Methods of Generating Emotional Movements and Methods of Transmitting Behavioral Intentions: A Perspective on...

Area of Science:

• Robotics
• Human-Computer Interaction
• Affective Computing

Background:

• Human-coexistence and human-symbiotic robots require intuitive interaction methods.
• Current robot movement generation and intention communication lack standardization.
• Understanding robot emotions and intentions is crucial for social robotics.

Purpose of the Study:

• To introduce and discuss methods for generating emotional robot movements.
• To introduce and discuss methods for transmitting robot behavioral intentions.
• To highlight areas for future research in human-robot interaction.

Main Methods:

• Emotional movement generation: Discusses Laban movement analysis, circumplex model of affect, and human movement imitation.
• Behavioral intention transmission: Examines informative motions in arm manipulation (reaching, handover, throwing) and general movement intention communication.

Main Results:

• No general technique currently exists to imbue robot movements with specific emotions.
• Research on informative motions for specific robotic tasks (e.g., reaching, handover) is limited.
• No fundamentally groundbreaking methods have been proposed for transmitting robot movement intentions.

Conclusions:

• Significant advancements are needed in generating emotional robot movements.
• Further research is essential for effective robot behavioral intention communication.
• Future development is expected to enhance human-robot coexistence and symbiosis.