APPLICATION OF MACHINE LEARNING & ROBOTICS

APPLICATION OF MACHINE LEARNING & ROBOTICS

ABSTRACT

Machine Learning is a branch of Artificial Intelligence and is gaining importance. If Machine Learning is applied to robots then they can learn by themselves and thus help to reduce the tedious task of monitoring, programming and also will minimize the overhead charges.
    The paper takes into consideration the introduction of Machine Learning and its applications to robotics with a case study.
  The paper briefly explains the method of learning with a case study of system able of performing complex manipulation task. A manipulation system that can observe dynamic changes in the environment in real time. This consists of a grasping system that uses a high-speed visual and force feedback technique having a multi-fingered hand-arm with a hierarchical parallel processing system and a high-speed vision system SPE-256 and Grasping with high responsiveness and adaptive ness to dynamic changes in the environment is realized by Machine Learning.