Webotsâ„¢
Newsletter
News for the Webotsâ„¢
user community.
February
2009
Webots 6.1.0
released!
Webot
6.1.0 is available for download for Linux
32, Linux
64, Mac
OS X and Windows!
This new version adds new features and fixes a number of bugs of the
previous version
(6.0.1). It introduces a new Display device to simulate a screen on
which the robot controller can draw any text or graphics, adds support
for a native Matlab programming interface for the robot and supervisor
controllers, includes sample simulations used in the Cyberbotics'
Robot Curriculum as well as a new model of the Nao robot
(V3) and associated Robotstadium
simulation setup. The complete change log is available here.
Cyberbotics'
Robot Curriculum
Nicolas
Heiniger completed the Cyberbotics'
Robot Curriculum during his master thesis and published it as a wiki book. This book is intended
to students, teachers, hobbyists and researchers interested in
intelligent robots. It helps understanding what robots are and how to
program them. It is illustrated by the use of Webots and the e-puck
robot. It includes
two parts: a short theoretical part and a longer practical part. The
practical part is composed of one chapter about the computer
configuration and five chapters of exercises corresponding to five
levels of difficulty from simple obstacle avoidance to Self
Localization and Mapping (SLAM). After reading this book, the reader
should be able to
design his/her own intelligent robots. You are welcome to contribute to
this book which is released under a copyleft license agreement.
Robotstadium
competition about to start again!
The 2009 edition of the robotstadium competition, based
on the Nao robot and the Standard Platform League (SPL) of the RoboCup
soccer competition, is about to start with the release of Webots 6.1.0!
The simulation includes a
completely redesigned and improved robot model corresponding to the new
V3 Nao robot which includes two cameras instead of one, an improved
referee implementation (including an improved throw-in rule). The
robotstadium simulation has also been optimized regarding the foot
sensors of the robot and it overall runs now approximately 10% faster
than the previous simulation.