Dr Pascal Meissner
Dr.-Ing., MIEEE
Lecturer
- About
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Biography
Pascal Meissner received a Master's degree (’10) and a PhD (’18) in computer science from Karlsruhe Institute of Technology (KIT), Germany. He held a research scholarship of FZI Research Center for Computer Science, Germany ('10-'13) and was a research assistant with KIT ('13-'17). Then, after having been head of a Junior Research Group at KIT as a postdoc (’18-'20), he joined the academic staff of the University of Aberdeen, United Kingdom as a Lecturer (’20). His areas of interest lie in 'computer vision', 'machine learning', and 'probabilistic state estimation' for autonomous robots. His research work includes the development of 'object localization', 'scene understanding', and 'view planning' capabilities for mobile robots as well as the investigation of 'machine learning' techniques for industrial manipulators. Dr. Meissner is an associate editor of several IEEE conference proceedings and an active member of the IEEE Robotics and Automation Society (MIEEE’15).
- Research
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Research Areas
Accepting PhDs
I am currently accepting PhDs in Engineering.
Please get in touch if you would like to discuss your research ideas further.
Research Specialisms
- Mechatronics and Robotics
- Artificial Intelligence
- Machine Learning
- Computer Vision
Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.
Supervision
My current supervision areas are: Engineering.
Supervisees
- MR ALDO MORENO MARTEL
- MS VALERIJA HOLOMJOVA
- Teaching
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Programmes
- Postgraduate, 3 semester, September start
- Publications
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Page 1 of 2 Results 1 to 10 of 17
Learning a Generative Transition Model for Uncertainty-Aware Robotic Manipulation
Contributions to Conferences: PapersTrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space
Contributions to Journals: Conference Articles- [ONLINE] DOI: https://doi.org/10.1109/ICRA40945.2020.9196711
- [ONLINE] View publication in Scopus
Self-Supervised Learning for Precise Pick-and-Place Without Object Model
IEEE Robotics and Automation Letters, vol. 5, no. 3, pp. 4828 - 4835Contributions to Journals: LettersTrueAdapt: Learning Smooth Online Trajectory Adaptation with Bounded Jerk, Acceleration and Velocity in Joint Space
Chapters in Books, Reports and Conference Proceedings: Conference ProceedingsIndoor Scene Recognition by 3-D Object Search: For Robot Programming by Demonstration
Springer International Publishing AG. 262 pagesBooks and Reports: Books- [ONLINE] DOI: https://doi.org/10.1007/978-3-030-31852-9
Robot Learning of Shifting Objects for Grasping in Cluttered Environments
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/IROS40897.2019.8968042
- [ONLINE] View publication in Scopus
Metric-Based Evaluation of Fiducial Markers for Medical Procedures
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1117/12.2511720
Scene recognition for mobile robots by relational object search using next-best-view estimates from hierarchical implicit shape models
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/IROS.2016.7759046
- [ONLINE] View publication in Scopus
Automated selection of spatial object relations for modeling and recognizing indoor scenes with hierarchical Implicit Shape Models
Chapters in Books, Reports and Conference Proceedings: Conference Proceedings- [ONLINE] DOI: https://doi.org/10.1109/IROS.2015.7353980
- [ONLINE] View publication in Scopus
Active scene recognition for programming by demonstration using next-best-view estimates from hierarchical Implicit Shape Models
Contributions to Journals: Conference Articles- [ONLINE] DOI: https://doi.org/10.1109/ICRA.2014.6907680
- [ONLINE] View publication in Scopus
