Examples of Gibsonian Affordances in Legged Robotics Research Using an Empirical, Generative Framework

Abstract

Evidence from empirical literature suggests that explainable complex behaviors can be built from structured compositions of explainable component behaviors with known properties. Such component behaviors can be built to directly perceive and exploit affordances. Using six examples of recent research in legged robot locomotion, we suggest that robots can be programmed to effectively exploit affordanceswithout developing explicit internal models of them. We use a generative framework to discuss the examples, because it helps us to separateand thus clarify the relationship betweendescription of affordance exploitation from description of the internal representations used by the robot in that exploitation.

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Document Details

Document Type
Technical Report
Publication Date
Feb 20, 2020
Accession Number
AD1100999

Entities

People

  • Daniel E. Koditschek
  • Lisa J. Miracchi
  • Sonia Roberts

Organizations

  • University of Pennsylvania

Tags

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Brain
  • Case Studies
  • Cognitive Science
  • Computational Science
  • Control Systems
  • Deep Learning
  • Detectors
  • Inertial Measurement Units
  • Mechanics
  • Motion Planning
  • Navigation
  • Nerve Net
  • Nervous System
  • Psychology
  • Signal Processing
  • Systems Engineering

Fields of Study

  • Computer science

Readers

  • Artificial Intelligence
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Human-Robot Interaction