Multi-Agent Characterization of Dynamic Events

Gaining cognizance towards dynamic transient is foundational to the idea of being able to reconstruct and represent them at different instances in space and time.

This project investigates on the methodologies to be able to represent the target event in a manner that maximizes the scientific return while respecting the on-board resource and minimizing their utilization.

The premise of the research is based on the following principles --

1. Developing educated guesses about the event. 2. Estimates towards mulit-agent positions
3. Knowing where to observe
4. Techniques to interpret and represent the data

Multi-agent close approach and reconnaisance with a small solar system body, AdityaSavioPaul

Publications

Simultaneous motion replanning and gravity model refinement near small solar system bodies; Aditya Savio Paul, Michael Otte;
Journal of Aerospace Information Systems; 2023
Paper
Mapping and characterization of small solar system bodies over simulation-defined multi-spacecraft trajectory models;
Aditya Savio Paul, Flight Software Workshop 2023, JPL | CalTech, USA
Talk@JPL
Autonomous Motion Planning for Spacecrafts Near Small Solar System Bodies: Simultaneously Refining the Gravitational Field Model and Re-Planning Gravity Dependent Maneuvers; Aditya Savio Paul, Michael Otte., International Astronautical Congress (IAC) 2020.
Paper

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