Robot Kinematics

Towards Improving Incremental Learning of Manipulator Kinematics with Inter-robot Knowledge Transfer
This paper investigates the improvement of learning sensorimotor models for developmental robots, in particular robot arm kinematics …
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Accelerating Model Learning with Inter-robot Knowledge Transfer
Online learning of a robot’s inverse dynamics model for trajectory tracking necessitates an interaction between the robot and its …
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Trajectory Learning from Human Demonstrations via Manifold Mapping
This work proposes a framework that enables arbitrary robots with unknown kinematics models to imitate human demonstrations to acquire …
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Knowledge Transfer for Learning Robot Models via Local Procrustes Analysis
Learning of robot kinematic and dynamic models from data has attracted much interest recently as an alternative to manually defined …
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