Argall, BrennaSauser, EricBillard, Aude2010-03-102010-03-102010-03-102010https://infoscience.epfl.ch/handle/20.500.14299/48019Demonstration learning is a powerful and practical technique to develop robot behaviors. Even so, development remains a challenge and possible demonstration limitations, for example correspondence issues between the robot and demonstrator, can degrade policy performance. This work presents an approach for policy improvement through a tactile interface located on the body of the robot. We introduce the Tactile Policy Correction (TPC) algorithm, that employs tactile feedback for the refinement of a demonstrated policy, as well as its reuse for the development of other policies.text::conference output::conference proceedings::conference paper