View source for Embedding DNN models on mobile robots for object detection

{{StudentProjectTemplate
|Summary=The idea in this project is to employ transfer learning methods to teach a mobile robot to detect a handful of everyday objects in the real-world environment, and investigate the challenges and difficulties that are faced to this end
|Keywords=Mobile robots, Transfer Learning, Object Detection
|References=•	Pan, Sinno Jialin, and Qiang Yang. "A survey on transfer learning." IEEE Transactions on knowledge and data engineering 22.10 (2009): 1345-1359.
•	Yosinski, Jason, et al. "How transferable are features in deep neural networks?." Advances in neural information processing systems. 2014.
|Prerequisites=Machine Learning
|Supervisor=Mahmoud Rahat
|Status=Open
}}
The idea in this project is to employ transfer learning methods to teach a mobile robot to detect a handful of everyday objects in the real-world environment and investigate the challenges and difficulties that are faced to this end. One to say is the hardware/software limitation on mobile robots.