Intelligent Adaptative Robotic System for Physical Interaction Tasks

Big steps in the last years have been made in robotics. From mobile robots for home tasks to fully automatized systems in industrial environments. In the beginning, the main focus of robotics was to provide robotics solutions to tackle the necessity of improving both, productivity in repetitive tasks and safeguarding people in dangerous environments. Nowadays, following the advances in technology and industry 4.0, these objectives have changed to more demanding ones. These require flexible and autonomous intelligent solutions, i.e. systems capable of performing a variety of tasks with the minimum programming or system specifications. With the rise of Artificial Intelligence, novel algorithms have been developed, and let improve robotics systems capabilities by becoming more intelligent and autonomous. The aim of this work is the development of an adaptative intelligent robotic system for physical interaction tasks. In this kind of task, the robot has a strong physical interaction with the environment, driving dynamical requirements to fulfill the task. To achieve this, a Three system framework made up of control, monitoring, and adaptative systems is proposed.