Dipraj Debnath
Researcher · Unmanned Aerial Vehicles (UAVs)
Queensland University of TechnologyAbout
Dipraj Debnath is a PhD Researcher at the Queensland University of Technology (QUT) Centre for Robotics. His research focuses on developing advanced algorithms for multi-UAV path planning, trajectory optimization, and obstacle avoidance in GPS-denied environments. His work integrates genetic algorithms and geometric methods to enhance UAV navigation systems.
Research Interests:
- Unmanned Aerial Vehicles (UAVs)
- Path Planning and Optimization
- Obstacle Detection and Avoidance
- Autonomous Navigation Systems
- Genetic Algorithms
His publications explore scalable solutions for multi-UAV coordination, real-time collision avoidance, and remote sensing applications. Dipraj’s research emphasizes practical implementations of theoretical models, such as the DECK-GA algorithm for UAV path planning and QuickNav for collision avoidance.
No scientific awards or grants are explicitly mentioned. He is affiliated with the QUT Centre for Robotics, contributing to its mission in advancing robotics and AI technologies.
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