Michael S Lee
Biographic Data
| ID | 6357410 |
|---|---|
| NAME | Michael S Lee |
| GIVEN NAMES | Michael S |
| FAMILY NAME | Lee |
| SIGNATURE | LEE M S |
| AFFILIATIONS | University of Auckland |
| ORCID | 0000-0001-8407-3423 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Improving the Transparency of Robot Policies Using Demonstrations and Reward Communication
Demonstrations are a powerful way to teach robot decision-making to humans. Although informative demonstrations may be selected a priori using the machine teaching framework, student learning may deviate from the pre-selected curriculum in situ. This article thus explores augmenting a curriculum of pre-selected demonstrations with a closed-loop teaching framework inspired by principles from the education literature, such as the zone of proximal d…
Ethnic foods serving cultural bridge or barrier? A systematic literature review
Building the Foundation of Robot Explanation Generation Using Behavior Trees
As autonomous robots continue to be deployed near people, robots need to be able to explain their actions. In this article, we focus on organizing and representing complex tasks in a way that makes them readily explainable. Many actions consist of sub-actions, each of which may have several sub-actions of their own, and the robot must be able to represent these complex actions before it can explain them. To generate explanations for robot behavio…
No prominent works on this page.
Building the Foundation of Robot Explanation Generation Using Behavior Trees
As autonomous robots continue to be deployed near people, robots need to be able to explain their actions. In this article, we focus on organizing and representing complex tasks in a way that makes them readily explainable. Many actions consist of sub-actions, each of which may have several sub-actions of their own, and the robot must be able to represent these complex actions before it can explain them. To generate explanations for robot behavio…
Ethnic foods serving cultural bridge or barrier? A systematic literature review
Improving the Transparency of Robot Policies Using Demonstrations and Reward Communication
Demonstrations are a powerful way to teach robot decision-making to humans. Although informative demonstrations may be selected a priori using the machine teaching framework, student learning may deviate from the pre-selected curriculum in situ. This article thus explores augmenting a curriculum of pre-selected demonstrations with a closed-loop teaching framework inspired by principles from the education literature, such as the zone of proximal d…
Artificial Intelligence (2 works) · Computer Science (2 works) · Human–computer interaction (2 works) · Psychology (2 works) · Reinforcement Learning in Robotics (2 works) · Robot (2 works) · Anthropology (1 works) · Bayesian Modeling and Causal Inference (1 works) · Behavior-based robotics (1 works) · Bridge (graph theory (1 works)