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Learning from Demonstration (LfD), also called Programming by Demonstration (PbD), refers to the process used to transfer new skills to a machine by relying on demonstrations from a user. It is inspired by the imitation capability developed by humans and a ...
Tasks routinely executed by humans involve sequences of actions performed with high dexterity and coordination. Fully specifying these actions such that a robot could replicate the task is often difficult. Furthermore the uncertainties introduced by the us ...
This paper explores how robotic teammates can enhance and promote cooperation in collaborative settings. It presents a user study in which participants engaged with two fully autonomous robotic partners to play a game together, named "For The Record", a va ...
The majority of learning from demonstration approaches do not address suboptimal demonstrations or cases when drastic changes in the environment occur after the demonstrations were made. For example, in real teleoperation tasks, the demonstrations provided ...
In the past years, the use of educational robots has steadily increased, in particular due to the ongoing digitalization of modern societies and the new skills that professions require. It has been argued that educational robotics activities have the poten ...
In this paper, we propose that the data generated by educational robots can be better used by applying learning analytics methods and techniques which can lead to a deeper understanding of the learners’ apprehension and behavior as well as refined guidelin ...
Contribution: While previous research has studied the use of educational robotics in classrooms, there is still a lack of methods to support the development and evaluation of such tools. To this end, this paper presents an evaluation framework and a corres ...
Adaptive design strategies have been employed to improve structural performances in terms of load-bearing efficiency and energetic impact as well as to achieve multi-functionality. In this work, we investigate a passive adaptation strategy that employs var ...
Robotic manufacturing is increasingly moving towards one-off assembly tasks. Agile manufacturing systems must be able to adapt to changing parts and designs. The addition of a soft interface, between a picking tool and a part, can improve the performance a ...
Institute of Electrical and Electronics Engineers Inc.2019
During the past few years, probabilistic approaches to imitation learning have earned a relevant place in the robotics literature. One of their most prominent features is that, in addition to extracting a mean trajectory from task demonstrations, they prov ...