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Extended Tactile Perception: Vibration Sensing through Tools and Grasped Objects


Jun 01, 2021
Tasbolat Taunyazov, Luar Shui Song, Eugene Lim, Hian Hian See, David Lee, Benjamin C. K. Tee, Harold Soh

* 9 pages, 7 figures 

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Embedding Symbolic Temporal Knowledge into Deep Sequential Models


Jan 28, 2021
Yaqi Xie, Fan Zhou, Harold Soh


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Refining Deep Generative Models via Wasserstein Gradient Flows


Dec 01, 2020
Abdul Fatir Ansari, Ming Liang Ang, Harold Soh

* Preprint 

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Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization


Nov 17, 2020
Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, Harold Soh

* Accepted to 34th Conference on Neural Information Processing Systems (NeurIPS 2020). Includes Appendix. 21 pages 

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Event-Driven Visual-Tactile Sensing and Learning for Robots


Sep 15, 2020
Tasbolat Taunyazov, Weicong Sng, Hian Hian See, Brian Lim, Jethro Kuan, Abdul Fatir Ansari, Benjamin C. K. Tee, Harold Soh

* RSS 2020, Code and Datasets are available at https://clear-nus.github.io/visuotactile/index.html 

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Getting to Know One Another: Calibrating Intent, Capabilities and Trust for Human-Robot Collaboration


Aug 03, 2020
Joshua Lee, Jeffrey Fong, Bing Cai Kok, Harold Soh

* IROS 2020 

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TactileSGNet: A Spiking Graph Neural Network for Event-based Tactile Object Recognition


Aug 01, 2020
Fuqiang Gu, Weicong Sng, Tasbolat Taunyazov, Harold Soh

* IROS 2020 

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The Evolutionary Dynamics of Independent Learning Agents in Population Games


Jun 29, 2020
Shuyue Hu, Chin-Wing Leung, Ho-fung Leung, Harold Soh


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ST-MNIST -- The Spiking Tactile MNIST Neuromorphic Dataset


May 08, 2020
Hian Hian See, Brian Lim, Si Li, Haicheng Yao, Wen Cheng, Harold Soh, Benjamin C. K. Tee

* Corresponding authors: Benjamin C.K. Tee and Harold Soh For dataset, see http://www.benjamintee.com/stmnist 10 Pages, 4 Figures and 2 Tables 

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A Characteristic Function Approach to Deep Implicit Generative Modeling


Sep 16, 2019
Abdul Fatir Ansari, Jonathan Scarlett, Harold Soh

* 20 pages (including appendix) 

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Semantically-Regularized Logic Graph Embeddings


Sep 05, 2019
Yaqi Xie, Ziwei Xu, Kuldeep Meel, Mohan S Kankanhalli, Harold Soh

* *Equal contribution; Accepted at conference Neural Information Processing Systems (NeurIPS), 2019 

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Robot Capability and Intention in Trust-based Decisions across Tasks


Sep 03, 2019
Yaqi Xie, Indu P Bodala, Desmond C. Ong, David Hsu, Harold Soh

* ACM/IEEE Conference on Human Robot Interaction (HRI), 2019 

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Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series


May 30, 2019
Zhi-Xuan Tan, Harold Soh, Desmond C. Ong

* 8 pages (excl. references), 3 figures 

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Applying Probabilistic Programming to Affective Computing


Mar 15, 2019
Desmond C. Ong, Harold Soh, Jamil Zaki, Noah D. Goodman

* Accepted by IEEE Transactions on Affective Computing. 12 pages, 6 figures 

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Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning


Nov 22, 2018
Min Chen, Stefanos Nikolaidis, Harold Soh, David Hsu, Siddhartha Srinivasa

* Chen and Nikolaidis contributed equally to the work. Appeared In Proceedings of 2018 ACM/IEEE International Conference on Human-Robot Interaction, Chicago, IL, USA, (HRI 2018) 

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Hyperprior Induced Unsupervised Disentanglement of Latent Representations


Sep 17, 2018
Abdul Fatir Ansari, Harold Soh

* 14 pages (including appendix) 

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Generation Meets Recommendation: Proposing Novel Items for Groups of Users


Aug 02, 2018
Vinh Vo Thanh, Harold Soh

* 20 pages, 6 figures, Accepted to Recsys'18 

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The Transfer of Human Trust in Robot Capabilities across Tasks


Jul 05, 2018
Harold Soh, Pan Shu, Min Chen, David Hsu

* 9 pages, 7 figures, RSS conference 

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Probabilistic Network Metrics: Variational Bayesian Network Centrality


Jun 03, 2015
Harold Soh

* 17 pages, 6 figures 

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