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Toward Context-Aware, Affective, and Impactful Social Robots
Morten Roed Frederiksen
Robotics, Evolution, and Art Lab
AIR Lab
Research output
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Theses
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PhD thesis
Overview
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Dive into the research topics of 'Toward Context-Aware, Affective, and Impactful Social Robots'. Together they form a unique fingerprint.
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Keyphrases
Behavioral Aspects
20%
Context-aware
100%
Context-awareness
40%
Contextual Information
60%
Contextual Knowledge
20%
Dene
20%
Design Phase
20%
Engineering Aspects
20%
Familiar Environment
20%
Human Attributes
20%
Human Interaction
20%
Human-like
20%
Human-robot Interaction
100%
Humanoid Robot
20%
Immediately Available
20%
Impact-based
100%
Input Type
20%
Interaction Modality
80%
Inuence
20%
Laugh
20%
Motion Characteristics
20%
Movement Patterns
20%
Multiple Interactions
40%
Multiple Persons
20%
Network Routing
20%
Non-humanoid Robots
20%
Nonverbal Communication
20%
Physical Context
80%
Physical Dimension
20%
Physical Environment
20%
Robot Behavior
40%
Robot Experiment
20%
Roboticists
20%
Sensor Data
20%
Simple Sensor
40%
Small Space
20%
Social Competence
20%
Social Context
20%
Social Interaction
60%
Social Requirements
20%
Social Robots
100%
Speech Patterns
20%
Technical Implementation
20%
Untapped Potential
20%
User Adaptation
20%
User-centric
20%
Verbal Communication
20%
Voice Characteristics
20%
Computer Science
context awareness
7%
Context Information
7%
Contextual Information
3%
Deep Understanding
3%
Design Phase
3%
Gain Knowledge
3%
Human Interaction
3%
Human Robot Interaction
18%
Humanoid Robots
7%
Individual User
3%
Nonverbal Communication
3%
Physical Context
14%
Physical Dimension
3%
Robot
100%
Social Context
3%
Social Robot
100%
Test Environment
3%
Verbal Communication
3%
Psychology
Familiarity
33%
Mood
33%
Nonverbal Communication
33%
Social Interaction
100%
Verbal Communication
33%