Browsing by Author "Rozo Castañeda, Leonel"
Now showing items 1-10 of 10
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A robot learning from demonstration framework to perform force-based manipulation tasks
(Springer, 2013)
Article
Open AccessThis paper proposes an end-to-end learning from demonstration framework for teaching force-based manipulation tasks to robots. The strengths of this work are manyfold. First, we deal with the problem of learning through ... -
Dynamically consistent probabilistic model for robot motion learning
(2012)
Conference report
Open AccessThis work presents a probabilistic model for learning robot tasks from human demonstrations using kinesthetic teaching. The difference with respect to previous works is that a complete state of the robot is used to obtain ... -
Force-based robot learning of pouring skills using parametric hidden Markov models
(2013)
Conference report
Open AccessRobot learning from demonstration faces new challenges when applied to tasks in which forces play a key role. Pouring liquid from a bottle into a glass is one such task, where not just a motion with a certain force profile ... -
Learning collaborative impedance-based robot behaviors
(2013)
Conference report
Open AccessResearch in learning from demonstration has focused on transferring movements from humans to robots. However, a need is arising for robots that do not just replicate the task on their own, but that also interact with humans ... -
Learning force-based robot skills from haptic demonstration
(IOS Press, 2010)
Conference report
Open AccessLocally weighted as well as Gaussian mixtures learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration. Input streams other than visual ... -
Learning physical collaborative robot behaviors from human demonstrations
(Institute of Electrical and Electronics Engineers (IEEE), 2016-04-01)
Article
Open AccessRobots are becoming safe and smart enough to work alongside people not only on manufacturing production lines, but also in spaces such as houses, museums, or hospitals. This can be significantly exploited in situations in ... -
Robot learning from demonstration in the force domain
(2011)
Conference report
Restricted access - publisher's policyResearchers are becoming aware of the importance of other information sources besides visual data in robot learning by demonstration (LbD). Forcebased perceptions are shown to convey very relevant information – missed by ... -
Robot learning from demonstration of force-based tasks with multiple solution trajectories
(2011)
Conference report
Open AccessA learning framework with a bidirectional communication channel is proposed, where a human performs several demonstrations of a task using a haptic device (providing him/her with force-torque feedback) while a robot captures ... -
Robot learning of container-emptying skills through haptic demonstration
(2009)
External research report
Open AccessLocally weighted learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration. Input streams other than visual information, as used in most ... -
Sharpening haptic inputs for teaching a manipulation skill to a robot
(2010)
Conference report
Open AccessGaussian mixtures-based learning algorithms are suitable strategies for trajectory learning and skill acquisition, in the context of programming by demonstration (PbD). Input streams other than visual information, as used ...
