Editorial on Advances in Machine Learning and Robotics

Machine Learning is opening door to entirely new automation possibilities. It is set to disrupt practically every industry imaginable. Presently, machine learning are being applied in limited methods and are enhancing the abilities of industrial robotic systems. There is always room for improvement for the full potential of robotics and machine learning but applications are advantageous. There are four major areas for robotic process and machine learning are impacting to make current applications more efficient and beneficial. It includes Vision – machine learning is aiding robots to detect items that they have never seen before and analyze objects with greater detail. Grasping – robots are also gripping objects that they have never seen before with machine learning it is assisting them to determine the best position and orientation to hold the object. Motion Control – with the assistance of machine learning robots are able to have dynamic interaction and obstacle avoidance to maintain productivity. Data – with the help of machine learning and artificial intelligence robot can understand physical and logistical data patterns to be proactive and act appropriately.