4 accepted papers
This paper presents a novel method to control an underactuated hand by using only a monocular camera, not using any internal sensors. In food factories, robots are required to handle a wide variety of foods without damaging them. To accomplish this, the use of underactuated hands is effective becaus…
In-hand manipulation (IHM) is an important ability for robotic hands. This ability refers to changing the position and orientation of a grasped object without dropping it from the hand workspace. One major challenge of IHM is to achieve a large range of manipulation (especially rotation), regardless…
This study presents a novel apprenticeship learning method to enable a learner to utilize demonstrations observed in an incompatible feature space. It is assumed that an expert and a learner follow non-identical Markov decision processes (MDPs), and a mapping function is estimated to obtain feature…
Apprenticeship learning based on inconsistent demonstrations is presented in this paper. We address a problem where given demonstrations are not directly applicable to reward function estimation due to the non-stationarity of an environment or the difference between the dynamics of a robot and a dem…