Hamza Hobbani
Papers
2
Total Citations
3
H-Index
1
About
Hamza Hobbani is an emerging researcher at the forefront of robotics and soft actuation, with a focus on bridging the gap between theoretical modeling and real-world control. His work centers on two key areas: the system identification of mobile robots and the dynamic characterization of soft actuators. In his most-cited work, Hobbani introduces a real-time feasible approach for modelling a tracked mobile robot, leveraging Particle Swarm Optimization and information criteria to achieve accurate system identification—a critical step for autonomous navigation and control. This paper has already garnered 2 citations, signaling its relevance to the robotics community. Complementing this, his research on dielectric elastomer actuators (DEAs) provides a control-oriented model that captures the complex dynamics of these soft, muscle-like materials, laying essential groundwork for advanced control strategies in soft robotics. Though early in his career, Hobbani’s dual focus on practical identification methods and soft actuator modeling positions him as a promising contributor to the future of intelligent, adaptive robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2