Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes
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Sensor Reduction of Variable Stiffness Actuated Robots Using Moving Horizon Estimation
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Generalized Dynamics of Stacked Tensegrity Manipulators
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Sensor Reduction of Variable Stiffness Actuated Robots Using Moving Horizon Estimation
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Time Optimal Control of Variable Stiffness Actuated Robots [1]
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Time Optimal Control of Variable Stiffness Actuated Robots [2]
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RRT* FND - motion planning in dynamic environments
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User-Independent Intent Recognition for Lower-Limb Prostheses using Depth Cameras
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Augmenting Variable Stiffness Actuation Using Reaction Wheels
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Closed Loop Control of Variable Stiffness Actuated Robots via Nonlinear Model Predictive Control
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Nazarbayev University Hybrid Quadruped Robot
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Nazarbayev University Hybrid Quadruped Robot
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IMC based Teleoperation of Mobile Manipulator with Multigrasp Hand (KUKA Innovation Award Finalist)
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Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes
Deep Learning Based Object Recognition Using Physically-Realistic Synthetic Depth Scenes
Sensor Reduction of Variable Stiffness Actuated Robots Using Moving Horizon Estimation
Sensor Reduction of Variable Stiffness Actuated Robots Using Moving Horizon Estimation
Generalized Dynamics of Stacked Tensegrity Manipulators
Generalized Dynamics of Stacked Tensegrity Manipulators
Sensor Reduction of Variable Stiffness Actuated Robots Using Moving Horizon Estimation
Sensor Reduction of Variable Stiffness Actuated Robots Using Moving Horizon Estimation
Time Optimal Control of Variable Stiffness Actuated Robots [1]
Time Optimal Control of Variable Stiffness Actuated Robots [1]
Time Optimal Control of Variable Stiffness Actuated Robots [2]
Time Optimal Control of Variable Stiffness Actuated Robots [2]
RRT* FND - motion planning in dynamic environments
RRT* FND - motion planning in dynamic environments
User-Independent Intent Recognition for Lower-Limb Prostheses using Depth Cameras
User-Independent Intent Recognition for Lower-Limb Prostheses using Depth Cameras
Augmenting Variable Stiffness Actuation Using Reaction Wheels
Augmenting Variable Stiffness Actuation Using Reaction Wheels
Closed Loop Control of Variable Stiffness Actuated Robots via Nonlinear Model Predictive Control
Closed Loop Control of Variable Stiffness Actuated Robots via Nonlinear Model Predictive Control
Nazarbayev University Hybrid Quadruped Robot
Nazarbayev University Hybrid Quadruped Robot
Nazarbayev University Hybrid Quadruped Robot
Nazarbayev University Hybrid Quadruped Robot
IMC based Teleoperation of Mobile Manipulator with Multigrasp Hand (KUKA Innovation Award Finalist)
IMC based Teleoperation of Mobile Manipulator with Multigrasp Hand (KUKA Innovation Award Finalist)
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Latest Publications

Augmented Reality for Robotics: A Review

Zhanat Makhataeva, Huseyin Atakan Varol


https://www.mdpi.com/2218-6581/9/2/21

Analytical Modeling and Design of Negative Stiffness Honeycombs

Altay Zhakatayev, Zhanat Kappassov, Huseyin Atakan Varol


https://iopscience.iop.org/article/10.1088/1361-665X/ab773a

Neural Network Augmented Sensor Fusion for Pose Estimation of Tensegrity Manipulators

Askat Kuzdeuov ; Matteo Rubagotti ; Huseyin Atakan Varol


Neural Network Augmented Sensor Fusion for Pose Estimation of Tensegrity Manipulators

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)

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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