General information
| Team name: | The Great Cornholio |
| Institution: | University of Applied Science Osnabrueck |
| Department: | Engineering and Computer Sciences |
| Contact: | This email address is being protected from spambots. You need JavaScript enabled to view it. |
Team details
| Mentors: | Arno Ruckelshausen, Andreas Linz |
| Members: | Fabian Ellermann, Lukas Goll, Steffen Hellermann, Fabian Lankenau, Adrian Merrath, Peter Purnyn, Andreas Trabhardt, Heiko Willms, Oliver Wulfers |
Robot – basic information
| Web page: | http://www.ecs.hs-osnabrueck.de/teamfieldrobot.html | ||
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Dimensions: (W ×L ×H) |
44x69x54 | ||
| Weight: | 25 kg | ||
| Num. of wheels: | 4 | Turning radius: | 0 |
| Rain resistance: | None (umbrella) | ||
Robot – mechanical details
| Drive concept: | Skid drive |
| Steering: | Differential steering |
| Special characteristics: | As it is typical for robots basing on ''Volksbot'' – the robot-platform of the Frauenhofer Institute – Cornholio's case relies on item profiles, making it easy to mount sensors. The profiles and the cover panels are made of aluminium. As a light metal the usage of aluminium saves weight so the robot will be able to move faster. |
Robot – electrical details
| Powered by: | Lead-acid Battery 24 V | |||
| Motors: | 2x Maxon RE 40 | |||
| Controller: | 2x Maxon Motor EPOS2 70/10 | |||
| Sensors: | Camera: | 2x LeanXcam | Compass: | Razor IMU |
| Ultrasonic: | Gyroscope: | Razor IMU | ||
| Infrared: | Nippon Signal FX-8 | Accelerometer: | Razor IMU | |
| Laser: | SICK LMS100, SICK TIM 551 | Mechanical: | ||
| Other: | Kinect 2.0 | |||
| Communication: | Ethernet, Wi-Fi & Bluetooth | |||
Robot – Software
| Operating system: | ROS |
| Programed in: | C++ |
| Tools: | Eclipse |
| Other: |
Robot – Strategy
| 1st task: | Using a laser scanner to determine the location of entrances to enter the rows. Also using the laser scanner to determine the best path to take through the rows to avoid contacting the plants. |
| 2nd task: | Same as task #1 however we preload the pattern to follow through the rows. |
| 3rd task: | Using an RGB camera to detect brown plants on either side as we traverse the rows, we record the position using odometry data and play a sound effect. |
| Free style: | TBD |
Robot – Investment
| Work hours: | 500+ |
| Components: | |
| Other: | |
| Sponsored by: | Amazone, Electronic Assembly, Exsys, iotec, Mayr, Sick |
Problems / Challenges
Other
