no code implementations • SIGDIAL (ACL) 2021 • Oscar J. Romero, Antian Wang, John Zimmerman, Aaron Steinfeld, Anthony Tomasic
Recently, transformer language models have been applied to build both task- and non-task-oriented dialogue systems.
no code implementations • 29 Sep 2023 • Allan Wang, Daisuke Sato, Yasser Corzo, Sonya Simkin, Abhijat Biswas, Aaron Steinfeld
Compared with existing pedestrian data collection methods, our system contains three components: a combination of top-down and ego-centric views, natural human behavior in the presence of a socially appropriate "robot", and human-verified labels grounded in the metric space.
no code implementations • 18 Aug 2023 • Oscar J. Romero, John Zimmerman, Aaron Steinfeld, Anthony Tomasic
This paper explores the integration of two AI subdisciplines employed in the development of artificial agents that exhibit intelligent behavior: Large Language Models (LLMs) and Cognitive Architectures (CAs).
no code implementations • 8 Aug 2023 • Leonid Keselman, Katherine Shih, Martial Hebert, Aaron Steinfeld
Typical black-box optimization approaches in robotics focus on learning from metric scores.
no code implementations • 5 Apr 2022 • Michael Goodrich, Jacob Crandall, Aaron Steinfeld, Holly Yanco
How should a robot adapt its proficiency criteria based on human intentions and values?
no code implementations • 3 Mar 2022 • Allan Wang, Abhijat Biswas, Henny Admoni, Aaron Steinfeld
Recently, pedestrian behavior research has shifted towards machine learning based methods and converged on the topic of modeling pedestrian interactions.
no code implementations • 30 Sep 2020 • Jiqian Dong, Sikai Chen, Yujie Li, Runjia Du, Aaron Steinfeld, Samuel Labi
From a general perspective, its implementation can provide guidance to connectivity equipment manufacturers and CAV operators, regarding the default CR settings for CAVs or the recommended CR setting in a given traffic environment.
no code implementations • 21 Apr 2019 • Qian Yang, Aaron Steinfeld, John Zimmerman
This paper describes the design and field evaluation of a radically new form of DST.