On-orbit servicing provides an opportunity to extend mission life of damaged or fuel-depleted satellites as well as repair and correct any issues that need to be addressed physically. For example, refueling a satellite can prove to be much more cost effective, rather than terminating its use and launching an entirely new satellite. The ability to refuel a depleted satellite would not only allow it to stay active for longer but would reduce the amount of new debris created by abandoning it. On orbit assembly will provide flexibility to many future space mission designs. From building structures for human habitation on Mars or the Lunar surface, to building telescopes and large space structures, the application of robots will play a vital role in accomplishing the upcoming milestones. The assembly of these infrastructures in space will involve intricate tasks with high requirements of reliability, efficiency, and safety. These tasks will require the deployment of autonomous robots, particularly for tasks characterized by repetitive, structured, and standardized operations.

HR Space robotics section provides solutions to major challenges in on orbit servicing, assembly and manufacturing including mobility, precise manipulation, localization/mapping, and adaptability to uncertainties in the environment. Advanced control approaches and AI based techniques have been proposed in our works within this field. We should mention nonlinear optimal controllers for autonomous reentry space vehicles [1], and advanced controllers for the guidance of manipulators in robotic servicing [2][3][4][5]. These approaches include visual servoing [2][3][6], force control [4] and AI based approaches [5] for the guidance of spacecraft and space manipulators in servicing and assembly tasks in space. Large ground-based facilities built in inaccessible locales could also benefit greatly from in-situ robotics for inspection and servicing, and likely would necessitate a multi-robot scalable solution.

[1]

A nonlinear optimal control approach for autonomous reentry space vehicles
Rigatos, G.; Abbaszadeh, M.; Pomares, J.; Busawon, K. (2023) IFAC Journal of Systems and Control, vol. 25, 100225 (Q4).
[2]

Spacecraft visual servoing with adaptive zooming for non-cooperative rendezvous
Pomares, J.; Felicetti, L.; Pérez, J.; Reza, M. (2018) 2018 IEEE Aerospace Conference, Big Sky, MT, USA, pp. 1-8.
[3]

Concurrent image-based visual servoing with adaptive zooming for non-cooperative rendezvous maneuvers
Pomares, J.; Felicetti, L.; Pérez, J.; Reza, M. (2018) Advances in Space Research, Vol. 61, No. 3, pp. 862-878. IF: 1.746 (Q3).
[4]

Direct Visual Servoing and Interaction Control for a Two-Arms On-Orbit Servicing Spacecraft
Ramón, J. L.; Pomares, J.; Felicetti, L. (2022) Acta Astronautica, Vol. 192, pp. 368-378 (Q1).
[5]

Trajectory optimization and control of multipod robots in on-orbit servicing operations
Pomares, J.; Ramón, J. L.; Felicetti, L.; Olivares, M.A. (2023) 17th Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA 2023), Leiden, Netherlands.
[6]

Direct image-based visual servoing of free-floating space manipulators
Pérez, J.; Reza, M.; Pomares, J. (2016) Aerospace Science and Technology, Vol. 55, pp. 1-9. IF: 2.057 (Q1).

Human Robotics Group - University of Alicante

HURO research lines are focused in the benefit of humans and environmental impact, developing solutions for human-robot interaction and services, for helping disabled people and for spacecraft control applications.

Contact us

  • Human Robotics
    UA Polytechnic School 3
    Physics, Systems Engineering and Signal Theory Department
    University of Alicante
    Ctra San Vicente del Raspeig s/n
    San vicente del Raspeig
    03690 Alicante, Spain.

  • (+34) 965 903 400 Ext. 1094

  • huro@ua.es

  • Week Days   : 09:00 – 18:00
    Saturday, Sunday   : Holiday