Object Detection in Robotics

This assignment, titled 'Object Detection in Robotics,' explores the application of object detection techniques in robots for real-world applications. It discusses the challenges of programming robots for object recognition and highlights the importance of efficient response times. The assignment delves into research efforts focused on teaching robots to identify objects like faces, bicycles, and buildings. It also references relevant academic papers by Erhan et al. (2014) and Zagoruyko et al. (2016) that contribute to the field of object detection in robotics.

Running head: RDIT - IDEATION
SIT740 Research and Development in Information Technology
Pass Task 8.1: Ideation
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1RDIT - IDEATION
Recognition of real time world objects with Object detection
The rise in the study of Artificial Intelligence has offered advancement in robotics however there
still exists a complex issue of programming for real world object recognition. The detection and
recognizing of real world objects requires application of suitable logic so the robots need to
gather information about the objects in an environment. Algorithms are needed for providing the
robots with such sort of skills as the objects are considered as the information about a particular
environment. Many research projects are being undertaken in context to the problem of
embedding the object detection technique in robots but in a controlled environment. Hence, this
study also focuses on the process of teaching the robots to recognize world objects such as faces,
bicycles, and buildings using object detection. The response time for detection of an object by
robots have to be sufficiently efficient so that those can be used for commercial purposes.

2RDIT - IDEATION
Bibliography
Erhan, D., Szegedy, C., Toshev, A. and Anguelov, D., 2014. Scalable object detection using deep
neural networks. In Proceedings of the IEEE Conference on Computer Vision and Pattern
Recognition (pp. 2147-2154).
Zagoruyko, S., Lerer, A., Lin, T.Y., Pinheiro, P.O., Gross, S., Chintala, S. and Dollár, P., 2016.
A multipath network for object detection. arXiv preprint arXiv:1604.02135.