Course Search, Navigate, and Actuate

"Zoeken, Sturen en Bewegen"

This is the information of year 2008

The site of the previous year 2007 can be found here.

Description

The official description of course baiZSB6 can be found (in Dutch) here. Also a Blackboard portal to this information is available.

Contents

• Search Algorithms
  Game playing is an example of type of problems that can easily decomposed in subproblems. For interesting games, like chess, the tree of subproblems grows to fast to be searched exhaustively, so other approaches are necessary. To solve the game we have to find a solution tree regardless of the opponent's replies.
  • MiniMax principle
  • alpha-beta algorithm
  • increasing the effectiveness with advice rules

• Path planning
  You have had planning algorithms such as A* that work on graphs. So let's try to reformulate the path planning problem as a graph problem. These graphs are somewhat special, it is convenient to see them as discretized spaces because this leads to better implementations. So then we need the notion of configuration space to explain the graph's properties.
  • A* revisited
  • Mapping path planning as graph search
  • Task space and discretized configuration space
  • Kinematics -> connectivity
  • Criteria -> metric
  • Obstacles -> forbidden nodes
  • Examples: robot arm and self-parking car
  • Other approaches of mapping path planning into graphs

• Trajectory planning
  If you have setpoints, how to make it into a controllable path.

• Rigid body motion
  • physical rigid bodies as idealization
  • physical space as vector space
  • representing motions using linear algebra (coordinate-free)
  • isometries
  • proof of decomposition theorem: rigid body motion = rotation followed by translation
  • coordinates: vector spaces in the computer
  • rotation matrices: how to design them
  • reference angles: Euler angles
  • homogeneous coordinates

• Kinematics of linked mechanisms
  • Denavit-Hartenberg notation
  • Forward kinematics
  • Inverse kinematics (briefly)
  • Redundancy and degeneracy (briefly)
  • Differential kinematics

Schedule

This schedule has some correspondance with the official schedule, but in case of doubt use this page as reference.

Week 23

Week 24

Week 25

Week 26

It is not the result that counts, but your summery of your survey. Document your progress, experiments and decisions in a LabBook.

With a working system, and the acquired knowledge, you can explore new possibilities.

Here are the surveys of previous years:

• the surveys of the 2007 students, see Experiment2007
• the surveys of the 2006 students, see Experiment2006
• the surveys of the 2005 students, see Experiment2005
• the surveys of the 2004 students, see Experiment2004

• Path-planning for a Hemisson-robot
• Path-planning for a Aibo-robot
• Extend the checkmate problem to more complex situations
• Refine the visualisation of the Virtual robot.
• Creating a gamepad interface for a virtual Aibo (Visual Basic)

You will be evaluated on your LabBook at the end of the week.

Evaluation

The course was overall evaluated by the participants with a 7.7 .

Literature

For the implementation in prolog we will look at chapter 22 of Prolog Programming for Artificial Intelligence by Ivan Bratko.
This book was explored until chapter 13 in the previous course Logic Programming and Search Techniques.

A short introduction will be given based on the second part of Introduction to AI Robotics by Robin Murphy: Navigation.
Part I book was in the previous years explored in the course Reactive Behaviours. This 1th year course is replaced by the 3rd year course Probabibilistic Robotics. Murphy's book is not longer required.

Further we use the syllabus 'An Introduction to Robotics' by Leo Dorst and a lab manual. The syllabus available from the Dikatenverkoop (check the opening times at the VIA-site).

Inheritance

In the old days, when Bachelors were not schooled at Dutch Universities, a different course was given with another focus. Still, much can be learned from the course 'Robotica'.