Deep neural network based physical response prediction using correlated patterns in dynamic sensor input for adaptive robots
Project:
Research
Project status
Finished
Description
How can we improve the social context detection abilities of social robots?
What is the impact of embodied system in lessening the symptoms of anxiety?
Investigating the impact and role of embodiment and physical presence for therapeutic robots through development and testing of a multimodal hardware robot solution with a focus on audio, visual, and tactile communication
What is the impact of embodied system in lessening the symptoms of anxiety?
Investigating the impact and role of embodiment and physical presence for therapeutic robots through development and testing of a multimodal hardware robot solution with a focus on audio, visual, and tactile communication
Project Information
Project Type
Research
Project Collaborators
- University of Southern California
Acronym
DEEPTime Period
01/04/2022 – 01/04/2024Status
FinishedFunding Details
DEEP - Deep neural network based physical response prediction using correlated patterns in dynamic sensor input for adaptive robotsAward
FundersAmounts
Independent Research Fund Denmark
1612001 DKK