This article is concerned with Model Predictive Control (MPC) algorithms that use Short
Term Memory (LSTM) and Gated Recurrent Unit (GRU) neural networks for prediction. For …

This work thoroughly compares the efficiency of Long Short-Term Memory Networks
(LSTMs) and Gated Recurrent Unit (GRU) neural networks as models of the dynamical …

On-Orbit Servicing (OOS) robots are transforming space exploration by enabling vital
maintenance and repair of spacecraft directly in space. However, achieving precise and safe …

In this paper, a fractional neural integral sliding-mode controller based on the Caputo-
Fabrizio derivative and Riemann–Liouville integral for a robot manipulator mounted on a …

Use of autonomous space robots show promising potential for precise in-orbit proximity
operations like in-orbit servicing and debris capture. However, manipulators mounted on …

The paper presents two robust and efficient control algorithms based on (i) Optimal Control
Allocation (OCA) and (ii) Nonlinear Model Predictive Control (NMPC). The robotics system …

View Video Presentation: https://doi. org/10.2514/6.2023-0157. vid Autonomous space
robots are and will be essential for future space missions like on-orbit satellite servicing, on …

In this paper, an effective control and parameters identification scheme was proposed for
high-precision trajectory tracking of space robotic manipulators. Our proposed control …

Autonomous space robots are and will be essential for future space missions like on-orbit
satellite servicing, on-orbit assembly, active debris removal etc. Such missions require a …

This paper presents the process of designing, fabricating, assembling, programming and
optimizing a prototype nonlinear mechatronic Ball-Plate System (BPS) as a laboratory …