Vahid Mokhtari
Vahid Mokhtari
PhD in Computer Science
Verified email at - Homepage
Cited by
Cited by
The RACE project: Robustness by autonomous competence enhancement
J Hertzberg, J Zhang, L Zhang, S Rockel, B Neumann, J Lehmann, ...
KI-Künstliche Intelligenz 28, 297-304, 2014
Interactive teaching and experience extraction for learning about objects and robot activities
GH Lim, M Oliveira, V Mokhtari, SH Kasaei, A Chauhan, LS Lopes, ...
The 23rd IEEE International Symposium on Robot and Human Interactive …, 2014
Experience-based robot task learning and planning with goal inference
V Mokhtari, LS Lopes, AJ Pinho
Proceedings of the International Conference on Automated Planning and …, 2016
Gathering and Conceptualizing Plan-Based Robot Activity Experiences
V Mokhtari, GH Lim, LS Lopes, AJ Pinho
Intelligent Autonomous Systems 13 (IAS 13), 993-1005, 2016
Mining Opponent behavior: a champion of RoboCup coach competition
R Fathzadeh, V Mokhtari, M Mousakhani, F Mahmoudi
2006 IEEE 3rd Latin American Robotics Symposium, 80-83, 2006
Experience-Based Planning Domains: an Integrated Learning and Deliberation Approach for Intelligent Robots: Robot Task Learning from Human Instructions
V Mokhtari, L Seabra Lopes, AJ Pinho
Journal of Intelligent & Robotic Systems 83, 463-483, 2016
Coaching with expert system towards robocup soccer coach simulation
R Fathzadeh, V Mokhtari, M Mousakhani, AM Shahri
RoboCup 2005: Robot Soccer World Cup IX 9, 488-495, 2006
Learning robot tasks with loops from experiences to enhance robot adaptability
V Mokhtari, LS Lopes, AJ Pinho
Pattern Recognition Letters 99, 57-66, 2017
Opponent provocation and behavior classification: A machine learning approach
R Fathzadeh, V Mokhtari, MR Kangavari
Robot Soccer World Cup, 540-547, 2007
Autonomous runtime composition of sensor-based skills using concurrent task planning
Y Pane, V Mokhtari, E Aertbeliën, J De Schutter, W Decré
IEEE Robotics and Automation Letters 6 (4), 6481-6488, 2021
Learning the scope of applicability for task planning knowledge in experience-based planning domains
V Mokhtari, R Manevich, LS Lopes, AJ Pinho
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
Safe-Planner: A single-outcome replanner for computing strong cyclic policies in fully observable non-deterministic domains
V Mokhtari, AS Sathya, N Tsiogkas, W Decré
2021 20th International Conference on Advanced Robotics (ICAR), 974-981, 2021
An ensemble learning approach for data stream clustering
R Fathzadeh, V Mokhtari
2013 21st Iranian Conference on Electrical Engineering (ICEE), 1-6, 2013
An approach to robot task learning and planning with loops
V Mokhtari, LS Lopes, AJ Pinho
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
Planning with activity schemata: Closing the loop in experience-based planning
V Mokhtari, LS Lopes, AJ Pinho, GH Lim
2015 IEEE International Conference on Autonomous Robot Systems and …, 2015
Mobile robot in domestic environment
R Fathzadeh, V Mokhtari, F Abdollahi, N Nabavi, F Abazari, H Bagheri
2014 International Conference on Information Science, Electronics and …, 2014
Task and Motion Planning in Fully Observable Non-Deterministic Domains
AS Sathya, V Mokhtari, W Decré, J De Schutter
Robotics: Science and Systems, Date: 2020/07/12-2020/07/16, Location: Oregon …, 2020
Planning for Cyclic Safe Solutions in Fully Observable Non-Deterministic Robotic Tasks
V Mokhtari, A Sathya, W Decré, G Borghesan, M Vochten
4th Workshop on Semantic Policy and Action Representations for Autonomous …, 2019
Learning task knowledge and its scope of applicability in experience-based planning domains
V Mokhtari, LS Lopes, A Pinho, R Manevich
arXiv preprint arXiv:1902.10770, 2019
A. An Instance-Based Approach to 3D Object Recognition in Open-Ended Robotic Domains
SH Kasaei, L Lopes, AM Tomé, A Chauhan, V Mokhtari, ...
Transversal emRobóticaInteligente, 2011
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