Vahid Mokhtari
From IEETA
| Subject | Robot task planning |  |
|---|---|---|
| Advisor | Luís Seabra Lopes, Armando J. Pinho | |
| Group | Intelligent Robotics and Systems | |
| Status | PhD student | |
| Starts | 2012/10/01 | |
| Ends | 2019/04/11 | |
| Country | Iran | |
| Projects | ||
| Past projects | ||
| Events | ICARSC'2017, IROS'2017 | |
| Proposals | ||
| Personal page |
Vahid Mokhtari is a PhD student in Computer Science in the Institute of Electronics and Informatics Engineering of Aveiro (IEETA) at the University of Aveiro since 2013. He received his Master’s degree in the department of Computer Engineering at the Qazvin Azad University in 2008. Prior to beginning the PhD, Vahid did some researches in several robotic projects in Mechatronics Research Laboratory (MRL) at Qazvin Azad University. His current research includes robot task learning and planning by human-robot interaction. He is interested to collect an experience of a robot performance and conceptualize the experience into a general task model applicable to make plans for a class of similar problems.
Publications
Articles in international journals listed in the ISI
- Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho. Learning Robot Tasks with Loops from Experiences to Enhance Robot Adaptability. Pattern Recognition Letters, vol. 99, p. 57-66, November 2017 [IF 2017: 1.952 (Q2, 56/132)]
- Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho. Experience-Based Planning Domains: an Integrated Learning and Deliberation Approach for Intelligent Robots. Journal of Intelligent & Robotic Systems, vol. 83, no. 3, p. 463-483, September 2016 [IF 2016: 1.512 (Q3, 17/26)] [IF 2017: 1.583 (Q3, 17/26)]
Other articles in journals
- Joachim Hertzberg, Jianwei Zhang, Liwei Zhang, Sebastian Rockel, Bernd Neumann, Jos Lehmann, Krishna S. R. Dubba, Anthony G. Cohn, Alessandro Saffiotti, Federico Pecora, Masoumeh Mansouri, Štefan Konečný, Martin Günther, Sebastian Stock, Luís Seabra Lopes, Miguel Riem Oliveira, Gi Hyun Lim, Hamidreza Kasaei, Vahid Mokhtari, Lothar Hotz, Wilfried Bohlken. The RACE Project: Robustness by Autonomous Competence Enhancement. Künstliche Intelligenz, vol. 28, no. 4, p. 297-304, November 2014
Articles in conference proceedings
- Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho. An Approach to Robot Task Learning and Planning with Loops. Proc. 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'2017), p. 6033-6038, 2017
- Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho. Learning and Planning of Robot Tasks with Loops. Proc. 2017 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC’2017), p. 296-301, 2017
- Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho. Gathering and Conceptualizing Plan-Based Robot Activity Experiences. Intelligent Autonomous Systems 13: Proceedings of the 13th International Conference IAS-13, vol. AISC 302, p. 993-1005, 2016
- Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho. Experience-Based Robot Task Learning and Planning with Goal Inference. Twenty-Sixth International Conference on Automated Planning and Scheduling (ICAPS-2016), London, England, p. 509--517, March 2016
- Vahid Mokhtari, Luís Seabra Lopes, Armando J. Pinho, Gi Hyun Lim. Planning with Activity Schemata: Closing the Loop in Experience-Based Planning Domains. Proceedings of the 2015 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC 2015), Vila Real, Portugal, p. 9-14, April 2015
- Gi Hyun Lim, Miguel Riem Oliveira, Vahid Mokhtari, Hamidreza Kasaei, Luís Seabra Lopes, Ana Maria Tomé. Interactive Teaching and Experience Extraction for Learning about Objects and Robot Activities. Proceedings of the IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN'2014), p. 153-160, 2014
PhD thesis
- Vahid Mokhtari. Gathering and Conceptualizing Plan-Based Robot Activity Experiences for Long-Term Competence Enhancement. PhD Thesis, University of Aveiro, Aveiro, Portugal, April 2019