Events

Programme

9:15 AM - Giorgio Metta, Istituto Italiano di Tecnologia - Opening: Artificial Intelligence and Robotics in the perspective of social challenges

9:30 AM - Tomaso Poggio, McGovern Institute (MIT) - The Science and Engineering of Intelligence

10:10 AM - Bernhard Schoelkopf, Max Planck Institute - Symbolic, statistical and causal

10:50 AM - Michele Parrinello, Istituto Italiano di Tecnologia - Artificial Intelligence meets Atomistic Simulations

11:45 AM - Rita Cucchiara, UNIMORE - Università degli Studi di Modena e Reggio Emilia - Artificial Intelligence for People and about People

12:25 AM - Cecilia Laschi, NUS National University of Singapore - Robotics and the embodied side of intelligence

1:00 PM - Final remarks

Live streaming will be available.

If you wish to attend in person, you can use this form to reserve your seat.

Abstract
In the near future robots will operate next to humans. Robots will be expected to know about all the objects in the domain where they are working. This will require methods to rapidly learn new objects, recognise and manipulate them. The talk will present recent advances of learning objects from CAD models, learning models for more robust object pose estimation, and the application in a tidy up scenario.

Bio
Markus Vincze is Professor at TU Wien leading the Vision for Robotics (V4R) team with the objective to make robots see. Markus received his diploma in mechanical engineering from TU Wien in 1988, M.Sc. from Rensselaer Polytechnic Institute, USA, 1990, and PhD at TU Wien 1993. As PostDoc he worked at HelpMate Robotics Inc. with Josef Engelberger and the Vision Laboratory of Gregory Hager at Yale University. 2004 he obtained the habilitation in robotics based on the work in visual servoing. He coordinated EC projects RobVision, ActIPret, robotshome and Hobbit and contributed to many other such as GRASP, STRANDS, and Squirrel. He was the program chair of ICRA 2013 in Karlsruhe and organized ERF 2015 and HRI 2017 in Vienna. He is director on the board of euRobotics. Markus' special interests are cognitive vision methods for robotics solutions situated in real-world environments and especially homes.

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Imitation learning plays a key role in our development from the early years of our life. In fact, by observing expert demonstrators we are able to learn new skills. For this reason the idea of having robots able to learn new tasks by using demonstration policies is the subject of an increasing number of research. With our work we focus on the ability of remapping actions in our perspective and we propose a generative model able to shift the perspective from third person to first person. This perspective translation is performed by using only RGB images. Moreover, our model generates an embedded representation of the action which can be used to understand the action. These embeddings are autonomously learnt following a time-consistent pattern without the human supervision. In the last part of the seminar we will show how our model can be successfully implemented on a real robot to perform an imitation task.

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Luca is a 2nd year PhD student at MALGA and collaborates with the Robotics Brain and Cognitive Sciences laboratory at the Italian Institute of Technology (iit). His research interests revolve around machine learning and computer vision applied to Robotics, with a focus on new algorithms that enhance the quality of Human-Robot-Interaction.