A model of shared grasp affordances from demonstration

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Visual Imitation Made Easy (2020, methodology): “This method has been successfully applied to a large range of robotic tasks including ﬂying a robotic helicopter [17], grasping objects [18, 19], navigating robots through cluttered environments [20, 21, 22], and even driving cars [23].”
Learning grasp affordance densities (2011, methodology): “, to the identification of clusters in grasp preshape sequences [10] and hand approaches for grasping specific objects [4, 33].”
A survey of robot learning from demonstration (2009, unknown): “Demonstrations recorded through human teleoperation via a joystick are used in a variety of applications, including flying a robotic helicopter [6], robot kickingmotions [7], object grasping [8, 9], robotic arm assembly tasks [10] and obstacle avoidance and navigation [11,12].”
Challenges in Shared-Environment Human-Robot Collaboration (2013, background): “Members of the HRI community have performed user studies on various LfD techniques, and continue to present results valuable to interaction designers [4]–[7].”