Mihai Zaha
Papers
4
Total Citations
24
H-Index
3
About
Mihai Zaha is a robotics and artificial intelligence researcher whose work sits at the intersection of autonomous navigation, machine learning, and robotic operating systems. His research primarily focuses on enabling mobile and legged robots to perceive, reason about, and navigate complex, unstructured environments with minimal human intervention. Among his most notable contributions is OctoPath, a self-supervised learning framework leveraging OcTree-based spatial representations for local trajectory planning in mobile robots, which has garnered 9 citations and represents a meaningful advance in perception-driven path planning. His subsequent work on vision-dynamics learning for legged robot navigation in unstructured terrain further demonstrates his commitment to building robots capable of handling real-world complexity. Zaha also contributed to the development of CyberCortex.AI, an AI-based operating system designed to coordinate perception, control, and communication across autonomous robotic platforms — a systems-level contribution that bridges the gap between algorithms and deployable robotics infrastructure. Beyond research, Zaha has shown a dedication to engineering education, co-designing the ClujUAV student competition to cultivate hands-on autonomous systems skills in the next generation of engineers. With a growing citation record and contributions spanning algorithms, systems, and education, Zaha is an emerging voice in the autonomous robotics community.
Research Focus
Key Achievements
Top Papers
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