Workshops & Tutorials

ICVS 2015 will feature 2 highly interesting half-day tutorials.

  1. “Tutorial on Commercial Industrial Vision Systems“
  2. “An Open-source Recipe for Teaching/Learning Robotics with a Simulator“

Both tutorials will take place on Thursday, July 9.
Tutorial 1 will be in the morning and Tutorial 2 in the afternoon.

You can find more details about the 2 tutorials below:
Tutorial 1:

Tutorial on Commercial Industrial Vision Systems

Organizers/Presenters:

  • Michael Nielsen, PhD, DTI, Denmark
    Machine Vision Consultant, R&D.     9 years of academic experience with specialty in Computer vision at Aalborg University and University of California Davis. 4 year of mixed research and commercial custom made vision systems for quality inspection industry.
  • Thomas Sølund, DTI/DTU, Denmark
    Industrial PhD student at DTI/DTU with specialty on 3D robot pose estimation e.g. for assembly and bin picking applications, and part-time consultant at DTI.
  • Carsten Panch Isaksen, DTI, Denmark
    Consultant & Developer at DTI. 10 years of experience with quality inspection at commercial machine vision company TriVision.

Summary:

In this half-day tutorial we will introduce typical machine vision applications with matching off-the-shelf products. Then we will move on to state-of-the-art new developments and 3D Vision products addressing the rising needs for more advanced and flexible solutions. When turnkey solutions are not enough advanced, libraries are used to custom make vision systems. We present the tools and some of the camera self-diagnostics schemes we use to solve this type of applications for real production lines running 24/7. Finally, we will go through some cases with state-of-the-art picking including bin picking and quality inspection.

Topics:

  • Simple machine vision picking and inspection with off-the-shelf sensors
    • Volunteers from the audience will try to set up a vision system for an image set
  • New advanced 3D vision technology
  • Advanced machine vision for custom built vision systems
  • Quality Inspection Case Study
    • Volunteers from the audience will try to set up a new product
  • Adaptive Robot Picking Case Study using 2.5D scene- and tool-mounted cameras
  • Open discussion how audience’s projects relate to these technologies

 

Tutorial 2:

An Open-source Recipe for Teaching/Learning Robotics with a Simulator

Organizers/Presenters:

  • Renaud Detry, University of Liege, Belgium
    Postdoctoral Researcher in robot learning, autonomous grasping and manipulation, computer vision, and machine learning.
  • Peter Corke, Queensland University of Technology, Australia
    Professor of Robotic Vision

Summary:

This tutorial presents a cross-platform robot development and simulation environment that can be installed in five minutes and that allows students to write control, navigation, vision or manipulation algorithms in a hundred lines of Matlab or Python code. The tutorial relies on the V-REP robot simulator, and on the Matlab Robotics Toolbox (RTB). The key feature of this combination is its ease of use – both tools are trivial to install. The tutorial is intended for teachers and students. Students will install the simulation environment on their laptop and learn everything they need to know to start implementing and testing robot algorithms. Teachers will return home with a ready-to-use recipe for organizing a master-level robotics project. This event follows our successful tutorial at IROS 2014. In this instance, we will focus on providing hands-on experience to the audience with an hour-long practice session.

More details can be found at the tutorial webpage: http://teaching-robotics.org/trs-icvs2015/

Topics:

  • Simulation of sensors and robots with V-REP robot simulator
  • Software development with Robotics Toolbox for MATLAB (RTB)
  • An integrated environment for teaching/learning robotics, use of sensors and actuators with a simulator.

 

Any questions or clarifications regarding ICVS 2015 Tutorials should be directed to any of the respective chairs:
Dima Damen, University of Bristol, UK
Renaud Detry, University of Liege, Belgium