Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Hanjaya Mandala"'
Publikováno v:
Jurnal Teknik Elektro, Vol 14, Iss 1, Pp 18-23 (2022)
The deep learning-based object detector accuracy has surpassed conventional detection methods. Although implementation is still limited to hardware capabilities, this problem can be overcome by combining edge devices with cloud computing. The recent
Externí odkaz:
https://doaj.org/article/ab814d0b72e046a6bde3d99ecad17a34
Publikováno v:
Jurnal Teknik Elektro. 14:18-23
The deep learning-based object detector accuracy has surpassed conventional detection methods. Although implementation is still limited to hardware capabilities, this problem can be overcome by combining edge devices with cloud computing. The recent
Publikováno v:
2020 International Conference on Advanced Robotics and Intelligent Systems (ARIS).
This paper introduces a synchronous dual-arm manipulation with obstacle avoidance trajectory planning by an adult-size humanoid robot. In this regard, we propose a high precision 3D object coordinate tracking using LiDAR point cloud data and adopting
Publikováno v:
Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 8
This paper introduces a fast and accurate object detection algorithm based on a convolutional neural network for humanoid marathon robot applications. The algorithm is capable of operating on a low-performance CPU without relying on the GPU or hardwa
Publikováno v:
2019 2nd International Conference on Applied Engineering (ICAE).
This paper presents a ROS based software framework for kid-size humanoid marathon robot. Marathon track identification was solved by using colour filtering and contour selection approach. Two-stages ConvNet object detection algorithm with colour-base
Publikováno v:
Applied Soft Computing. 110:107601
Most research on robot manipulation focuses on objects that are light enough for the robot to pick them up. However, in our daily life, some objects are too big or too heavy to be picked up or carried, so that dragging them is necessary. Although bip