Research output per year
Research output per year
Personal profile
Biography
Luis J. Manso is a Lecturer in Computer Science at the College of Engineering and Physical Sciences of Aston University.
Research Interests
Dr Manso's research interests include active perception, social and assistive robotics, ambient intelligence, robotic cognitive architectures, human-robot interaction, and deep geometric learning.
Teaching Activity
2022-2023
CS3IVP - Image and Video Processing
CS4340 - Software Engineering
CS4790 - Robotics and Autonomous Systems
CS4740 - Deep Learning
2021-2022
CS3330 - Image and Video Processing
CS4340 - Software Engineering
CS4790 - Robotics and Autonomous Systems
2020-2021
CS2230 - Operating Systems
CS3330 - Digital Image and Video Processing
CS4340 - Software Engineering
2018-2020
CS1020 - Java Programming Foundations
CS4330 - Data Structures and Algorithms
CS4340 - Software Engineering
PhD Supervision
Current PhD students
- Daniel Rodriguez-Criado - "Graph Neural Networks for Sensorised Environments"
- Goodluck Oguzie - "Combining Predictive Models and Evolutionary Strategies for Deep Reinforcement Learning"
- Kieran Saunders - "Self-supervised Monocular Depth Estimation"
- Vincent Gbouna - "Human Activity Analysis in Smart Environments"
Previous PhD students
- Marco A. Gutierrez - "Planned Cognitive Perception for Autonomous Robots"
Qualifications
HEA (Higher Education Academy) Fellow
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Survey on Socially Aware Robot Navigation: Taxonomy and Future Challenges
Singamaneni, P. T., Bachiller-Burgos, P., Manso, L. J., Garrell, A., Sanfeliu, A., Spalanzani, A. & Alami, R., 12 Feb 2024, (E-pub ahead of print) In: The International Journal of Robotics Research.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Multi-person 3D pose estimation from unlabelled data
Rodriguez-Criado, D., Bachiller-Burgos, P., Manso, L. J. & Vogiatzis, G., 6 Apr 2024, In: Machine Vision and Applications. 35, 18 p., 46.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Predictive World Models for Social Navigation
Oguzie, G., Ekárt, A. & Manso, L. J., 1 Feb 2024, Advances in Computational Intelligence Systems, Contributions Presented at the 22nd UK Workshop on Computational Intelligence. Naik, N., Jenkins, P., Grace, P., Yang, L. & Prajapat, S. (eds.). Springer, p. 53–64 13 p. (Advances in Intelligent Systems and Computing (AISC)).Research output: Chapter in Book/Published conference output › Conference publication
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Synthesizing Traffic Datasets using Graph Neural Networks
Rodriguez-Criado, D., Chli, M., Manso, L. J. & Vogiatzis, G., 13 Feb 2024, Proceedings of IEEE 26th International Conference on Intelligent Transportation Systems ITSC. IEEE, p. 3361-3368 8 p.Research output: Chapter in Book/Published conference output › Conference publication
Open AccessFile -
Dyna-DM: Dynamic Object-aware Self-supervised Monocular Depth Maps
Saunders, K., Vogiatzis, G. & Manso, L. J., 25 May 2023, 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC). Lopes, A. C., Pires, G., Pinto, V. H., Lima, J. L. & Fonseca, P. (eds.). IEEE, p. 10-16 7 p. (Proceedings of IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC)).Research output: Chapter in Book/Published conference output › Conference publication