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Teaching robots to cooperate with humans in dynamic manipulation tasks based on multi-modal human-in-the-loop approach
(Springer Science+Business Media, 2014-01)
We propose an approach to efficiently teach robots how to perform dynamic anipulation tasks in cooperation with a human partner. The approach utilises human sensorimotor learning ability where the human tutor controls the ...
Learning to grasp with parental scaffolding
(IEEE, 2011)
Parental scaffolding is an important mechanism utilized by infants during their development. Infants, for example, pay stronger attention to the features of objects highlighted by parents and learn the way of manipulating ...
Cooperative multi-task assignment for heterogonous UAVs
(IEEE, 2015)
This research is focused on the cooperative multi-task assignment problem for heterogeneous UAVs, where a set of multiple tasks, each requiring a predetermined number of UAVs, have to be completed at specific locations. ...
Simultaneous human-robot adaptation for effective skill transfer
(IEEE, 2015)
In this paper, we propose and implement a human-in-the loop robot skill synthesis framework that involves simultaneous adaptation of the human and the robot. In this framework, the human demonstrator learns to control the ...
Reinforcement learning to adjust parametrized motor primitives to new situations
(Springer Science+Business Media, 2012-11)
Humans manage to adapt learned movements very quickly to new situations by generalizing learned behaviors from similar situations. In contrast, robots currently often need to re-learn the complete movement. In this paper, ...
Robotic grasping and manipulation through human visuomotor learning
(Elsevier, 2012-03)
A major goal of robotics research is to develop techniques that allow non-experts to teach robots dexterous skills. In this paper, we report our progress on the development of a framework which exploits human sensorimotor ...
Dynamic movement primitives for human movement recognition
(IEEE, 2015)
Dynamic Movement Primitives (DMPs)-originally a method for movement trajectory generation [1] has been also used for recognition tasks [2, 3]. However there has not been a systematic comparison between other recognition ...
Self-discovery of motor primitives and learning grasp affordances
(IEEE, 2012)
Human infants practice their initial, seemingly random arm movements for transforming them into voluntary reaching and grasping actions. With the developing perceptual abilities, infants further explore their environment ...
Affordance-based altruistic robotic architecture for human–robot collaboration
(Sage, 2019-08)
This article proposes a computational model for altruistic behavior, shows its implementation on a physical robot, and presents the results of human-robot interaction experiments conducted with the implemented system. ...
Human adaptation to human–robot shared control
(IEEE, 2019-04)
Human-in-the-loop robot control systems naturally provide the means for synergistic human-robot collaboration through control sharing. The expectation in such a system is that the strengths of each partner are combined to ...
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