Embedding DNN models on mobile robots for object detection

From ISLAB/CAISR
Title Embedding DNN models on mobile robots for object detection
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
TimeFrame
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
Author
Supervisor Mahmoud Rahat
Level
Status Open

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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.