MACRO

Multi-agent space assembly

Coordinating spacecraft to assemble structures too large to launch in one piece, through task allocation, motion planning, and attitude control.

Context
Undergraduate thesis · IIT Bombay
Collaboration
With Dwaipayan Mukherjee
Areas
Multi-robot systems · Allocation · Formation control
AI concept illustration of spacecraft assembling a segmented telescope above Earth, with its mirror facing deep space
Spacecraft assembling a segmented telescope with its aperture facing away from Earth. AI-generated concept illustration.

Problem

Launch-vehicle constraints limit the aperture of monolithic space telescopes. MACRO asks how multiple spacecraft could autonomously assemble a larger parabolic structure after deployment in an elliptic orbit.

Contribution

I developed this framework in my undergraduate thesis at IIT Bombay, supervised by Dwaipayan Mukherjee, bringing together spacecraft allocation, formation maneuvers, and attitude coordination.

The framework decomposes the assembly problem into allocation, collision-aware formation maneuvers, local attitude synchronization, and convergence to prescribed positions and orientations around a central spacecraft.

The public repository packages the simulation methods accompanying the undergraduate thesis and paper.

Outcome

The work was published at the 2021 Indian Control Conference and released with its simulation code and undergraduate thesis.

Simulation studies examine the coordinated assembly formulation in an elliptic orbit.

Simulation results

1. Form the configuration

Three-dimensional simulated trajectories for positional convergence of an 18-spacecraft formation
Eighteen spacecraft converge toward an initial formation using the ZSP auction allocation. Thesis Figure 4.7(a). Source

2. Arrange the segments

Simulated spacecraft trajectories during intra-formation exchanges
The subsequent exchange stage rearranges spacecraft to match their assigned mirror geometry. Thesis Figure 4.7(b). Source

How to cite this work

Peer-reviewed conference paper · Indian Control Conference, 2021