Lotzi Bölöni is a Professor of
Computer Science at the University of Central
Florida (with a secondary joint appointment in the Dept. of Electrical and Computer Engineering).
He received a PhD and MSc degree from the Computer
Sciences Department of Purdue University and BSc in Computer Engineering from the
Technical University of Cluj-Napoca, Romania. He held visiting researcher positions at
Automation Research Institute of the Hungarian Academy of Sciences,
University of Rome ``La Sapienza'',
Imperial College of London and
KTH Royal Institute of Technology, Stockholm, Sweden. He is a senior member of IEEE, member of the ACM,
AAAI and the Upsilon Pi
Epsilon honorary society.
Selected recent publications and projects:
- Robotics: deep reinforcement learning, deep learning from demonstration, vision-based end-to-end learning
P. Abolghasemi and L.
Bölöni. Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter. arXiv preprint arXiv:1909.11128, 2019.
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P. Abolghasemi, A. Mazaheri, M. Shah, and L.
Bölöni. Pay attention!-Robustifying a Deep Visuomotor Policy through Task-Focused Attention. Proc. of Conference on Computer Vision and Pattern Recognition (CVPR-2019), 2019.
- R. Rahmatizadeh, P.
Abolghasemi, L. Bölöni, and S.
Levine. Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration. In Proc. of International Conference on Robotics and Automation (ICRA-2018), May 2018. Download Video
- R. Rahmatizadeh, P.
Abolghasemi, A. Behal, and L.
Bölöni. Learning real manipulation tasks from virtual demonstrations using LSTM and MDN. In Proc. of Thirty-Second
AAAI Conf. on Artificial Intelligence (AAAI-2018), February 2018.
- Assistive robotics (NSF funded)
- Human-robot interaction (ARL funded)
- Artificial intelligence deep learning, computer vision, autonomous agents, human-agent-robot teamwork
- Social behavior modeling Modeling social and cultural behavior
- L. Bölöni, T.
S. Bhatia, S. A. Khan, J. Streater, and S. M. Fiore. Towards a computational model of social norms. PLOS ONE, 13(4):e0195331, 2018.
- T.S. Bhatia, S.A.
Khan, and L. Bölöni. Towards an operational model for the propagation of public perception in multi-agent simulation. In 13th International Workshop on Multi-Agent Based Simulation
(MABS-2012), pp. 1–12, June 2012.
- Networking and distributed systems sensor networks, cloud computing, scheduling
- P. Gjanci, C. Petrioli, S. Basagni, C.A.
Phillips, L. Bölöni, and D.
Turgut. Path Finding for Maximum the Value of Sensed Information in Multi-modal Underwater Wireless Sensor Networks. IEEE
Transactions on Mobile Computing, 17:404–418, February 2018. Download
- D. Turgut and L.
Bölöni. IVE: improving the value of information in energy-constrained intruder tracking sensor networks. In
IEEE Int. Conf. on Comunications (ICC-2013), pp. 6360–6364, 2013. Best Paper Award
- Artificial General Intelligence narrative reasoning
- L. Bölöni. Integrating perception, narrative, premonition and confabulatory continuation. Biologically Inspired Cognitive Architectures, 8:118–129, April 2014.
- L. Bölöni. Autobiography based prediction in a situated AGI agent. In Seventh Conf. of Artificial General Intelligence (AGI-2014), pp. 11–21, August 2014. Kurzweil
Best AGI Idea Prize 2014
cognitive architecture - a system for narrative reasoning
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