Object Detection with YOLO Model on NAO Humanoid Robot

Author:

Biswas SougatamoyORCID,Nandy AnupORCID,Naskar Asim KumarORCID

Publisher

Springer Nature Switzerland

Reference17 articles.

1. Vahrenkamp, N., Asfour, T., Dillmann, R.: Simultaneous grasp and motion planning: humanoid robot ARMAR-III. IEEE Robot. Autom. Mag. 19, 43–57 (2012)

2. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Conference on Computer Vision and Pattern Recognition (2001)

3. Girshick, R., Donahue, J., Darrell, T., et al.: Region-based convolutional networks for accurate object detection and segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 38(1), 142–158 (2016)

4. Ren, S., He, K., Girshick, R., et al.: Faster R-CNN: towards real-time object detection with region proposal networks. In: International Conference on Neural Information Processing Systems, pp. 91–99. MIT Press (2015)

5. Wang, C., Bochkovskiy, A., Liao, H.: YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors. arXiv/abs/2207.02696 (2022). Accessed 30 Apr 2023

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