The  new system,  developed in the Department’s Machine Intelligence Laboratory, is capable of performing the peeling process including full leaf removal, 50 per cent  of the time, and reports the process taking an average of 27 seconds to complete. 

With its soft, delicate leaves, lettuces pose particular problems if they are to be handled automatically. But the research team, led by Dr Fumiya Iida, Lecturer in Mechatronics, has now addressed the issues. Reports www.eng.cam.ac.uk the, “…creation of a 3D-printed circular nozzle, mounted on the end of a robotic arm and tested with a suction system, acts as the single vacuum suction point. It is designed to grab a leaf and remove it from the main body of the lettuce using a tearing action, without causing damage to the produce.

“Crucial to the accuracy of the leaf tearing is the use of computer vision to locate and determine the positioning of the lettuce. It does this by first detecting the lettuce stem with the aid of a 2D web camera placed directly above and within the assumed field of vision. In cases wher the stem cannot be found, an action will be taken to flip the lettuce over by applying a horizontal force and rolling the lettuce with a soft pad attached to the robot arm. Better positioning of the lettuce can then be achieved with the outer leaf on top and with minimal risk of damage. 

“Cambridge PhD student Luca Scimeca, from the Biologically Inspired Robotics Laboratory (BIRL), worked on the vision system. He said the robot could be applied to many other crops, such as cauliflower, which is far less fragile and which poses less challenges when it comes to computer vision analysing its orientation. 

-----------------------------------------------------------------------

Editors Note:

To apply for becoming a contributor of En-SJGLE.com,

welcome to send your CV and sample works to us,

Email: Julia.Zhang@ubmsinoexpo.com.