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Found 3 papers, 1 papers with code
Liquid Pouring Monitoring via Rich Sensory Inputs
In the closed-loop system, the ability to monitor the state of the task via rich sensory information is important but often less studied.
Omnidirectional CNN for Visual Place Recognition and Navigation
Given a visual input, the task of the O-CNN is not to retrieve the matched place exemplar, but to retrieve the closest place exemplar and estimate the relative distance between the input and the closest place.
Anticipating Daily Intention using On-Wrist Motion Triggered Sensing
The core of the system is a novel Recurrent Neural Network (RNN) and Policy Network (PN), where the RNN encodes visual and motion observation to anticipate intention, and the PN parsimoniously triggers the process of visual observation to reduce computation requirement.
