Bio-Inspired Peripersonal-Space Sensors for Social Interaction

Abstract

For robots to engage with humans via social abilities, they will need to sense and coordinate actions in close proximity – within the peripersonal space of each other. Current peripersonal mapping systems rely on vision or touch, but none reach the capability of biological organisms that complement these sensors with whiskers, hair, fur or feathers. This proposal aims to develop novel bio-inspired sensors and algorithms for mapping reachable spaces around robots that enable them to cooperate on interaction tasks. Studies will use small heterogeneous robots with airborne and land based capabilities as platforms for peripersonal mapping systems, and demonstrate their application to social interaction spaces for robots. The project is expected to result in novel sensors, and principles and algorithms for peripersonal mapping that support social interaction between heterogeneous agents.

Document Details

Document Type
DoD Grant Award
Publication Date
Jul 15, 2016
Source ID
FA23861614026

Entities

People

  • Paul Pounds

Organizations

  • Air Force Office of Scientific Research
  • United States Air Force
  • University of Queensland

Tags

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Nanocomposite Materials Science

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • Autonomy
  • Autonomy - Autonomous System Control
  • Autonomy - Human-Robot Interaction
  • Space
  • Space - Spacecraft Maneuvers