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Found 8 papers, 0 papers with code
A Task-Oriented Dialogue Architecture via Transformer Neural Language Models and Symbolic Injection
Recently, transformer language models have been applied to build both task- and non-task-oriented dialogue systems.
TBD Pedestrian Data Collection: Towards Rich, Portable, and Large-Scale Natural Pedestrian Data
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.
Synergistic Integration of Large Language Models and Cognitive Architectures for Robust AI: An Exploratory Analysis
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).
Optimizing Algorithms From Pairwise User Preferences
Typical black-box optimization approaches in robotics focus on learning from metric scores.
AAAI SSS-22 Symposium on Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming
How should a robot adapt its proficiency criteria based on human intentions and values?
Towards Rich, Portable, and Large-Scale Pedestrian Data Collection
Recently, pedestrian behavior research has shifted towards machine learning based methods and converged on the topic of modeling pedestrian interactions.
Facilitating Connected Autonomous Vehicle Operations Using Space-weighted Information Fusion and Deep Reinforcement Learning Based Control
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.
Unremarkable AI: Fitting Intelligent Decision Support into Critical, Clinical Decision-Making Processes
This paper describes the design and field evaluation of a radically new form of DST.
