22 Junho 2018, 12:39 - Fátima Sampaio
11 Junho 2018, 09:20 - Luís Revez
O livro Introdução à Computação Gráfica, de autoria de 4 professores de Informática no Técnico, acaba de ser publicado.
7 Junho 2018, 10:47 - Luís Revez
This next Friday, 8th June we will have a very special guest visiting us, Dr. Amit Pandey. He is the Chief Scientist at Softbank Robotics in Europe and he is going to give a talk about user expectations in social robotics.
The talk will be held at 11:00 am on room 1.38 in Taguspark.
You are all invited to come.
Title: End User Expectations From the Social Robotics Revolution: an Industrial Perspective
Never before in the history of robotics, robots have been so close to us, in our society. We are ‘evolving’, so as our society, lifestyle and the needs. AI has been with us for decades, and now embodied in robots, penetrating more in our day-to-day life. All these are converging towards creating a smarter eco-system of living, where social robots will coexist with us in harmony, for a smarter, healthier, safer and happier life. Such robots are supposed to be socially intelligent and behave in socially expected and accepted manners. The talk will reinforce that social robots have a range of potential societal applications and hence impacting the education needs and job opportunities as well. The talk will begin with illustrating some of the social robots and highlight what does it mean to develop a socially intelligent robot, and the associated R&D challenges. This will be followed by some use cases, end user feedback and the market analysis. The talk will conclude with some open challenges ahead, including social and ethical issues and emphasize on the greater need of a bigger and multi-disciplinary effort and eco-system of different stakeholders including policy makers.
Bio: Dr. Amit Kumar Pandey is Head Principal Scientist (Chief Scientist) at SoftBank Robotics Europe (formerly Aldebaran Robotics), Paris, France. Earlier for 6 years he was a researcher in Robotics and AI at LAAS-CNRS (French National Center for Scientific Research), Toulouse, France. His PhD work on “Towards Socially Intelligent Robots in Human Centered Environment”, is awarded among the best three Ph.D. Theses in Robotics in Europe for the prestigious Georges Giralt Award. He is also the founding coordinator of Socially Intelligent Robots and Societal Applications (SIRo-SA) Topic Group (TG) of euRobotics, and a contributor in its Multi-Annual Roadmap (MAR), which aims to shape the future of robotics in Europe in collaboration with European Commission (EC) through PPP SPARC (one of the largest civilian-funded robotics innovation programme in the world).
4 Junho 2018, 10:42 - Luís Revez
You are cordially invited to attend the seminar “ROBOT LEARNING FROM FEW DEMONSTRATIONS BY EXPLOITING THE STRUCTURE AND GEOMETRY OF DATA”, which is scheduled on Wednesday June 6th, 11:00 AM at Informática II, room 0.17, Alameda
The invited speaker for this seminar is DR. SYLVAIN CALINON, a permanent Senior Researcher at IDIAP Research Institute, Switzerland.
Please find below the abstract of the talk and the biography of Dr. Calinon.
Title: Robot learning from few demonstrations by exploiting the structure and geometry of data
Abstract: Many human-centered robot applications would benefit from the development of robots that could acquire new movements and skills from human demonstration, and that could reproduce these movements in new situations. From a machine learning perspective, the challenge is to acquire skills from only few interactions with strong generalization demands. It requires the development of intuitive active learning interfaces to acquire meaningful demonstrations, the development of models that can exploit the structure and geometry of the acquired data in an efficient way, and the development of adaptive controllers that can exploit the learned task variations and coordination patterns. The developed models need to serve several purposes (recognition, prediction, generation), and be compatible with different learning strategies (imitation, emulation, exploration).
I will present an approach combining model predictive control, statistical learning and differential geometry to pursue such goal. I will illustrate the proposed approach with various applications, including robots that are close to us (human-robot collaboration, robot for dressing assistance), part of us (prosthetic hand control from tactile array data), or far from us (teleoperation of bimanual robot in deep water).
1 Junho 2018, 09:09 - Luís Revez
Vimos desta forma informar que as provas de agregação do nosso Prof. João Madeiras Pereira decorrerão nos dias 4 e 5 (segunda e terça), pelas 17:00, no PA3, com os seguintes temas:
Relatório da Unidade Curricular: Programação 3D
Seminário: TRANSPORTE DE LUZ NA SÍNTESE DE IMAGEM ORIENTADA PARA A PRODUÇÃO: TENDÊNCIAS ATUAIS E DESAFIOS