Taher Abbas Shangari
Papers
5
Total Citations
27
H-Index
4
About
Taher Abbas Shangari is a roboticist whose work centers on human-robot interaction and multi-robot coordination, with a particular focus on humanoid platforms. His most cited paper (10 citations) introduces an adaptive handshaking system that allows robots to tune their physical interaction based on a person’s gender and familiarity—a pioneering step toward socially aware, personalized robot behavior. Shangari’s research also tackles the critical challenge of inter-humanoid robot detection, comparing methods to enable robots to recognize and collaborate with one another, a foundation for future team-based robotics. As a member of the AUT-UofM Humanoid TeenSize Joint Team, he contributed to the long-term roadmap for humanoid soccer, aiming toward the 2050 Humanoid League goals. His work on multi-robot exploration, including a systematic return procedure for conjunct environments, further demonstrates his commitment to practical, real-world deployment. With a growing citation footprint, Shangari is building a reputation for bridging the gap between mechanical interaction and intelligent, context-aware behavior in humanoid systems.
Research Focus
Key Achievements
Top Papers
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