PuppetAI: A Customizable Platform for Designing Tactile-Rich Affective Robot Interaction
Jiaye Li, Tongshun Chen, Siyi Ma, Elizabeth Churchill, and Ke Wu

TL;DR
PuppetAI is a modular, customizable soft robot platform designed for tactile-rich, expressive human-robot interaction, featuring scalable actuation, affective modeling, and real-time emotional responses.
Contribution
The paper introduces PuppetAI, a scalable, modular soft robot platform with a puppet-inspired gesture framework and a four-layer software architecture for expressive robot interaction.
Findings
Supports real-time emotional gestural responses to human vocal input
Reduces operational complexity and production costs
Enables customization of nuanced robot gestures
Abstract
We introduce PuppetAI, a modular soft robot interaction platform. This platform offers a scalable cable-driven actuation system and a customizable, puppet-inspired robot gesture framework, supporting a multitude of interaction gesture robot design formats. The platform comprises a four-layer decoupled software architecture that includes perceptual processing, affective modeling, motion scheduling, and low-level actuation. We also implemented an affective expression loop that connects human input to the robot platform by producing real-time emotional gestural responses to human vocal input. For our own designs, we have worked with nuanced gestures enacted by "soft robots" with enhanced dexterity and "pleasant-to-touch" plush exteriors. By reducing operational complexity and production costs while enhancing customizability, our work creates an adaptable and accessible foundation for…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
