Organize and Share your Electronics the way you want. Sign-Up for a free account now. It takes only 30 seconds!

Open Source Project Proposes Vision-Free Grasping With RFID and Touchscreens

Open Source Project Proposes Vision-Free Grasping With RFID and Touchscreens

Liatris is an open-source hardware and software project (led by roboticist Mark Silliman) that does away with vision completely. Instead, you can determine the identity and pose of slightly modified objects with just a touchscreen and an RFID reader. It’s simple, relatively inexpensive, and as long as you’re not trying to deal with anything new, it works impressively well.

To get around the perception problem, Liatris uses a few clever tricks. First, each object has an RFID tag attached to it with a unique identifier, so that the robot can wirelessly detect what it’s working with. Once the robot has scanned the RFID tag, it looks the identifier up in an open source, global database of objects and downloads a CAD model and a grasp pose that “defines the ideal pose for the gripper prior to grasping the object.”

So now that you know what the object is and how to grasp it, you just need to know exactly where it is and what orientation it’s in. You can’t get that sort of information very easily from an RFID tag, so this is where the touchscreen comes in: Each object is (slightly) modified with an isosceles triangle of conductive points on the base, giving the touchscreen an exact location for the object, as well as the orientation, courtesy the pointy end of the triangle. With this data, the robot can accurately visualize the CAD model of the object on the touchscreen, and as long as it knows exactly where the touchscreen is, it can then grasp the real object based solely on the model. The robot doesn’t have to “see” anything: you just need the touchscreen and a RFID reader, and a headless robot arm can grasp just about whatever you want it to.

Source: Open Source Project Proposes Vision-Free Grasping With RFID and Touchscreens – IEEE Spectrum

 

More Articles to Read

LED traffic light
LED traffic light
Estimating Power for ADSP-BF561 Blackfin® Processors
Estimating Power for ADSP-BF561 Blackfin® Processors
Teach Your Arduino to Switch Itself Off!
Teach Your Arduino to Switch Itself Off!
Control a tracked robot with your mind (or joystick)
Control a tracked robot with your mind (or joystick)
A 400W (1kW Peak) 100A electronic load using linear MOSFETs
A 400W (1kW Peak) 100A electronic load using linear MOSFETs
Shirt Pocket Transceiver with the Si5351 and OLED
Shirt Pocket Transceiver with the Si5351 and OLED
All metal C930e webcam
All metal C930e webcam
The Soldering Tools That Make Your Life Easier
The Soldering Tools That Make Your Life Easier
App note: Operation evaluation of ultra low ON resistance MOSFET supporting quick charge for 1 c ...
App note: Operation evaluation of ultra low ON resistance MOSFET supporting quick charge for 1 cell Lithium ion battery protection
Synthesized Sidetone
Synthesized Sidetone

Top




Shares