Robotic paradigm

In this article, we will explore the impact that Robotic paradigm has had on contemporary society. Robotic paradigm has become a topic of growing interest in recent years, since its influence covers different areas of daily life. Since its emergence, Robotic paradigm has generated debate and controversy, as well as driving significant changes in the way people perceive and experience the world around them. Throughout these pages, we will analyze the various facets of Robotic paradigm, examining its implications on culture, politics, technology, economics, and people's personal lives. Using a multidisciplinary approach, this article seeks to shed light on the profound impact Robotic paradigm has had on modern society.

In robotics, a robotic paradigm is a mental model of how a robot operates. A robotic paradigm can be described by the relationship between the three basic elements of robotics: Sensing, Planning, and Acting. It can also be described by how sensory data is processed and distributed through the system, and where decisions are made.

Hierarchical/deliberative paradigm

  • The robot operates in a top-down fashion, heavy on planning.
  • The robot senses the world, plans the next action, acts; at each step the robot explicitly plans the next move.
  • All the sensing data tends to be gathered into one global world model.
Hierarchical Paradigm schema

The reactive paradigm

  • Sense-act type of organization.
  • The robot has multiple instances of Sense-Act couplings.
  • These couplings are concurrent processes, called behaviours, which take the local sensing data and compute the best action to take independently of what the other processes are doing.
  • The robot will do a combination of behaviours.
Reactive Paradigm schema

Hybrid deliberate/reactive paradigm

  • The robot first plans (deliberates) how to best decompose a task into subtasks (also called “mission planning”) and then what are the suitable behaviours to accomplish each subtask.
  • Then the behaviours starts executing as per the Reactive Paradigm.
  • Sensing organization is also a mixture of Hierarchical and Reactive styles; sensor data gets routed to each behaviour that needs that sensor, but is also available to the planner for construction of a task-oriented global world model.
Hybrid Deliberate/Reactive Paradigm schema

See also

References

  • Asada, H. & Slotine, J.-J. E. (1986). Robot Analysis and Control. Wiley. ISBN 0-471-83029-1.
  • Arkin, Ronald C. (1998). Behavior-Based Robotics. MIT Press. ISBN 0-262-01165-4.