Vislab

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Institutional information: http://vislab.isr.ist.utl.pt

Our YouTube channel, containing nice videos and demonstrations: http://www.youtube.com/user/VislabLisboa

Our internal video page on this wiki: VisLab Videos

Research Topics

  • Machine Learning
  • Computer Vision

Projects

Current projects

  • POETICON++ - Robots Need Language: A computational mechanism for generalisation and generation of new behaviours in robots (EC FP7, Jan. 2012 - Dec. 2015)
    • http://www.poeticon.eu/
    • The main objective of POETICON++ is the development of a computational mechanism for generalisation of motor programs and visual experiences for robots. To this end, it will integrate natural language and visual action/object recognition tools with motor skills and learning abilities, in the iCub humanoid. Tools and skills will engage in a cognitive dialogue for novel action generalisation and creativity experiments in two scenarios of "everyday activities", comprising of (a) behaviour generation through verbal instruction, and (b) visual scene understanding. POETICON++ views natural language as a necessary tool for endowing artificial agents with generalisation and creativity in real world environments.
  • Dico(re)²s - Discount Coupon Recommendation and Redemption System (EC FP7, July 2011 - June 2013)
    • http://www.dicore2s.com/
    • Dico(re)²s develops and deploys a coupon-based discount campaign platform to provide consumers and retailers/manufacturers with a personalized environment for maximum customer satisfaction and business profitability.
  • First-MM - Flexible Skill Acquisition and Intuitive Robot Tasking for Mobile Manipulation (EC FP7, Feb. 2010 - Jul. 2013)
    • http://www.first-mm.eu/
    • The goal of First-MM is to build the basis for a new generation of autonomous mobile manipulation robots that can flexibly be instructed to perform complex manipulation and transportation tasks. The project will develop a novel robot programming environment that allows even non-expert users to specify complex manipulation tasks in real-world environments. In addition to a task specification language, the environment includes concepts for probabilistic inference and for learning manipulation skills from demonstration and from experience.

Past projects

  • RoboSoM - A Robotic Sense of Movement (EC FP7, Dec. 2009 - Dec. 2012)
    • http://www.robosom.eu/
    • This project aims at advancing the state-of-the-art in motion perception and control in a humanoid robot. The fundamental principles to explore are rooted on theories of human perception: Expected Perception (EP) and the Vestibular Unified Reference Frame.
  • HANDLE - Developmental Pathway Towards Autonomy and Dexterity in Robot In-Hand Manipulation (EC FP7, Feb. 2009 - Feb. 2013)
    • http://www.handle-project.eu
    • This project aims at providing advanced perception and control capabilities to the Shadow Robot hand, one of the most advanced robotic hands in mechanical terms. We follow some paradigms of human learning to make the system able to grasp and manipulate objects of different characteristics: learning by imitation and by self-exploration. Different object characteristics and usages (object affordances) determine the way the hand will perform the grasping and manipulation actions.
  • URUS - Ubiquitous Networking Robotics in Urban Settings (EC FP6, Dec. 2006 - Nov. 2009)
  • RobotCub - Robotic Open-Architecture Technology for Cognition, Understanding and Behaviour (EC FP6, Sept. 2004 - Jan. 2010)
  • MIRROR - Mirror Neurons for Recognition (EC FP5, 2001 - 2004)

Material

Robots

Other resources

Blackhole network storage

You can store your work and backups on blackhole (10.0.3.118). As of 2013, this disk replaced the old one europa_hd (10.0.3.117).

Cortex cluster

For information on the setup of this cluster, see Cortex.

Cameras

Demos

iCubBrain cluster

For information on the setup of this cluster, see iCubBrain.

Network

See the VisLab network article.

Software repositories

Git repositories at:

 https://github.com/vislab-tecnico-lisboa

Github repositories guidelines:

  • Repository name: All the characters must be lower case and use underscore to separate words
  • Repository name: Avoid the usage of non-letter characters in the name, including "-"
  • Repository description is mandatory
  • README.md is mandatory
  • The WIKI of the repository is highly encouraged to use, in case the README.md becomes a very large file

Old SVN repository at:

 svn://svn.isr.ist.utl.pt/vislab

Tutorials

Useful links

VisLab category

The page Category:Vislab (linked below) lists all pages related to VisLab.