Publication

In the context of distance education, lab and field work are a considerable challenge for students, professors, and institutions. The Telepresence Robot Empowered Smart Lab (TRESL) system is a new and emerging technology with a potential to overcome this challenge.

The main goals of the TRESL symposiums are to propose a conceptual model, to define the ultimate goals of the proposed solution, and to present its system architecture and the modules to support the functions and features.

No. Publication
1Qing Tan, Marc Denojean-Mairet, Hongxue Wang, Xiaokun Zhang, Frédérique Pivot, and Roland Treu (2019). "Toward a Telepresence Robot Empowered Smart Lab". Publication in Smart Learning Environments, (2019) 6: 5. https://doi.org/10.1186/s40561-019-0084-3
2 Ramona Plogmann, Qing Tan, Frédérique Pivot (2019). “Design the HCI Interface Through Prototyping for the Telepresence Robot Empowered Smart Lab”. Published in the proceeding of the 19th International Conference on Intelligent Systems Design and Applications, Online, December 3-5, 2019.
3Morteza Kiadi, Qing Tan, Jose R. Villar (2019). “Optimized Path Planning in Reinforcement Learning by Backtracking”. Published in Journal of Current Trends in Computer Science & Applications, Volume 1, Issue 4, July 26, 2019. DOI:10.32474/CTCSA.2019.01.000116
4Enol García, José R. Villar, Qing Tan, Camelia Chira, Javier Sedano (2022). “An Efficient Multi-Robot Path Planning Solution Using A* and Coevolutionary Algorithms”, Journal of Integrated Computer Aided Engineering, Vol. 30, no. 1, pp.41-52, 2023, DOI: 10.3233/ICA-220695
5Morteza Kiadi, Enol García, José R. Villar & Qing Tan (2022). A*-Based Co-Evolutionary Approach for Multi-Robot Path Planning with Collision Avoidance, Cybernetics and Systems, DOI: 10.1080/01969722.2022.2030009. Published on January 31, 2022.
6 Nicholas Jeffrey, Qing Tan, José R. Villar (2023). “A hybrid methodology for anomaly detection in Cyber–Physical Systems”, Neurocomputing, Volume 568, 2024, 127068, ISSN 0925-2312, https://doi.org/10.1016/j.neucom.2023.127068.
7 Jeffrey, Nicholas, Qing Tan, and José R. Villar (2023). "A Review of Anomaly Detection Strategies to Detect Threats to Cyber-Physical Systems" Electronics 12, no. 15: 3283. https://doi.org/10.3390/electronics12153283
8Samson Mihirette, Qing Tan, and Enrique Antonio de la Cal Martin (2023). “Intent Recognition using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach”. Published in the proceeding of the 18th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2023), Salamanca, Spain, September 5 - 7, 2023.
9Kiadi M., Tan Q. (2018) Machine Learning: A Convergence of Emerging Technologies in Computing. In: Hassanien A., Tolba M., Elhoseny M., Mostafa M. (eds). The International Conference on Advanced Machine Learning Technologies and Applications (AMLTA2018). AMLTA 2018. Advances in Intelligent Systems and Computing, vol 723. Springer, Cham/em>
10Jeffrey, Nicholas, Qing Tan, and José R. Villar. 2023. " Using Ensemble Learning for Anomaly Detection in Cyber–Physical Systems " Electronics 13, no. 7: 3390. https://doi.org/10.3390/electronics13071391
11Morteza Kiadi, Qing Tan, Jose R. Villar (2019). “Optimized Path Planning in Reinforcement Learning by Backtracking”. Published in Journal of Current Trends in Computer Science & Applications, Volume 1, Issue 4, July 26, 2019. DOI:10.32474/CTCSA.2019.01.000116
12Samson Mihirette, Qing Tan, and Enrique Antonio de la Cal Martin (2023). “Intent Recognition using Recurrent Neural Networks on Vital Sign Data: A Machine Learning Approach”. Published in the proceeding of the 18th International Conference on Hybrid Artificial Intelligence Systems (HAIS 2023), Salamanca, Spain, September 5 - 7, 2023
13Nicholas J. Jeffrey, Qing Tan, Jose R. Villar (2023). “Intrusion Detection and Prevention in Industrial Internet of Things: A Study”. Published in the proceeding of 16th International Conference on Computational Intelligence in Security for Information (CISIS 2023), Salamanca, Spain, September 5 - 7, 2023
14Nicholas J. Jeffrey, Qing Tan, Jose R. Villar (2022). “Anomaly Detection of Security Threats to Cyber-Physical Systems: A Study”. Published in the proceeding of 17th International Conference on Soft Computing Models in Industrial and Environmental Applications, Salamanca, Spain, September 6 - 8, 2022
15J. Jeffrey, Qing Tan, Jose R. Villar (2022). “Simulators and Testbeds for IIOT Development and Validation”. Published in the proceeding of the 2022IEEE International OI, Electros and Mechatronics Conference (IEMTRONICS), Toronto, Canada, June 1 - 4, 2022
16Morteza Kiadi, Jose R. Villar, Qing Tan (2020). “Synthesized A* Multi-robot Path Planning in an Indoor Smart Lab Using Distributed Cloud Computing”. Published in the proceeding of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), Burgos, Spain, June 24 -26, 2020
17Behzad Karim, Qing Tan, Juan Carlos Alvarez (2020). “Towards Fog-based HiTLCPS for Human Robot Interactions in Smart Lab: Use Cases & Architecture Overview”. Published in the proceeding of the 15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020), Burgos, Spain, June 24 -26, 2020
18M. Denojean-Mairet, Q. Tan, F. Pivot and M. Ally, "A Ubiquitous Computing Platform - Affordable Telepresence Robot Design and Applications," 2014 IEEE 17th International Conference on Computational Science and Engineering, Chengdu, 2014, pp. 793-798, doi: 10.1109/CSE.2014.162.