End-User Puppeteering of Expressive Movements
Hongyu Wang, Nikolas Martelaro

TL;DR
This paper introduces a puppeteering interface for social robots that enables users, even novices, to intuitively program expressive movements through real-time manipulation and feedback.
Contribution
It presents a novel puppeteering interface that simplifies programming expressive robot movements, improving accessibility for non-expert users.
Findings
Users can efficiently design expressive movements with minimal training
Real-time replication provides immediate visual feedback
Preliminary user study shows promising usability
Abstract
The end-user programming of social robot behavior is usually limited by a predefined set of movements. We are proposing a puppeteering robotic interface that provides a more intuitive method of programming robot expressive movements. As the user manipulates the puppet of a robot, the actual robot replicates the movements, providing real-time visual feedback. Through this proposed interface, even with limited training, a novice user can design and program expressive movements efficiently. We present our preliminary user study results in this extended abstract.
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Taxonomy
TopicsReinforcement Learning in Robotics · Social Robot Interaction and HRI · Teaching and Learning Programming
