IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Facial expression recognition for human-robot interaction: a prototype
RobVis'08 Proceedings of the 2nd international conference on Robot vision
Mobile robot navigation modulated by artificial emotions
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An architecture for affective management of systems of adaptive systems
MACE'10 Proceedings of the 5th IEEE international conference on Modelling autonomic communication environments
Evolutionary algorithm for a genetic robot's personality
Applied Soft Computing
Exploring generation of a genetic robot's personality through neural and evolutionary means
Data & Knowledge Engineering
A model that simulates the interplay between emotion and internal need
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
Emotions in autonomous agents: comparative analysis of mechanisms and functions
Autonomous Agents and Multi-Agent Systems
Evolutionary algorithm for a genetic robot's personality based on the Myers-Briggs Type Indicator
Robotics and Autonomous Systems
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As robot designers, we tend to emphasize the cognitive aspect of intelligence when designing robot architectures while viewing the affective aspect with skepticism. However, scientific studies continue to reveal the deeply intertwined and complementary roles that cognition and emotion play in intelligent decision-making, planning, learning, attention, communication, social interaction, memory, and more. Such findings provide valuable insights and lessons for the design of autonomous robots that must operate in complex and uncertain environments and perform in cooperation with people. This paper presents a concrete implementation of how these insights have guided our work, focusing on the design of sociable autonomous robots that interact with people as capable partners.