Dejan Pangercic

TL;DR: A recent public experiment that shows two robots making pancakes using web instructions and the potential of the underlying technologies as well as the research challenges raised by the experiment are discussed.

TL;DR: A method for building models for grasping from a single 3D snapshot of a scene composed of objects of daily use in human living environments using fast shape estimation, probabilistic model fitting and verification methods, and a triangular mesh of the parts that have no other representation to model previously unseen objects of arbitrary shape.

TL;DR: The research activity focuses on how the “busy genius” and the ”SHERPA animals” interact and collaborate with each other, with their own features and capabilities, toward the achievement of a common goal.

TL;DR: The system employs a library of specialized perception routines that solve different, well-defined perceptual sub-tasks and can be combined into composite perceptual activities including the construction of an object model database, multimodal object classification, and object model reconstruction for grasping.

TL;DR: The semantic object maps presented in this article, which is called SOM+, extend the first generation of SOMs presented by Rusu et al. in that the representation of SOM+ is designed more thoroughly and that SOM+ also include knowledge about the appearance and articulation of furniture objects.