Project and Problem based Sensor Data Fusion for Fruit Sorting Robotic System

From the very basic design studies to a working Fruit Sorting Robotic System based on vision system and strain gauge based gripper arm, a project was successfully run in Department of EE, IT and Cybernetics of Telemark University College (TUC)with staff and the exchange PhD student Damian Pakulski of Lodz University of Technology.

With the tools used in project and problem based approach using tools techniques commonly used at TUC, both time and targets set were followed by the people involved in the project. Vision system, gripper and gripper sensorics and the necessary algorithm to control the robot using this system were all developed during the last six months.

The participants in the project have been Damian Pakulski, Morten Pedersen, Eivind Fjelldalen, Øyvind Johansen and Saba Mylvaganam. Preliminary work with the robot was done by many groups of bachelor students at TUC over the past few years. This work is of interest to many due to its interdisciplinary approach, system integration involving sensors and robotics with a modern approach based on 3D-printing using facilities in the TUC for almost all the components needed for the “robot gripper”.