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Intern
Fraunhofer IWU• March 2019 - May 2019
Project: Grasping an object using Deep Reinforcement Learning using a camera. Goal: Robot should pick a single industrial object from the clutter of industrial object. Developed a simulator of UR10 robot with custom gripper in V-REP. Inverse kinematic is implemented from V-REP inbuilt module. Implemented external script to control gripper in python. Implemented Deep Q-learning using Pytorch. - Successfully trained the DQN model for grasping a single industrial object from the clutter of industrial object.
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