News & Events

News (8)

November 20, 2023

In only a few days, the FIRST ARMENIAN satellite will take flight. On December 1 at 10:00 a.m. (US time) Hayasat-1 will be launched into space by a Space rocket from Vanderberg Space Force Base. "Hayasat-1" is a satellite of CubeSat format. This type provides a cost-effective means of access to space and a wide range of missions and research activities, making them an integral part of the field of space exploration. Technical description of Hayasat-1 includes a number of subsystems, particular...

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September 15, 2023

In 2021, the CSIE (Center for Scientific Innovation and Education) has been established. CSIE aims to establish an Automation Center of Excellence in Armenia, as well as, using the international network of scientists, to build a World Center for Armenian Robotics. The foundation has now set itself the task of teaching scientists and students how to formulate advanced research problems and have a competitive mindset. During 2021, CSIE and "Bazoomq" had discussions and came to the idea th...

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September 14, 2023

We are making history. The CSIE (Center for Scientific Innovation and Education) Foundation is involved in the “Hayasat-1” project, collaborating with the Bazoomq Space Research Lab on the CubeSat project. The first Armenian-made satellite, Hayasat-1, is ready. The Armenian satellite will be put into space by SpaceX's flight scheduled for November 29. The first Armenian-made satellite has already been assembled and sent to Europe for testing, after which it will be sent to the USA. The idea...

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May 30, 2023

On May 30, an unprecedented ceremony took place in the village of Zovuni, where the "Bazoomq" space research laboratory operates. "Bazoomq" space research laboratory foundation and "Center for Scientific Innovation and Education" foundation solemnly opened their new laboratory building. It is intended for work related to the collection, integration and testing of test samples of small format satellites. The laboratory is equipped with equipment that will provide the special conditions necessary ...

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June 20, 2022

The Control Theory course focuses on classical control theory, covering topics such as performance, robustness, and stability. The course covers frequency domain and time domain analysis of control systems, including chapters on Bode plots, Nyquist plots, PID controllers, optimal controllers, and lead-lag compensators.

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September 1, 2022

Aren Karapetyan (ETH Zurich) and Arec Jamgochian (Stanford University) discussed planning and decision-making in robotics. Planning is a core capability of intelligent agents. Arec's talk discussed agency and outlined a framework for rational planning under uncertainty. His talk also provided an overview of algorithms for offline and online planning, highlighted the amenability to models learned from data, and discussed some recent applications of data-driven planning to real-world problems in a...

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August 5, 2022

The seminar introduced recent techniques for the safe control of autonomous systems. In particular, it presented two state-of-the-art methods called model predictive control (MPC) and meta-reinforcement learning (meta-RL), along with their applications to robot control. Both methods rely on observations and interactions with the environment to provide high-performance control actions with safety guarantees. As a result, participants learned about recent advances in modern control theory, its int...

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July 12, 2022

A workshop led by the outstanding scholar Dr. Vijay Patel was conducted, covering topics such as flight control, path planning, and command and control software development. University professors, faculty, and students gained a deeper understanding of automation and engineering solutions. Dr. Vijay Patel, an exceptional scientist, currently serves as the Technology Director at the Indian Aeronautical Development Agency. He holds a PhD degree in Control Systems Engineering and has been a postdoct...

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Weekly Seminars (5)

November 08, 2023

On November 8, the Scientific Innovation and Education Center (CSIE) and the National Polytechnic University of Armenia (NPUA) organized a seminar on the control of autonomous systems. During the seminar, we discovered various advanced control techniques. During the seminar, latest control methods, such as Model Predictive Control (MPC) and Reinforcement Learning (RL), were presented. We saw how robots work in complex environments and adapt to unexpected changes in the environment even...

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July 3, 2023

This course aims to introduce students to an array of concepts surrounding controls and estimation. They are introduced to Optimal Control theory through LQR (Linear Quadratic Regulator) and Kalman Filteration through LQG. They also get an introduction into Adaptive Controls and Robust Controls such as L1 Adaptive Controllers. Each controllers’ concepts are directly applied onto the quadrotor dynamics. Guidance, navigation, and control (GNC) deals with the design of systems to control the ...

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July 11, 2023

This course aims to introduce students to concepts of Linear Controls. This includes Controllability, Observability, and Stability. In addition, students get introduced to feedback control, pole placement, and tracking control. Modern control uses state-space methods to analyze and design control systems. It is a more general and powerful approach than classical control theory, which was based on frequency-domain methods. Modern control theory can be used to analyze and design systems with...

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April 19, 2023

The modern control technique explores the latest advancements in the field of mobile robotics. The seminar covered various techniques for mobile robots' motion planning and control, making mobile robots safer, autonomous, and efficient in their tasks in dynamic environments with uncertainties. Additionally, the seminar focused on the state-of-the-art optimal control tool called Model Predictive Control (MPC) and its integration with risk assessment and management into the motion control ...

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June 26, 2023

What is YOLO? This abbreviation stands for "You Only Look Once". YOLO is a modern deep learning algorithm that is widely used for object detection. Object detection is a computer vision technique for locating instances of objects in images or videos. Object detection algorithms typically leverage machine learning or deep learning to produce meaningful results. When humans look at images or video, we can recognize and locate objects of interest within a matter of moments. It was designed by Jose...

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