Shahram Jafari
Shiraz University, Monash University, Engineering Systems (United States)
Papers
11
Total Citations
207
H-Index
5
About
Shahram Jafari is a leading researcher in multi-robot systems and humanoid robotics, with a particular focus on soccer simulation and autonomous decision-making. His most influential work, a 2015 paper on PSO-based multi-robot cooperation for target searching in unknown environments, has garnered 148 citations, establishing a foundational approach for swarm intelligence in robotics. Jafari’s core contributions span reinforcement learning for dynamic locomotion—such as performing kicks during walking in RoboCup 3D simulations—and visual servoing, where he integrated eye-to-hand coordination with fuzzy logic and tactile feedback for object manipulation. He has also advanced humanoid stability through novel push-recovery strategies using knee joints and stereopsis, addressing critical balance challenges in real-world environments. His work on rule-based expert systems and machine learning for action classification has improved ball possession and decision-making in humanoid soccer robots. Notably, his 2006 paper on the COERSU robot demonstrates a concrete integration of vision, control, and manipulation. With a career focused on bridging intelligent algorithms and physical robotic performance, Jafari’s research continues to influence autonomous systems, particularly in competitive and unstructured settings.
Research Focus
Key Achievements
Top Papers
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- 6Relative visual servoing: a comparison with hybrid intelligent models5 citations · 2004
- 7Novel humanoid push recovery using knee joint4 citations · 2011
- 8Action classification of humanoid soccer robots using machine learning4 citations · 2012
- 9A novel approach for humanoid push recovery using stereopsis2 citations · 2013
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