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    • My new position will be Lecturer in Robotics and Computing at the .

      This is my .

      I will also continue supervising PhD students at the   which I was leading until now at the Italian Institute of Technology (IIT).

    Visuospatial skill learning for robots

    The so-called “visuospatial skills” allow people to visually perceive objects and the spatial relationships among them. This video demonstrates a novel machine learning approach that allows a robot to learn simple visuospatial skills for performing object reconfiguration tasks. The main advantage of this approach is that the robot can learn from a single demonstration, and can generalize the skill to new initial configurations. The results from this research work were presented at the International Conference on Intelligent Robots and Systems (IROS 2013) in Tokyo, Japan in November 2013.

    We present a novel robot learning approach based on visual perception that allows a robot to acquire new skills by observing a demonstration from a tutor. Unlike most existing learning from demonstration approaches, where the focus is placed on the trajectories, in our approach the focus is on achieving a desired goal configuration of objects relative to one another. Our approach is based on visual perception which captures the object’s context for each demonstrated action. This context is the basis of the visuospatial representation and encodes implicitly the relative positioning of the object with respect to multiple other objects simultaneously. The proposed approach is capable of learning and generalizing multi-operation skills from a single demonstration, while requiring minimum a priori knowledge about the environment. The learned skills comprise a sequence of operations that aim to achieve the desired goal configuration using the given objects. We illustrate the capabilities of our approach using three object reconfiguration tasks with a Barrett WAM robot.

    Link to publication:

    S. Ahmadzadeh, P. Kormushev, D. Caldwell, “Visuospatial Skill Learning for Object Reconfiguration Tasks,” in Proceedings IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2013), Tokyo, Japan, 3-8 Nov 2013.

    People will turn partially into 鸿运彩软件下载

    Sorry, this entry is only available in Български.

    I received the 2013 John Atanasoff award

    I was awarded by the President of Bulgaria with the prestigious John Atanasoff award in 2013.

    The award is named after Prof. John Vincent Atanasoff, an American physicist of Bulgarian descent who was the inventor of the first electronic digital computer ABC.

    The 33-year-old scientist in the area of information technology, Dr. Petar Kormushev, became the holder of the 2013 John Atanasoff аward. Petar Kormushev has been nominated for the award for his work in robotics, machine learning, and artificial intelligence. The distinction was given to him by the President of Bulgaria, Mr. Rosen Plevneliev, at a ceremony in Sofia on October 4th, 2013. Other you鸿运彩软件下载ng scientists were singled out with diplomas.

    Photos from the award ceremony