Embedding DNN models on mobile robots for object detection
From ISLAB/CAISR
Jump to navigationJump to search| Title | Embedding DNN models on mobile robots for object detection |
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| 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 DetectionProperty "Keywords" has a restricted application area and cannot be used as annotation property by a user. |
| 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 |
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.
