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liatris.org

Liatris

Liatris is an open source project that allows an object’s pose and identity to be determined using capacitive touch and RFID technology. - learn_turtlebot_index

http://www.liatris.org/

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Liatris | liatris.org Reviews
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Liatris is an open source project that allows an object’s pose and identity to be determined using capacitive touch and RFID technology. - learn_turtlebot_index
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1 liatris
2 and python
3 introduction
4 object requirements
5 rfid
6 local network
7 touch screen
8 transform points
9 rfid reader
10 moveit
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liatris,and python,introduction,object requirements,rfid,local network,touch screen,transform points,rfid reader,moveit,grasping an object,future upgrades,markwsilliman,mwsilliman,fork the project
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Liatris | liatris.org Reviews

https://liatris.org

Liatris is an open source project that allows an object’s pose and identity to be determined using capacitive touch and RFID technology. - learn_turtlebot_index

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liatris.org liatris.org
1

Object Requirements

http://liatris.org/2015/02/01/2

Objects must be rigid to be compatible. All objects must be metal. The conductive properties of metal objects allow them to be read by projected capacitance touch screens. Projected capacitance touch screens. Were selected due to their superior multi-touch capabilities. Each object must have three conductive points. Below its base. These points can be anywhere below the base of the object, but must have a distinct arrangement as described below. Results of layout of LP and OPs. Liatris is an open source ...

2

Grasping an Object

http://liatris.org/2015/02/01/10

Future Upgrades ». Liatris’ API tells the robot how to grasp an object. This includes x,y and z offsets relative to the COB. The API also returns a yaw value telling the gripper what angle is ideal. In practice, this results in a reliable mobile manipulation solution. Liatris instructs Baxter how to grasp a kettle. Future Upgrades ». Liatris is an open source project that allows an object’s pose and identity to be determined using capacitive touch and RFID technology. Contribute to the Project.

3

About

http://liatris.org/about

The ability to reliably read an object’s pose and identity without relying on vision will rip down the barriers that prevent robotics from being present in our everyday lives. Fully autonomous robotics can be developed. If objects can tell the robot not only what they are but what their purpose is and how to utilize them. I ask you to contribute to Liatris. The project is vast and requires a wide range of expertise. But the potential is real and the benefits can be acquired in the short term.

4

Touch Screen

http://liatris.org/2015/02/01/6

Laquo; Local Network. Transform Points ». When an object is placed on a touch screen, the python script. POSTs all three touch points to the local network. The local network will then determine the LP and orientation of the object. We use a multi-touch projected capacitive touch screen that supports 20 simultaneous touch points. This allows us to accurately determine the pose of many objects placed on the same screen. Note: Other types of touch screens, like those that use infrared touch.

5

Transform Points

http://liatris.org/2015/02/01/7

Laquo; Touch Screen. RFID Reader ». When an object is placed on the touch screen, the Kivy script POSTs the x and y percentages to the local network. To allow the grippers to interact with the object, the script must transform any touch screen point to the robot’s coordinate system. One way to do this is to manually tell the robot where three corners of the screen are, relative to its own coordinate system. Every time the robot’s main script liatris.py. Laquo; Touch Screen. RFID Reader ».

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marksilliman.com marksilliman.com

markwsilliman – Mark Silliman

https://marksilliman.com/author/markwsilliman

SaaS for Robotics is being developed at Tend.ai. March 28, 2016. Is an open-source project that determines any object’s exact pose and identity using a touch screen and RFID reader. It’s primarily programmed in ROS. Learn more at http:/ liatris.org/. August 27, 2015. To state the obvious, bringing robots to the mainstream will require a massive number of people passionately developing robots. Lets bring robots to every home. Please share and contribute to the learn.turtlebot.com. February 16, 2015.

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