Daniel Engelsman

I am a Ph.D. researcher at the Autonomous Navigation and Sensor Fusion Lab (ANSFL), led by Prof. Itzik Klein at the University of Haifa.

My research focuses on coupled estimator-controller dynamics and adaptive planning horizons to build lean, robust Guidance, Navigation, and Control (GNC) pipelines for self-contained aerial robotics.

In my belief space, everything in GNC flows from the state estimator: if your filter drifts, your controller panics, and your planner fails. I build tightly coupled, adaptive, and real-time bulletproof pipelines to—Make GNC Great Again !

Open Questions I’m Exploring

• Uncertainty Propagation Across Time Scales: How does state estimation uncertainty propagate across multi-rate GNC layers? Can we establish spatiotemporal mappings that inform every level of the hierarchy without bottlenecking trajectory planners?

• High-Fidelity Sim-to-Real Generalization: How can photorealistic rendering and high-fidelity physics engines enable zero-shot deployment under unmodeled environmental interactions? Can domain randomization combined with physics-informed learning guarantee bounded tracking error during real-world execution?

• Guaranteed Safety Under Active Degradation: How do we construct dynamic safety certificates when sensor availability and noise statistics degrade unannounced? Can we bound state extrapolation across platform dynamics and environmental disturbances during extreme dead reckoning?