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William D. Smart

4 accepted papers

2017

Neural networks for incremental dimensionality reduced reinforcement learning

IROS 2017poster

State-of-the-art personal robots must perform complex manipulation tasks to be viable in assistive scenarios. However, many of these robots, like the PR2, use manipulators with high degrees-of-freedom. The complexity of these robots lead to large dimensional state spaces, which are difficult to full…

Cited by 5SourceScholar
2016

Real-time contamination modeling for robotic health care support

IROS 2016poster

Real-time contamination monitoring in health care facilities would allow medical teams to take appropriate actions to carefully enter, avoid, or decontaminate contaminated areas, reducing infection risk for themselves and their patients. In this paper, we demonstrate and evaluate the first end-to-en…

Cited by 8SourceScholar