RACLAB TEAM
We manufacture our airframes using advanced 3D printing technologies with high-quality thermoplastic filaments such as PLA and reinforced polymers. We optimize our structures for lightweight performance, structural strength, and aerodynamic efficiency to ensure reliable, mission-ready flight operations.
We integrate onboard sensor fusion and real-time data processing to enable accurate target detection, environmental mapping, and enhanced situational awareness during mission operations.
We develop precision flight algorithms that integrate PID-based control systems for flight stabilization and SLAM-driven localization and mapping for accurate navigation. By combining real-time sensor feedback with advanced autonomy frameworks, we ensure stable flight performance, reliable obstacle avoidance, and adaptive decision-making throughout every autonomous mission.
We design, develop, and test custom payload systems tailored to meet mission-specific requirements. We ensure reliable, repeatable performance and seamless integration with our airframe and onboard systems to support efficient and mission-ready operations.
We develop a C++-based ground control application designed for reliable mission planning, real-time telemetry monitoring, and secure command transmission. Our system provides a robust and responsive interface for flight control, data visualization, and operational management, ensuring stable communication and efficient mission execution.
Pushing the boundaries of UAV technology through continuous research, iterative prototyping, and real-world testing.
RACLAB empowers undergraduate engineers to transform technical knowledge into real-world autonomous systems through national and international competitions.
Focused on aerial autonomy, intelligent navigation, mission planning, and advanced drone systems.
Focused on underwater robotics, perception systems, autonomous control, and marine technologies.
