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Latest Publications

Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes.

Baimukashev, D.; Zhilisbayev, A.; Kuzdeuov, A.; Oleinikov, A.; Fadeyev, D.; Makhataeva, Z.; and Varol, H. A.


Machine Learning and Knowledge Extraction, 1(3): 883–903. 2019.

Sensor Reduction of Variable Stiffness Actuated Robots Using Moving Horizon Estimation.

Adiyatov, O.; Rakhim, B.; Zhakatayev, A.; and Varol, H. A.


IEEE Transactions on Control Systems Technology,1-13. 2019.

Deformable Object Recognition Using Proprioceptive and Exteroceptive Tactile Sensing.

Mazhitov, A.; Adilkhanov, A.; Massalim, Y.; Kappassov, Z.; and Varol, H. A.


Jan 2019. In 2019 IEEE/SICE International Symposium on System Integration (SII)

Generalized Dynamics of Stacked Tensegrity Manipulators.

Fadeyev, D.; Zhakatayev, A.; Kuzdeuov, A.; and Varol, H. A.


IEEE Access,1-1. 2019.

Energy-Aware Optimal Control of Variable Stiffness Actuated Robots.

Zhakatayev, A.; Rubagotti, M.; and Varol, H. A.


IEEE Robotics and Automation Letters, 4(2): 330-337. April 2019.

Robotic Assembly Planning of Tensegrity Structures.

Nurimbetov, B.; Issa, M.; and Varol, H. A.


2019 IEEE/SICE International Symposium on System Integration (SII)

Explore ARMS Research

Tensegrity Robotics

Tensegrity is a spatial structure composed of a set of axially loaded compression elements (also called as the bars and struts) held isolated from each other by means of continuous tensile elements (the strings). The shape of the tensegrity is maintained by the balance between compression and tensile forces of the bars and strings. Since […]

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Augmented Reality

Augmented Reality (AR) turns the environment around into digital platform placing virtual objects in the real world, in real-time. AR fits into a variety of uses including gaming, digital retail, navigation, design. Our research group is utilizing AR to estimate the “safety aura” around the robot which can contribute to make the interaction between the […]

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Variable Impedance Robots

From a hardware point of view, the main difference between variable impedance robots and traditional rigid robots is the mechanical decoupling of a link from an actuator. This decoupling can be achieved by incorporating variable stiffness and/or damping elements in between an actuator and a link. As a result, variable impedance actuated robots possess the […]

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Machine Learning

Machine Learning  (ML) builds a mathematical model based on a “training data” in order to make predictions or decisions to perform some specific task.The powerful combination of robots and machine learning enables entirely new possibilities.

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Motion Planning

Motion Planning is known also as navigation planning. With the robots getting ubiquitous, effective motion planning in complex environments with dynamic obstacles is becoming essential. Motion planning aims to find a sequence of discrete robot configurations from the initial to the goal state complying with constraints imposed by the environment and internal dynamics of the […]

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Healthcare

Rehabilitation robots, surgery robots are types of medical robots used for the health care institution. Medical robots play a vital role in performing complex tasks that require brief attention to every detail. ARMS lab conducts research on the design and implementation of intelligent devices and algorithms with an emphasis on rehabilitation applications.

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