6 citations · 17 across the 6 of their papers we have counts for
6 papers
Event-Driven Visual-Tactile Sensing and Learning for Robots
Tasbolat Taunyazov, Weicong Sng, Hian Hian See +5
This work contributes an event-driven visual-tactile perception system, comprising a novel biologically-inspired tactile sensor and multi-modal spike-based learning. Our neuromorph…
Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration
Joshua Lee, Jeffrey Fong, Bing Cai Kok +1
Common experience suggests that agents who know each other well are better able to work together. In this work, we address the problem of calibrating intention and capabilities in…
TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition
Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov +1
Tactile perception is crucial for a variety of robot tasks including grasping and in-hand manipulation. New advances in flexible, event-driven, electronic skins may soon endow robo…
The Evolutionary Dynamics of Independent Learning Agents in Population Games
Shuyue Hu, Chin-Wing Leung, Ho-fung Leung +1
Understanding the evolutionary dynamics of reinforcement learning under multi-agent settings has long remained an open problem. While previous works primarily focus on 2-player gam…
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…
Probabilistic Network Metrics: Variational Bayesian Network Centrality
Harold Soh
Network metrics form a fundamental part of the network analysis toolbox. Used to quantitatively measure different aspects of the network, these metrics can give insights into the u…