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 |
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.
