Grasping Assisting Algorithm in Tele-Operated Robotic Gripper

The involvement of Robots and automated machines in different industries has increased drastically recent years. Part this revolution is accomplishing tasks previously performed by humans with advanced robots, which would replace the entire human workforce future. In some workers are required to complete operations hazardous or difficult environments. Operations like these could be replaced use tele-operated systems that have capability grasping objects their surroundings, thus abandoning need for physical presence operator at area while still allowing control. research our goal create an assisting system improve a using robotic gripper arm, advising but not forcing solution. For given set we computed optimal grasp achieved gripper, based on two quality measures choosing (namely power precision grasp). We then tested performance subjects who tried system, comparing success unassisted assisted grasping. Our algorithm compute grasps might integrated into complete, state-of-the-art system.