Fuzzy Gesture Expression Model for an Interactive and Safe Robot Partner
Alexis Stoven-Dubois, Janos Botzheim, Naoyuki Kubota

TL;DR
This paper introduces a fuzzy emotional model for robot gestures and facial expressions, enhancing natural and safe human-robot interaction through a kinematic approach and experimental validation.
Contribution
It presents a novel fuzzy emotional model for robot gesture and facial expression expression, integrating kinematic control with an interactive emotional framework.
Findings
Successful implementation of the fuzzy emotional model
Effective robot gesture expression demonstrated
Enhanced safety and naturalness in interaction
Abstract
Interaction with a robot partner requires many elements, including not only speech but also embodiment. Thus, gestural and facial expressions are important for communication. Furthermore, understanding human movements is essential for safe and natural interchange. This paper proposes an interactive fuzzy emotional model for the robot partner's gesture expression, following its facial emotional model. First, we describe the physical interaction between the user and its robot partner. Next, we propose a kinematic model for the robot partner based on the Denavit-Hartenberg convention and solve the inverse kinematic transformation through Bacterial Memetic Algorithm. Then, the emotional model along its interactivity with the user is discussed. Finally, we show experimental results of the proposed model.
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Taxonomy
TopicsSocial Robot Interaction and HRI · Robotics and Automated Systems · Hand Gesture Recognition Systems
