Daut Mustafic
Papers
1
Total Citations
17
H-Index
1
About
Daut Mustafic is a robotics researcher whose work focuses on decentralized multi-robot systems, adaptive path planning, and autonomous navigation in dynamic environments. His most notable contribution is the development of Dec-PPCPP, a decentralized predator-prey-based approach to adaptive coverage path planning that enables multiple robots to collaboratively cover complex 3D surfaces while navigating around moving obstacles. This work, published in 2020 and cited 17 times, addresses a critical gap in robotics—how to coordinate robot teams in real-world settings where obstacles are not static. By drawing inspiration from biological predator-prey dynamics, Mustafic’s approach offers a scalable and robust solution for applications like search-and-rescue, environmental monitoring, and industrial inspection. His research is particularly impactful for students and engineers seeking to deploy multi-robot systems in unpredictable environments. Mustafic’s work exemplifies how bio-inspired algorithms can solve practical challenges in autonomous robotics, making him a key contributor to the field of adaptive coverage and decentralized coordination.
Research Focus
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Top Papers
- 1