83 citations · 117 across the 6 of their papers we have counts for
Showing cs.ROShow all
3 papers · 1 filter
cs.RO2020★ 1 cited
Towards Personalized Explanation of Robot Path Planning via User Feedback
Kayla Boggess, Shenghui Chen, Lu Feng
Prior studies have found that explaining robot decisions and actions helps to increase system transparency, improve user understanding, and enable effective human-robot collaborati…
cs.RO2020
Towards Transparent Robotic Planning via Contrastive Explanations
Shenghui Chen, Kayla Boggess, Lu Feng
Providing explanations of chosen robotic actions can help to increase the transparency of robotic planning and improve users' trust. Social sciences suggest that the best explanati…
cs.RO2018
Counterexamples for Robotic Planning Explained in Structured Language
Lu Feng, Mahsa Ghasemi, Kai-Wei Chang +1
Automated techniques such as model checking have been used to verify models of robotic mission plans based on Markov decision processes (MDPs) and generate counterexamples that may…