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
- Technical Report
- Publication Date
- Aug 24, 2023
- Accession Number
- AD1216465
Entities
People
- Pauline Pounds
Organizations
- University of Queensland