Zobrazeno 1 - 10
of 1 103
pro vyhledávání: '"Majji, A"'
Publikováno v:
IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2024
This paper presents a novel approach for vehicle localization by leveraging the ambient magnetic field within a given environment. Our approach involves introducing a global mathematical function for magnetic field mapping, combined with Euclidean di
Externí odkaz:
http://arxiv.org/abs/2411.06543
This paper presents a computationally efficient model predictive control formulation that uses an integral Chebyshev collocation method to enable rapid operations of autonomous agents. By posing the finite-horizon optimal control problem and recursiv
Externí odkaz:
http://arxiv.org/abs/2410.07413
A Markov decision process-based state switching is devised, implemented, and analyzed for proximity operations of various autonomous vehicles. The framework contains a pose estimator along with a multi-state guidance algorithm. The unified pose estim
Externí odkaz:
http://arxiv.org/abs/2409.19062
Autor:
Parikh, Deep, Majji, Manoranjan
A pose estimation technique based on error-state extended Kalman that fuses angular rates, accelerations, and relative range measurements is presented in this paper. An unconstrained dynamic model with kinematic coupling for a thrust-capable satellit
Externí odkaz:
http://arxiv.org/abs/2409.10815
A robust pose estimation algorithm based on an extended Kalman filter using measurements from accelerometers, rate gyroscopes, monocular vision and ultra-wideband radar is presented. The sensor fusion and pose estimation algorithm incorporates Mahalo
Externí odkaz:
http://arxiv.org/abs/2409.09665
Autor:
Parikh, Deep, Majji, Manoranjan
The LASR Laboratory is investigating the use of free-flying spacecraft modules in several on-orbit, servicing and manufacturing (OSAM) activities. Previous work consists of the system development and testing of the aforementioned thrust-capable modul
Externí odkaz:
http://arxiv.org/abs/2409.09658
Autor:
Parikh, Deep, Khowaja, Ali Hasnain, Long, Nathan, Down, Ian, McElreath, James, Bire, Aniket, Majji, Manoranjan
This paper presents a detailed system design and component selection for the Transforming Proximity Operations and Docking Service (TPODS) module, designed to gain custody of uncontrolled resident space objects (RSOs) via rendezvous and proximity ope
Externí odkaz:
http://arxiv.org/abs/2409.09633
Autor:
van Wijk, David E. J., Coogan, Samuel, Molnar, Tamas G., Majji, Manoranjan, Hobbs, Kerianne L.
Obtaining a controlled invariant set is crucial for safety-critical control with control barrier functions (CBFs) but is non-trivial for complex nonlinear systems and constraints. Backup control barrier functions allow such sets to be constructed onl
Externí odkaz:
http://arxiv.org/abs/2409.07700
Autor:
Bhaskara, Ramchander, Georgakis, Georgios, Nash, Jeremy, Cameron, Marissa, Bowkett, Joseph, Ansar, Adnan, Majji, Manoranjan, Backes, Paul
Sampling autonomy for icy moon lander missions requires understanding of topographic and photometric properties of the sampling terrain. Unavailability of high resolution visual datasets (either bird-eye view or point-of-view from a lander) is an obs
Externí odkaz:
http://arxiv.org/abs/2401.12414
This paper investigates the problem of on-orbit spacecraft inspection using a single free-flying deputy spacecraft, equipped with an optical sensor, whose controller is a neural network control system trained with Reinforcement Learning (RL). This wo
Externí odkaz:
http://arxiv.org/abs/2308.02743