Three more repositories were announced over the weekend:
LASA-ros-pkg: ROS node for position control of the Barrett WAM from EPFL-LASA.
roblab-whge-ros-pkg: The first contributed project is the ROSScan3D stack which creates 3D point clouds with semantic information like floors, walls, celling, room dimensions and the text of the doorplates found in this scan area. The 3D scan is created by a mobile robot, in this case a Roomba from iRobot, a Sick laser scanner LMS 100 and a Canon standard high resolution digital camera.
TYROS: The first published source there is TIChronos/src/ti_chronos_joy.cpp, which
turns a Texas Instruments Chronos watch into a ROS-compatible joystick publisher. The included launch file works with turtlesim demo.
While we can not approve of the robot's method for making "coffee", the pneumatic muscles20 electric motors clearly allow the hand to be quite dexterous and capable of many useful tasks. The hand can also perform delicate operations such as picking up light bulbs or using tweezers, though it looks like it may need gloves to do the dishes.
The Polonius stack provides a GUI interface for researchers to perform Human Robot Interaction (HRI) experiments. The GUI provides a means for non-programmers to control a smach state machine and trigger actionlib events to control the robot during 'wizard of oz style' experiments.
The motion_capture stack provides tools for integrating data in c3d format from a motion capture systems into a point cloud in ROS.
Mr. Lu!! has also developed roswiki_node, a concept for meta documentation that generates wiki formatted documentation from a package's source code. A great idea that could use more contributors to expand the package's capabilities. The tool could also be useful for documenting your next ROS package.
Speaking of documentation, we still have t-shirts so Round Two of the ROS Documentation Contest is now open. So enter your documentation today!
Menglong Zhu at Penn has given PR2 a fantastic new skill: the ability to read. Using the literate_pr2 software he wrote, PR2 can drive around and read aloud the signs that it sees. Whether it's writing on a whiteboard, nameplates on a door, or posters advertising events, the ability to recognize text in the real world is an important skill for robots.
Although performing OCR on text is not a new technology, performing it in the real world is much more difficult as text can be written anywhere and first you have to find it. Menglong's code is able to detect areas of text in a camera image and perform text recognition on them separately.
This is another great contribution to ROS from the GRASP Lab. For more information, please see the literate_pr2 page on the ROS wiki.
Last month, we introducedTurtleBot, a low-cost robot built on open source software. Today we're pleased to announce that the TurtleBot hardware is going open source!
We've had a great response to TurtleBot from hobbyists and developers, including a lot of interest from people who want to build their own robots, starting with components they already have. And we're delighted to see similar ROS-based low-cost mobile robots like Bilibot, POLYRO, and PrairieDog. So we decided that we can best support this emerging community by publishing all the information needed to build your own TurtleBot. Following the recently established Open Source Hardware (OSHW) definition, we will make available part numbers, CAD drawings for laser-cut hardware, board layouts and schematics, and all the necessary documentation.
Everything is coming together at turtlebot.com, a portal for all things TurtleBot and a place for the community to exchange ideas, including your own designs. To stay up to date as the site develops, subscribe to the TurtleBot announcement list.
We're currently lining up suppliers of components; if you're interested in selling TurtleBot parts, send email to firstname.lastname@example.org.
g2o is available as a package under the vslam stack. g2o is an open-source C++ framework for optimizing graph-based nonlinear
error functions. g2o has been designed to be easily
extensible to a wide range of problems and a new problem typically
can be specified in a few lines of code. The current implementation
provides solutions to several variants of SLAM and BA.
A wide range of problems in robotics as well as in computer-vision
involve the minimization of a non-linear error function that can be
represented as a graph. Typical instances are simultaneous
localization and mapping (SLAM) or bundle adjustment (BA). The
overall goal in these problems is to find the configuration of
parameters or state variables that maximally explain a set of
measurements affected by Gaussian noise. g2o is an open-source C++
framework for such nonlinear least squares problems. g2o has been
designed to be easily extensible to a wide range of problems and a
new problem typically can be specified in a few lines of code. The
current implementation provides solutions to several variants of SLAM
and BA. g2o offers a performance comparable to implementations of
state-of-the-art approaches for the specific problems.
Please see the vslam page for installation instructions.
Yesterday at Google I/O, developers at Google and Willow Garage
announced a new rosjava library
that is the first pure-Java implementation of ROS. This new library
was developed at Google with the goal of enabling advanced Android
apps for robotics.
The library, tools, and hardware that come with Android devices are
well-suited for robotics. Smartphones and tablets are sophisticated
computation devices with useful sensors and great user-interaction
capabilities. Android devices can also be extended with additional
sensor and actuators thanks to the Open Accessory and Android @ Home
were announced at Google I/O,
The new rosjava is currently in alpha release mode and is still under
active development, so there will be changes to the API moving
forward. For early adopters, there are Android
to help you send and receive sensor data to a robot.
This announcement was part of a broader talk on Cloud Robotics, which
was given by Ryan Hickman and Damon Kohler of Google, as well Ken
Conley and Brian Gerkey of Willow Garage. This talk discusses the
many possibilities of harnessing the cloud for robotics applications,
from providing capabilities like object recognition and voice
services, to reducing the cost of robotics hardware, to enabling the
development of user interfaces in the cloud that connect to robots
remotely. With the new rosjava library, ROS developers can now take
advantage of the Android platform to connect more easily to cloud services.
ROS just reached a new milestone: 100 public, open-source repositories! From top robotics research labs around the world to companies to hobbyists, these repositories hold the many contributions of the quickly growing ROS community. Back in November when we celebrated the third anniversary of ROS, we had just hit 52 repositories. In six months, that number has nearly doubled.
The 100th repository is rl-texplore-ros-pkg from the University of Texas at Austin and focuses on the area of reinforcement learning. We look forward to their contributions, along with the many other members of the ROS community that have helped us reach this milestone.
Tim Payne (aka UglyBuddha) has posted a guide on Instructables for building your own POLYRO (oPen sOurce friendLY RObot) using an iRobot Create, Kinect, Dynamixels, and Logitech QuickCams.
This is an instructable on building a relatively low-cost wheeled robot platform, for developing ROS applications. Think of ROS as an operating system for your robot (providing hardware abstraction, device drivers, libraries, visualizers, message-passing, package management, and more). THIS ROBOT IS NOT PLUG AND PLAY. ROS runs on Ubuntu, so you should feel comfortable working with Linux.
POLYRO is based off of the TurtleBot platform (from the good folks at Willow Garage) and inspired a great deal by Pi Robot (developed by Patrick Goebel). I designed this platform with Human-Robot Interaction (HRI) in mind. This is the first of many future iterations, so check for updates to the design. Please keep an open mind when following this tutorial. Many of the parts and tools can be substituted (or purchased for less) and there are many improvements to be made. As always, when working with power tools use the proper safety equipment.
Announcement from David Lu of Washington University in St. Louis to ros-users
Today I am pleased to announce the release of 2 new stacks and 1 new
package as part of the Washington University repository.
First, the Polonius stack.
Polonius is a robot control interface designed for running Wizard of
Oz style experiments. This work was presented in poster form at
HRI2011, and was also used to control a short robot theatre piece we
put on last September, the video for which is being presented at the
Robots and Art workshop at ICRA next week.
Second, the motion_capture stack.
This contains our initial work at incorporating motion capture data
into ROS, initially just using the c3d data format. Tools for
analyzing this sort of data will be released in the future.
Third, a ROS Wiki documentation tool, roswiki_node.
This package contains code to make documentation a bit easier by
automatically generating the CS/NodeAPI code used on the wiki
automatically using your source code.