Masoumeh Jafari
Papers
2
Total Citations
112
H-Index
2
About
Masoumeh Jafari is a leading researcher in humanoid robotics, with a primary focus on developing intelligent, autonomous systems capable of complex physical interactions. Her most significant contribution is a comprehensive survey on humanoid robot development (2019), which has garnered 106 citations, establishing itself as a foundational reference in the field. This work systematically maps the challenges and advancements in creating versatile humanoid platforms, bridging the gap between science fiction aspirations and practical engineering. Beyond broad surveys, Jafari has made targeted contributions to robotic intelligence, notably through her work on a hybrid Q-learning algorithm for humanoid soccer robots. This research, which achieved 6 citations, demonstrates a novel approach to enabling robots to dynamically score goals against a moving ball, showcasing her ability to solve real-time decision-making problems in dynamic environments. Her work is particularly notable for its application-oriented focus, directly advancing the capabilities of humanoid robots in competitive and interactive settings. Jafari’s research is essential reading for students and engineers interested in the intersection of reinforcement learning, mechanical design, and autonomous behavior in humanoid systems.
Research Focus
Key Achievements
Top Papers
- 1A comprehensive survey on humanoid robot development106 citations · 2019
- 2A Hybrid Q-learning Algorithm to Score a Moving Ball for Humanoid Robots6 citations · 2019