Yazar
-
New CNN and hybrid CNN-LSTM models for learning object manipulation of humanoid robots from demonstration
Aslan, S.N.; Ozalp, R.; Ucar, A.; Guzelis, C. (Springer, 2021)As the environments that human live are complex and uncontrolled, the object manipulation with humanoid robots is regarded as one of the most challenging tasks. Learning a manipulation skill from human Demonstration (LfD) ... -
New convolutional neural network models for efficient object recognition with humanoid robots
Aslan, S.N.; Ucar, A.; Guzelis, C. (Taylor and Francis Inc., 2021)Humanoid robots are expected to manipulate the objects they have not previously seen in real-life environments. Hence, it is important that the robots have the object recognition capability. However, object recognition is ... -
Object recognition and detection with deep learning for autonomous driving applications
Ucar, A.; Demir, Y.; Guzelis, C. (SAGE PUBLICATIONS LTD, 2017)Autonomous driving requires reliable and accurate detection and recognition of surrounding objects in real drivable environments. Although different object detection algorithms have been proposed, not all are robust enough ...
DSpace@YASAR by Yasar University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..