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Student Talks
An Effective Learning Framework for Active Perception and a Case Study on Liquid Property Estimation
GHC 6115Abstract: Active perception refers to a perception process where robot actions are taken to improve perception. To do this, the robot needs an observation model that knows what it will observe based on the actions it takes. However, existing approaches struggle to learn a good observation model since it needs to account for all possible [...]