This paper presents the development of a real-time path-planning optimization approach to controlling the motion of space-based robots. The algorithm is capable of designing a trajectory for a robot to navigate within complex surroundings that include numerous obstacles (generalized shapes) and constraints (geometric and performance limitations). The methodology employs a unique transformation that effectively changes a complex optimization problem into one with a positive definite cost function that enables high convergence rates for complex geometries, enabling its application to real-time operations. This strategy was implemented on the Synchronized Position Hold Engage Reorient Experimental Satellite (SPHERES) test-bed on the International Space Station (ISS), and iterative experimental testing was conducted onboard the ISS during Expedition 17 by the first author.

Additional Metadata
Persistent URL dx.doi.org/10.2514/6.2014-1290
Conference AIAA Guidance, Navigation, and Control Conference 2014 - SciTech Forum and Exposition 2014
Citation
Chamitoff, G.E. (Gregory E.), Saenz-Otero, A. (Alvar), Katz, J.G. (Jacob G.), & Ulrich, S. (2014). Admissible subspace TRajectory optimizer (ASTRO) for autonomous robot operations on the space station. In AIAA Guidance, Navigation, and Control Conference. doi:10.2514/6.2014-1290