Gayane Kazhoyan – EASE Collaborative Research Center

Learning Parameters of Mobile Pick and Place Actions from Observing Humans in VR

Post author:Gayane Kazhoyan
Post published:September 4, 2020
Post category:Blog
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Robots acting in real-world environments, such as human households, require a vast amount of various knowledge to be able to execute their tasks. For example, consider the task of setting…

Towards Plan Transformations for Real-World Mobile Fetch and Place

Post author:Gayane Kazhoyan
Post published:May 4, 2020
Post category:Blog
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Autogenerated or preprogrammed action plans for robots are not always optimal with respect to the given situation at hand. There may exist opportunities to optimize the behavior of the robot with respect…