1 / 18

Introduction to Behavior-Based Robotics

Introduction to Behavior-Based Robotics. Based on the book Behavior-Based Robotics by Ronald C. Arkin. What is a Robot?.

tudor
Télécharger la présentation

Introduction to Behavior-Based Robotics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Introduction to Behavior-Based Robotics Based on the book Behavior-Based Robotics by Ronald C. Arkin

  2. What is a Robot? • A robot is a re-programmable, multi-functional, manipulator designed to move material, parts, tools, or specialized devices through variable programmed motions for the performance of a variety of tasks. • Robotics is the intelligent connection of perception to action.

  3. What is a Robot? (cont.) • An intelligent robot is a machine able to extract information from its environment and use knowledge about its world to move safely in a meaningful and purposive manner.

  4. Related Areas • Cybernetics • Artificial intelligence • Robotics

  5. Spectrum of Robot Control • Deliberative/Hierarchical control • Requires relatively complete knowledge about the world. • Requires strong assumptions about this world model. • Hierarchical in structure with a clear identifiable subdivision of functionality. • Communication and control occurs in a predictable and predetermined manner. • Higher levels in the hierarchy provide subgoals for lower subordinate levels. • Planning scope changes during descent in the hierarchy.

  6. Spectrum of Robot Control (cont) • Reactive control • Reactive control is a technique for tightly coupling perception and action, typically in the context of motor behaviors, to produce timely robotic response in dynamic and unstructured worlds. • Behaviors serve as the basic building blocks for robotic actions. • Use of explicit abstract representational knowledge is avoided in the generation of a response. • Animal models of behavior often serve as a basis. • Reactive systems are inherently modular from a software design perspective.

  7. Design Paradigms for Building Behavior-Based Systems • Ethologically guided/constrained design • Situated activity-based design • Experimentally driven design

  8. Expressions of Behaviors • Stimulus-response (SR) diagrams • Functional notation b(s) = r • Finite state acceptor (FSA) diagrams Behavior Stimulus Response

  9. Expressions of Behaviors (cont) • A Navigational Example Consider a student going from one classroom to another. The following kinds of things are involved. • Getting to the destination from current location • Not bumping into anything along the way • Skillfully negotiating the way around other students • Observing cultural customs • Coping with change and doing whatever else is necessary

  10. Behavior Encoding • Mapping from the stimulus plane to the motor plane. • A behavior can be expressed as a triple (S, R, β) where S denotes the domain of all interpretable stimuli, R denotes the range of possible responses, and βdenotes the mappingβ:S->R. • Discrete encoding • Continuous functional encoding

  11. Assembling Behaviors • Behavioral coordination • Competitive methods • Cooperative methods

  12. Behavior-Based Architectures • Definition Robot architecture is the discipline devoted to the design of highly specific and individual robots from a collection of common software building blocks.

  13. Behavior-Based Architectures (cont) • Evaluation Criteria • Supporting for parallelism • Hardware targetability • Niche targetability • Support for modularity • Robustness • Timeliness in development • Run time flexibility • Performance effectiveness

  14. Behavior-Based Architectures (cont) • A foraging example The tasks consists of a robot’s moving away from a home base area looking for attractor objects. • Wander • Acquire • Retrieve

  15. Behavior-Based Architectures (cont) • Subsumption architecture (Brooks) • AFSM model • It is a layered architecture that uses arbitration strategies and AFSM as its basis. • Coordination: Inhibition and suppression • Pros • Hardware retargetability • Support for parallelism • Niche targetability • Cons • Run time flexibility • Support for modularity

  16. Behavior-Based Architectures (cont) • Motor schemas (Arkin) • A schema is the basic unit of behavior from which complex actions can be constructed; it consists of the knowledge of how to act or perceive as well as the computational process by which it is enacted. • Motor schemas are a software-oriented dynamic reactive architecture that is non-layered and cooperative.

  17. Behavior-Based Architectures (cont) • Motor schemas (cont) • Coordination: vector summation • Pros • Support for parallelism • Run time flexibility • Timeliness for development and support for modularity • Cons • Niche targetability • Hardware retargetability

  18. Behavior-Based Architectures (cont) • Other architectures • Circuit architecture • Colony architecture • Animate agent architecture • Distributed architecture for mobile navigation • Skill network architecture

More Related