---
title: "Papers on Influencing Behavioral Attributions and Generating Backchannels to Appear at CoRL"
date: 2021-09-14 12:00 -0600
type: link
categories: news uw
published: true
link: https://openreview.net/search?term=nick+walker&group=robot-learning.org%2FCoRL&content=all&source=all&sort=cdate%3Adesc
---

To appear as posters at the [Conference on Robot Learning](https://www.robot-learning.org) in November (virtually, I would guess):
* A paper describing [how a robot can shape perceptions of its motion while doing a task](https://openreview.net/forum?id=UIaodSPHNFN). I'm happy that we were able to model this problem cleanly, and especially happy that our method works even with a tricky domain coverage. iRobot, if you're reading this, get in touch 😉
* Some new work describing [how you can get a robot to make natural-seeming back-channels](https://openreview.net/forum?id=0WDtVJVwBcf) (nods, in this paper) based on human speech signals and a head-pose estimate. All it took was a fairly small amount of human-human interaction data, and the models are small enough that you can run them on real robots. 
Add CoRL papers news note
Add CoRL papers news note
