Robotics

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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G3DB: A Database of Successful and Failed Grasps with RGB-D Images, Point Clouds, Mesh Models and Gripper Parameters
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CHAMP: A Bespoke Integrated System for Mobile Manipulation
Mobile manipulation is a robotics paradigm with the potential to make major contributions to a number of important domain areas. …
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Modelling Primate Control of Grasping for Robotics Applications
The neural circuits that control grasping and perform related visual processing have been studied extensively in macaque monkeys. We …
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