Research / Area of inquiry

Sensor tasking & observability

Which object should a limited sensor observe next?

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Conceptual illustration / not research data · Earth imagery: NASA/NOAA
The scientific focus

From question to method.

Published work explores sensor-tasking strategies for object cataloging. A separate conference contribution examines meta-reinforcement learning for scheduling when observation requests compete for sensor time.

Methods and themes

  • Observation-window and sensor-constraint modelling
  • Tasking strategies for catalog maintenance
  • Conflict-aware scheduling

Methods and links are presented at publication level; no unpublished performance numbers or operational schedules are reproduced.

Related projects

Work in context.

BIRALES TOP 5

Modules for sensor assessment, tasking, and analysis of orbital fragmentation observations.

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SΞNSIT · sensor-network simulation

Simulation of optical and radar sensor networks for catalog build-up and maintenance.

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ASI–ISTAR

Scientific and technical work spanning space traffic management, fragmentation analysis, and sensor tasking.

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Published record

Source material.

2026 · 5th IAA Conference on Space Situational Awareness

Meta-Reinforcement Learning for Conflict-Aware Sensor Scheduling in Space Surveillance and Tracking

Publication record
2025 · 11th European Conference for Aeronautics and Aerospace Sciences (EUCASS)

Advanced sensor tasking strategies for space objects cataloging

Publication record