Research

Distributed intelligence for aerial robot teams.

I develop planning and control methods that help multiple robots gather information efficiently, coordinate safely, and adapt to uncertainty.

01

Multi-UAV coverage and mapping

How should a team divide a region, choose viewpoints, and adapt its motion as new sensor data arrives? I study coverage strategies that couple robot motion with the quality and uncertainty of spatial information.

02

Altitude-aware sensing

Altitude changes what an aerial sensor can see. My work treats altitude as a planning variable, balancing wider coverage against the loss of sensing resolution and measurement confidence.

03

Distributed coordination and safety

I investigate decentralized methods based on spatial partitioning and local interaction. The goal is for teams to remain scalable and resilient while respecting inter-robot safety constraints.

04

Tracking and informative path planning

For moving targets and uncertain environments, a useful path is one that improves what the team knows. I study guidance methods that connect information objectives with real vehicle dynamics.