Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Stephanie Rosenthal"'
Publikováno v:
ACM Transactions on Human-Robot Interaction. 11:1-19
As robots are deployed to work in our environments, we must build appropriate expectations of their behavior so that we can trust them to perform their jobs autonomously as we attend to other tasks. Many types of explanations for robot behavior have
Autor:
Stephanie Rosenthal, Manuela Veloso
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 26:2067-2073
Indoor autonomous mobile service robots can overcome their hardware and potential algorithmic limitations by asking humans for help. In this work, we focus on mobile robots that need human assistance at specific spatially-situated locations (e.g., to
Publikováno v:
2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).
Publikováno v:
2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC).
Publikováno v:
2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI).
Publikováno v:
CHI Extended Abstracts
While machine learning algorithms continue to improve, their success often relies upon the data scientists’ ability to detect patterns, determine useful features and visualizations, select good models, and evaluate and iterate upon results. Data sc
Autor:
Aaron Steinfeld, Xiang Zhi Tan, Samantha Reig, Elizabeth J. Carter, Gierad Laput, Stephanie Rosenthal
Publikováno v:
HRI
People take to social media to share their thoughts, joys, and sorrows. A recent popular trend has been to support and mourn people and pets that have died as well as other objects that have suffered catastrophic damage. As several popular robots hav
Autor:
Stephanie Rosenthal, Tingting Chung
Publikováno v:
SIGCSE
Data science is a growing field at the intersection of mathematics, computer science, and domain expertise. Like many universities that are building data science degree programs for undergraduates, our small, liberal-arts university saw increasing op
Publikováno v:
The International Journal of Robotics Research. 37:558-565
This paper presents a dataset of natural language instructions for object reference in manipulation scenarios. It comprises 1582 individual written instructions, which were collected via online crowdsourcing. This dataset is particularly useful for r
Publikováno v:
ACM Transactions on Human-Robot Interaction. 7:1-3