March 2015 Archives
I have the pleasure to present a new robot in the ROS family. The Social Robot Maggie (http://roboticslab.uc3m.es/ro
Here the ROS wiki page for more info:
http://wiki.ros.org/Robots/Mag
Furthermore, we would love to share what we have developed with the ROS community. We have published several packages in GitHub and soon we show some videos on how it is working.
Here the repository:
https://github.com/UC3MSocialR
Until now, we have released everything developed for the low-level of the robot. These nodes control the devices (motors, touch sensors, labjack controller, IR controller, servomotors, RFID, etc.) of the robot. And almost everything is implemented with unit tests and testing nodes.
We hope that our work could be useful for the community.
- A motion detector or smoke detector in OpenHAB triggers and ROS dispatches the robot to the location.
- ROS facial recognition recognizes a face at the door and OpenHAB unlocks the door.
- A Washing Machine indicates to OpenHAB that the load is complete
and ROS dispatches a robot to move
the laundry to the dryer. - The OpenHAB MQTT binding indicates that Sarah will be home soon and a sensor indicates that the temperature is hot. ROS dispatches the robot to bring Sarah's favorite beer. OpenHAB turns on her favorite rock music and lowers the house temperature.
- A user clicks on the OpenHAB GUI on an IPAD and selects a new room location for the robot for telepresence. The message is forwarded by the openhab_bridge to ROS and ROS dispatches the robot.
- A sentry robot enters a dark area and sends a command to OpenHAB to turn on the lights in that area.
is a customized version of the Robotis Bioloid kit. It uses low-cost,
light-weight 2D Scanning technology available from Rhoeby Dynamics (based
on the TeraRanger 1DOF sensor), and supports SLAM, Navigation and Obstacle
Avoidance.
* Robotis Bioloid "Spider" chassis (with custom legs)
* Robotis Cm9.04 MCU board
* Nexus 4 phone provides IMU (and tele-prescence camera)
* Rhoeby Dynamics 2D Infra-Red LiDAR Scanner
* Bluetooth link to robot for command and status
* Remote laptop running ROS Indigo
Software Features
* 3-DOF Inverse Kinematic leg control
* Holonomic-capable gait
* Odometric feedback
* 2D LiDAR scanning
* ROS node for robot control
If interested, you could find more information at:
http://wiki.ros.org/Robots/
And see our website at:
http://wwww.rhoeby.com
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Dear colleagues,
We would like to invite you to participate in the first Robot Construction Kit (Rock) Workshop:
http://rock-robotics.org
In parallel to the 13th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA) at the European Space Research and Technology Centre (ESTEC) and the Experts Forum on Robot Control Operating Systems (RCOS) for space and industrial applications.
http://www.congrexprojects.
Noordwijk (The Netherlands) 11 May 2015.
It will consist of 20-30 minutes presentations concerning technical talks from developers and users in a similar style of ROSCon and PyCon.
Theme:
Development, tutorials and robotics field application using Rock/Orocos are welcome to contribute. Sustainable systems, scalability, re-usability, field/ real-time applications, system deployment, plan managers, rock integration with existing systems, communication layers, error handling, system recovery and other topics concerning the use and development of Rock/Orocos in robotics are relevant to participate.
Proposal submission:
Technical talks of all topics related to Rock/Orocos are invited to participate in the workshop. Best workshop talk will be awarded!
Proposal submission deadline: 1 April 2015
Notification of Acceptance: 17 April 2015
Further info http://blog.rock-robotics.org/
You have a unique opportunity. Robotics is a new frontier, and every new
frontier needs its explorers. We need you. We need you to be passionate
and tireless. We need you to eat, breathe, and dream robotics.
Peruse the items listed below. You should either have experience with and/or interest in all of them.
Control systems
Computer vision
Sensor fusion / adaptive filters
Motion planning
Behavioral robotics
Probabilistic robotics
Human-machine interaction
Embedded systems
Aerial systems
3D graphics
At Rapyuta Robotics we're developing the next generation of low-cost, cloud-connected robotic systems. We're a technology spin-off from ETH Zurich.
Prerequisites:
We are announcing the detailed agenda for the ROS-Industrial Consortium Americas annual meeting, which will take place in conjunction with Automate 2015. Note that there is also a pre-meeting dinner on March 26 that is included with your registration.
Time: 8:30 AM - 4:00 PM CST (Chicago time) on Friday, March 27
Place: Palmer House Hilton Hotel, Chicago Room on 5th floor. Only two miles from the McCormick Place convention center in Chicago, IL.
Agenda:
- 0830 Registration/check-in and light breakfast
- 0900 Welcome and Consortium updates
- 0945 ROS-I Roadmap Presentation
- 1000 Break
- 1015 Invited ROS-I Presentations
- Cessna/CNRC - Robotic Routing
- Caterpillar - Agile Automation
- Wolf Robotics - Technology Transfer to Practical Applications
- UNC - Real-Time Motion Planning & Proximity Computations for Industrial Robots
- GA Tech - Canonical Robot Command Language
- Siemens - ROS Simulation for Industrial Applications with Tecnomatix
- 1215 Lunch/Keynote: Fraunhofer IPA - Factory in a Day Project - Reducing System Integration Time to One Day
- 1300 Focused Technical Project Presentations - 2015
- Robotic Blending Milestone 3: Expedite and Technology Transfer
- Strategic Project: CAD to ROS Conversion
- Best of Amazon Picking Challenge
- On-Line Adaptive Cartesian Path Planner for Collaborative Robotics
- 1400 Breakout discussions about FTPs
- 1500 Lightning talks by Research Members
- 1600 Conclusion
Registration: Registration Link
How many people can we send?
- Full Members - 3
- Associate Members - 2
- Research Members - 1
- Additional Members - $300 EA
Not a member? Join Now
We look forward to seeing you there!
Interns will work closely with staff researchers on a directed research project related to the candidate's background. Examples contain (but are not limited to):
- Perception: Topics in sensor calibration, on-line monitoring to detect out-of-calibration sensors, turn signal detection, classification, etc.
- Deep learning: Topics in computer vision (traffic light, vehicle turn signal, road surface detection) and prediction (vehicle trajectories, driver intent, situation analysis)
- Localization: Improving vehicle localization in GPS-limited environments, e.g. using visual localization and tight GPS/IMU coupling.
- Prediction: Improving behavioral prediction of traffic participants, e.g. through learning traffic behavior patterns from data, or by incorporating turn signal information.
- Planning: Motion & behavior planning, automated behavior testing via traffic scenario generation and modeling in simulation.
Details and online application:
http://www.bosch.us/content/
Availability: all year
- Gradle version -> 2.2
- More (and easier) methods of generating message artifacts.
- Build rosjava debs on the build farm without special workarounds
- Android Studio 1.x support
- Android interactions/pairing now stable with tutorials.
- Lots of other minor fixes and updates.
after not knowing how to properly name packages for NAO, I wrote a REP for how to name ROS packages:
https://github.com/ros-
The original discussion with awesome reviewers happened at:
https://github.com/ros-
The draft is now in the process of becoming official (or rejected) so if you have any feedback, please continue the discussion here:
https://github.com/ros-
Degree Level: M.S. with at least 3 years of prior experience or Ph.D.
Major(s): Robotics, Computer Science, Engineering, or a related field.
Your Duties and Tasks:
Perform research, develop, implement and evaluate algorithms for real-time motion planning in environments with dynamic obstacles for safe and comfortable motion of human users.
Skills / Job Requirements:
- Ph.D. or M.S. in computer science, engineering, robotics, or a related field
- Excellent knowledge and proven expertise in motion planning approaches in robotics.
- Working knowledge of optimization methods and optimal control methods.
- Excellent C++ programming expertise required, Python programming is a plus
- Proven system integration and software architecture skills
- Knowledge of Linux, and development on Linux systems preferred
- The ability to develop, understand and implement complex algorithms efficiently and correctly
- Experience with modern software engineering tools
- Experience working independently in a large software setting
- Experience working on robot and/or automotive electronics hardware a plus, as is experience with simulation environments and ROS
- Excellent communication skills and demonstrate a proven ability to multitask and deliver on challenging software development tasks
Details and online application:
http://www.bosch.us/content/
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