In order for robots to interact with humans, they must be able not only to listen and understand humans, but to communicate with them. Allow communication to be two-way in human-human interaction results in more robust and error free interaction; we anticipate seeing a similar increase and speed in accuracy in human-robot interaction. In this work, we provide a Baxter robot the ability to use speech and gesture to communicate its state to a human collaborator. We describe not only how this speech and gesture should be performed, but also models for how this speech and gesture is interpreted, which allows us to estimate the human's state of mind, which allows the robot to make decisions informed by its partner's state of mind in addition to its own.
Wu, Emily,
"Generating speech and gesture for robotic communication"
(2015).
Summer Research Symposium.
Brown Digital Repository. Brown University Library.
https://doi.org/10.26300/ze5z-sc22
Each year, Brown University showcases the research of its undergraduates at the Summer Research Symposium. More than half of the student-researchers are UTRA recipients, while others receive funding from a variety of Brown-administered and national programs and fellowships and go …
