4 papers
Simulation Based Reward Function Validation for Multi-Agent On Orbit Inspection
Patrick Quinn, Bala Prenith Reddy Gopu, George M. Nehma +1
A proposed method for the control of groups of inspection spacecraft is Multi-Agent Reinforcement Learning (MARL). While MARL has already been employed for this purpose in previous…
From Images2Mesh: A 3D Surface Reconstruction Pipeline for Non-Cooperative Space Objects
Bala Prenith Reddy Gopu, Patrick Quinn, George M. Nehma +4
On-orbit inspection imagery is crucial as it enables characterization of non-cooperative resident space objects, providing the geometry and structural condition essential for activ…
Dynamic Scene 3D Reconstruction of an Uncooperative Resident Space Object
Bala Prenith Reddy Gopu, Timothy Jacob Huber, George M. Nehma +5
Characterization of uncooperative Resident Space Objects (RSO) play a crucial role in On-Orbit Servicing (OOS) and Active Debris Removal (ADR) missions to assess the geometry and m…
End-to-End Imitation Learning for Optimal Asteroid Proximity Operations
Patrick Quinn, George Nehma, Madhur Tiwari
Controlling spacecraft near asteroids in deep space comes with many challenges. The delays involved necessitate heavy usage of limited onboard computation resources while fuel effi…