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Browsing by Author "Hasegawa, O"

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Accelerating model learning with inter-robot knowledge transfer

Author: Makondo, Ndivhuwo ; Rosman, Benjamin S ; Hasegawa, O Date: May 2018 Online learning of a robot’s inverse dynamics model for trajectory tracking necessitates an interaction between the robot and its environment to collect training data. This is challenging for physical robots in the real world, especially for ... Read more
Knowledge transfer for learning robot models via local procrustes analysis

Author: Makondo, N ; Rosman, Benjamin S ; Hasegawa, O Date: Nov 2015 Learning of robot kinematic and dynamic models from data has attracted much interest recently as an alternative to manually defined models. However, the amount of data required to learn these models becomes large when the number of degrees ... Read more
A non-linear manifold alignment approach to robot learning from demonstrations

Author: Makondo, Ndivhuwo ; Hiratsuka, M ; Rosman, Benjamin S ; Hasegawa, O Date: Apr 2018 The number and variety of robots active in real-world environments are growing, as well as the skills they are expected to acquire, and to this end we present an approach for non-robotics-expert users to be able to easily teach a skill to a ... Read more
Trajectory learning from human demonstrations via manifold mapping

Author: Hiratsuka, M ; Makondo, N ; Rosman, Benjamin S ; Hasegawa, O Date: Oct 2016 This work proposes a framework that enables arbitrary robots with unknown kinematics models to imitate human demonstrations to acquire a skill, and reproduce it in real-time. The diversity of robots active in non-laboratory environments is ... Read more

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Browsing by Author "Hasegawa, O"

Browsing by Author "Hasegawa, O"

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