goal. The environment perception is represented by either a metric, topological or hybrid map. The main problem of environment representation is the consistency of the constructed map during the navigation and long-term operation of mobile robot in an unknown environment.
Check out Autonomous Robotic Team’s newest project: The ARAS Driver-less Car
Parallel manipulators can generally perform better than serial manipulators in terms of stringent stiffness and acceleration requirements. However, their limited workspace and the existence of singular regions inside their workspace confine the applications of parallel manipulators for large workspace requirement. In a cable-driven redundant parallel manipulator (CDRPM), the linear actuators of parallel manipulators are replaced with electrical powered cable drivers, which lead immediately to a larger workspace. The idea of using CDRPMs is effectively penetrated in the applications where precise and stiff robot is required to operate in high accelerations within a relatively larger workspace than that attainable in conventional parallel robots.
The surgical robotics group aims at developing new robotics-based technologies for robot-assisted surgery and surgery training applications. This includes design and integration of mechanical and electrical components as well as development of innovative control structures for these systems. These robotic systems will enhance the safety and efficiency of medical procedures which leads to more satisfaction in all of the people dealing with the healthcare systems specially the patients, the surgeons, and the residents. This group is extremely benefited from the collaboration and consultation with several domestic and international partners in the fields of engineering and medical science.
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.