paper-with-me

홈 › Papers

Safe Autonomous Docking Maneuvers for a Floating Platform based on Input Sharing Control Barrier Functions

2022-09-14 · Akshit Saradagi, Avijit Banerjee, Sumeet Satpute, George Nikolakopoulos

In this article, we present a control strategy for the problem of safe autonomous docking for a planar floating platform (Slider) that emulates the movement of a satellite. Employing the proposed strategy, Slider approaches a docking port with the right orientation, maintaining a safe distance, while always keeping a visual lock on the docking port throughout the docking maneuver. Control barrier functions are designed to impose the safety, direction of approach and visual locking constraints. Three control inputs of the Slider are shared among three barrier functions in enforcing the constraints. It is proved that the control inputs are shared in a conflict-free manner in rendering the sets defining safety and visual locking constraints forward invariant and in establishing finite-time convergence to the visual locking mode. The conflict-free input-sharing ensures the feasibility of a quadratic program that generates minimally-invasive corrections for a nominal controller, that is designed to track the docking port, so that the barrier constraints are respected throughout the docking maneuver. The efficacy of the proposed control design approach is validated through various simulations.

📄 PDF Abstract BibTeX arXiv:2209.06618

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Symbolic Control for Autonomous Docking of Marine Surface Vessels

2025-01-22 · Elizabeth Dietrich, Emir Cem Gezer, Bingzhuo Zhong, Murat Arcak 외

Docking marine surface vessels remains a largely manual task due to its safety-critical nature. In this paper, we develop a hierarchical symbolic control architecture for autonomous docking maneuvers of a dynamic positio…

Deep Bayesian Reinforcement Learning for Spacecraft Proximity Maneuvers and Docking

2023-11-07 · Desong Du, Naiming Qi, Yanfang Liu, Wei Pan

In the pursuit of autonomous spacecraft proximity maneuvers and docking(PMD), we introduce a novel Bayesian actor-critic reinforcement learning algorithm to learn a control policy with the stability guarantee. The PMD ta…

reinforcement-learning

Reinforcement Learning based 6-DoF Maneuvers for Microgravity Intravehicular Docking: A Simulation Study with Int-Ball2 in ISS-JEM

2025-12-15 · Aman Arora, Matteo El-Hariry, Miguel Olivares-Mendez arxiv

Autonomous free-flyers play a critical role in intravehicular tasks aboard the International Space Station (ISS), where their precise docking under sensing noise, small actuation mismatches, and environmental variability…

Reinforcement Learning

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories

2023-10-06 · Matteo El-Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist 외

This investigation introduces a novel deep reinforcement learning-based suite to control floating platforms in both simulated and real-world environments. Floating platforms serve as versatile test-beds to emulate micro-…

Autonomous NavigationDeep Reinforcement Learningreinforcement-learningReinforcement Learning

DA-VPC: Disturbance-Aware Visual Predictive Control Scheme of Docking Maneuvers for Autonomous Trolley Collection

2025-09-09 · Yuhan Pang, Bingyi Xia, Zhe Zhang, Zhirui Sun 외 arxiv

Service robots have demonstrated significant potential for autonomous trolley collection and redistribution in public spaces like airports or warehouses to improve efficiency and reduce cost. Usually, a fully autonomous …