This Monday the long awaited USB to Serial adapters arrived. This means that all crickets can finally be connected to the the computer. This should make the localization software more precise!
Now it is just a matter of installing them on the desktop pc and all the net-books. Luckily this is not much work!
Wednesday, October 12, 2011
Monday, August 29, 2011
Exciting new assignment for the Bachelor research project!
This assignment is available for Bachelor students of Mechanical Engineering at 3mE, TU Delft. Course code: WBTP303, BSc research project (2011-2012 Q1)
In the field of robotics, small relatively inexpensive mobile robots are becoming more and more common. This is a result of the technological advances and development in relatively inexpensive communication, computation and sensing devices. These small robots, can be used in a variety of applications, ranging from search and rescue to surveillance. Although the objective differs from application to application, in general the underlying assumption is that the robots are capable of moving towards points of interest autonomously. Therefore reliable and computationally cheap algorithms have to be implemented and tested to make this assumed capability a reality.
The aim of the project is to develop such a reliable and computationally cheap algorithm that ensures that a mobile robot (or multiple of them) arrives at desired given locations (way-points) with the right orientation. The algorithm(s) have to be implemented and demonstrated on the real test-bed experiment in the Distributed Robotics Lab at DCSC, where six iRobot Create platforms are available.
Once such algorithm is tested and has shown its reliability, free space is given to creativity to design coordinated way-point following methods with all the available mobile robots. So: Let your mind run free and come up with an exciting way to demonstrate your algorithm!
In short, will you join us, and further the research in this exiting area?
There are some demands and requirements for this project. These are:
In the field of robotics, small relatively inexpensive mobile robots are becoming more and more common. This is a result of the technological advances and development in relatively inexpensive communication, computation and sensing devices. These small robots, can be used in a variety of applications, ranging from search and rescue to surveillance. Although the objective differs from application to application, in general the underlying assumption is that the robots are capable of moving towards points of interest autonomously. Therefore reliable and computationally cheap algorithms have to be implemented and tested to make this assumed capability a reality.
The aim of the project is to develop such a reliable and computationally cheap algorithm that ensures that a mobile robot (or multiple of them) arrives at desired given locations (way-points) with the right orientation. The algorithm(s) have to be implemented and demonstrated on the real test-bed experiment in the Distributed Robotics Lab at DCSC, where six iRobot Create platforms are available.
Once such algorithm is tested and has shown its reliability, free space is given to creativity to design coordinated way-point following methods with all the available mobile robots. So: Let your mind run free and come up with an exciting way to demonstrate your algorithm!
In short, will you join us, and further the research in this exiting area?
There are some demands and requirements for this project. These are:
- Select and develop a suitable algorithm for way-point following.
- Design and implement a Matlab interface that uses the information supplied from the available camera system to drive the mobile robot to the desired location.
- Test and demonstrate the system.
Thursday, October 28, 2010
The Group
Wednesday, October 27, 2010
Tuesday, July 20, 2010
The new location and a swarm of robots
Wednesday, June 9, 2010

BSc project from the last half year is finally finished. It's focus was to implement and compare control systems to make the robot drive a specified trajectory. The control systems were combinations of 2 state estimators and 4 controllers. The state estimators filter out cricket noise and improve the state update frequentie by using prediction and the odometry data provided by sensors on the robot. The controllers try to control the robot in such a way to follow a timestamped trajectory as accurately as possible by using the data from the state estimator.
The BSc project group implemented a Particle Filter and improved the Unscented Kalman filter that was already present. The implemented controllers are the Linear feedback-, Non Linear feedback-, Dynamic feedback- and a PD controller. Besides these control algorithms a complete new MATLAB framework to test them was build. Finally the different combinations were tested in a simulation environment. The most promissing were tested in the lab with a figure 8 test trajectory. The error with the trajectory was determined using a ceiling mounted vision recognition camera.
-group 21-713
Labels:
controller,
Groomba,
state estimation,
trajectory control
Thursday, January 14, 2010
BSc. Project wrap up
Hi all,
the BSc. Project is finished, and we have very nice results to show! The students designed a new configuration for the iRobot and they compared camera and cricket systems. Below their poster. Things are really moving!
and.. happy new year!
btw, we have the name of the first robot: Druznik. Thanks to the BSc. guys!
-andrea
the BSc. Project is finished, and we have very nice results to show! The students designed a new configuration for the iRobot and they compared camera and cricket systems. Below their poster. Things are really moving!
and.. happy new year!
btw, we have the name of the first robot: Druznik. Thanks to the BSc. guys!-andrea
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