Autonomous Rendezvous with Non-cooperative Target Objects with Swarm Chasers and Observers
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Abstract (arXiv)
Space debris is on the rise due to the increasing demand for spacecraft for com-munication, navigation, and other applications. The Space Surveillance Network (SSN) tracks over 27,000 large pieces of debris and estimates the number of small, un-trackable fragments at over 1,00,000. To control the growth of debris, the for-mation of further debris must be reduced. Some solutions include deorbiting larger non-cooperative resident space objects (RSOs) or servicing satellites in or-bit. Both require rendezvous with RSOs, and the scale of the problem calls for autonomous missions. This paper introduces the Multipurpose Autonomous Ren-dezvous Vision-Integrated Navigation system (MARVIN) developed and tested at the ORION Facility at Florida Institution of Technology. MARVIN consists of two sub-systems: a machine vision-aided navigation system and an artificial po-tential field (APF) guidance algorithm which work together to command a swarm of chasers to safely rendezvous with the RSO. We present the MARVIN architec-ture and hardware-in-the-loop experiments demonstrating autonomous, collabo-rative swarm satellite operations successfully guiding three drones to rendezvous with a physical mockup of a non-cooperative satellite in motion.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 6 of its 35 references that are in the map. First posted on arXiv 22 Jan 2023.
Builds on
6 of 35 references.
References · 6
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- 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,845
- 2021Swin Transformer V2: Scaling Up Capacity and Resolutioncited by 1,228
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Built on by
Citing papers per year: 2023: 2; 2024: 3; 2025: 1.
6 papers.
- 2024Characterizing Satellite Geometry via Accelerated 3D Gaussian Splattingcited by 8
- 2023SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft Feature Detectioncited by 5
- 2024SatSplatYOLO: 3D Gaussian Splatting-based Virtual Object Detection Ensembles for Satellite Feature Recognitioncited by 2
- 2025FPGA-Based Neural Network Accelerators for Space Applications: A Surveycited by 2
- 2023Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanationscited by 1
- 2024SpY: A Context-Based Approach to Spacecraft Component Detectioncited by 0
- 2025FPGA-Based Neural Network Accelerators for Space Applications: A Survey22 Apr 2025
- 2024SpY: A Context-Based Approach to Spacecraft Component Detection26 Jun 2024
- 2024SatSplatYOLO: 3D Gaussian Splatting-based Virtual Object Detection Ensembles for Satellite Feature Recognition4 Jun 2024
- 2024Characterizing Satellite Geometry via Accelerated 3D Gaussian Splatting5 Jan 2024
- 2023Taking a PEEK into YOLOv5 for Satellite Component Recognition via Entropy-based Visual Explanations3 Nov 2023
- 2023SpaceYOLO: A Human-Inspired Model for Real-time, On-board Spacecraft Feature Detection2 Feb 2023