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Browsing NU Research Week: abstracts by Author "Varol, H. A."
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Zhakatayev, A. T.; Rubagotti, M.; Varol, H. A.
(Nazarbayev University, 2014)
Finding optimal trajectory for a robot in order to perform a specific task under constraints
is a challenging problem. These problems are often solved by solving optimal control problems (OCP). OCP
formulations can take ...
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Khassanov, Y.; Imanberdiyev, N.; Tursynbek, I.; Varol, H. A.
(Nazarbayev University, 2014)
Autonomous mobile robots are still not reliable enough for performing complex tasks
such as search and rescue, space or undersea exploration and explosive ordnance disposal. Human
intelligence is frequently employed for ...
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Khassanov, Y.; Imanberdiyev, N.; Varol, H. A.
(Nazarbayev University, 2013)
In this work, a full-body inertial human motion capture system Xsens MVN was used to control the Kuka youBot mobile manipulator.
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Saudabayev, A.; Kungozhin, F.; Nurseitov, D.; Varol, H. A.
(Nazarbayev University, 2014)
Three fundamental locomotion configurations recognized commonly are legged, wheeled,
and articulated mechanisms using which a mobile robot can navigate terrains. Hybrid configurations
enable execution of different ...
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Saudabayev, A.; Kungozhin, F.; Nurseitov, D.; Varol, H. A.
(Nazarbayev University, 2013)
In this work we present the Nazarbayev University Hybrid Quadruped (Fig. 1) – four legged and four wheeled mobile robot platform capable of navigating in both configurations avoiding the shortcomings of robots with single ...
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Tursynbek, I.; Zhakatayev, A.; Varol, H. A.
(Nazarbayev University, 2013)
In this work, we are presenting our latest developments in the design and implementation of the Nazarbayev University Robot Arm Complex.
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Tursynbek, I.; Zhakatayev, A. T.; Varol, H. A.
(Nazarbayev University, 2014)
Robotic hands are being used in various areas such as industrial automation, medical
robotics, and defense. In this work, we are presenting the Nazarbayev University Multigrasp Robot Hand
with an integrated RGB-Depth ...
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Adiyatov, O.; Varol, H. A.
(Nazarbayev University, 2013)
In this work, we present a modified version of the RRT* motion planning algorithm, which limits the memory required for storing the tree. We run the RRT* algorithm until the tree has grown to a predefined number of nodes ...