79 citations · 218 across the 30 of their papers we have counts for
5 papers · 1 filter
Latent Emission-Augmented Perspective-Taking (LEAPT) for Human-Robot Interaction
Kaiqi Chen, Jing Yu Lim, Kingsley Kuan +1
Perspective-taking is the ability to perceive or understand a situation or concept from another individual's point of view, and is crucial in daily human interactions. Enabling rob…
MIRROR: Differentiable Deep Social Projection for Assistive Human-Robot Communication
Kaiqi Chen, Jeffrey Fong, Harold Soh
Communication is a hallmark of intelligence. In this work, we present MIRROR, an approach to (i) quickly learn human models from human demonstrations, and (ii) use the models for s…
Embedding Symbolic Temporal Knowledge into Deep Sequential Models
Yaqi Xie, Fan Zhou, Harold Soh
Sequences and time-series often arise in robot tasks, e.g., in activity recognition and imitation learning. In recent years, deep neural networks (DNNs) have emerged as an effectiv…
Embedding Symbolic Knowledge into Deep Networks
Yaqi Xie, Ziwei Xu, Mohan S. Kankanhalli +2
In this work, we aim to leverage prior symbolic knowledge to improve the performance of deep models. We propose a graph embedding network that projects propositional formulae (and…
Applying Probabilistic Programming to Affective Computing
Desmond C. Ong, Harold Soh, Jamil Zaki +1
Affective Computing is a rapidly growing field spurred by advancements in artificial intelligence, but often, held back by the inability to translate psychological theories of emot…