Danial Sufiyan bin Shaiful

Singapore University of Technology and Design

Papers

Total Citations

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About

Danial Sufiyan bin Shaiful is a robotics researcher specializing in aerial robot navigation, sensor optimization, and simultaneous localization and mapping (SLAM). His major contributions center on developing innovative sensing systems for autonomous flight in challenging environments, particularly deep hazardous tunnels. His most cited work, "Design Optimization of Sparse Sensing Array for Extended Aerial Robot Navigation in Deep Hazardous Tunnels" (21 citations), introduces a method to optimize sparse range-sensor arrays for precise localization in confined, rectilinear spaces. Shaiful is also the creator of the Flydar system, a nature-inspired aerial robot that uses a single rotating laser and exploits its own airframe dynamics for omnidirectional scanning. In "Flydar: Magnetometer-based High Angular Rate Estimation during Gyro Saturation for SLAM" (10 citations), he addresses a critical problem—estimating high angular rates when gyroscopes fail—by leveraging sinusoidal magnetometer readings within an EKF framework. His follow-up work, "Flydar: A Passive Scanning Flying Lidar Sensing System for SLAM Using a Single Laser" (6 citations), demonstrates a cost-effective 2.5D SLAM approach. Shaiful’s research pushes the boundaries of resilient, minimalist sensing for autonomous drones, with direct applications in search-and-rescue and infrastructure inspection.