Results 151 to 160 of about 796 (242)

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Journal of Field Robotics, Volume 43, Issue 4, Page 2553-2584, June 2026.
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos, Steven Kay, Julia Wajoras, Robert Field, Evridiki V. Ntagiou, Fakher Mohammad, Yang Gao   +6 more
wiley   +1 more source

Optimizing Time-Sensitive Traffic Scheduling in Low-Earth-Orbit Satellite Networks. [PDF]

Sensors (Basel)
Liu W, Xiao N, Liu B, Zhang Y, Li T.
europepmc   +1 more source

Autonomous Navigation in Large‐Scale Underground Environments Based on a Purely Topological Understanding of Tunnel Networks

Journal of Field Robotics, Volume 43, Issue 4, Page 2671-2692, June 2026.
ABSTRACT This work presents a non‐geometrical navigation approach based on a purely topological understanding of underground environments. By conceptualizing subterranean scenarios as a set of tunnels that intersect with each other, and taking a navigation approach based on topological instructions, we simplify the navigation problem to the sequential ...
Lorenzo Cano, Danilo Tardioli, Alejandro R. Mosteo   +2 more
wiley   +1 more source

Inter-comparison of Mars Upper Atmosphere Neutral Density and Temperature Datasets from MAVEN. [PDF]

Space Sci Rev
Jones N, Evans JS, Gupta S, Jain S, Pilinski M, Stone SW, Thiemann EMB, Schneider N, Curry S.   +8 more
europepmc   +1 more source

Sampling, Mobility, and Anchoring in Small‐Body Sampling Robots: A Comprehensive Review

SmartBot, Volume 2, Issue 2, June 2026.
Small‐body sampling robots are exploration systems that perform contact, sampling, and stable operations on microgravity bodies such as asteroids and comets. The authors review representative robot architectures and key technologies, focusing on the mechanisms, evolution, and coupling of sampling, mobility, and anchoring.
Yurui Shen, Yixin Zhu, Mingxia Bao, Ting Zhang, Jun Wu, Jingbin Hao, Dezheng Hua, Xinhua Liu   +7 more
wiley   +1 more source

Technical Design of a Low-Latitude Satellite Constellation for Ocean Observation with a Focus on Hainan Province, China. [PDF]

Sensors (Basel)
Wang L, Yang T, Wang T, Wang C, Li N, Li XM.   +5 more
europepmc   +1 more source

Drone‐Based Inspection of Wind Turbine Blades: A Comparative Study of Deep Learning Models

Wind Energy, Volume 29, Issue 6, June 2026.
ABSTRACT Maintaining wind turbine blades is a challenging task, often marked by high costs, safety risks, time inefficiency, and the possibility of incorrect diagnosis. A promising approach to support preventive maintenance involves the use of drones and deep learning for inspection and early fault detection.
Lakhdar Laib, Thameur Obaidi, Mohamed Elbar, Toufik Tayeb Naas, Ahmed Bensaci, Leliso Hobicho Dabelo   +5 more
wiley   +1 more source

In-Orbit MapAnything: An Enhanced Feed-Forward Metric Framework for 3D Reconstruction of Non-Cooperative Space Targets Under Complex Lighting. [PDF]

Sensors (Basel)
Lu Y, Wang H, Ning Q, Liu Z, Zang Y, Liao Z, Yan Z.   +6 more
europepmc   +1 more source

Geological Mapping and Structural Analysis of the Western Half of the Eminescu Quadrangle (H09), Mercury

Journal of Geophysical Research: Planets, Volume 131, Issue 6, June 2026.
Abstract We present the results of the first geological mapping of the western half of the Eminescu Quadrangle (H09) on Mercury. Multiple data sets from the NASA MESSENGER Mercury Dual Imaging System instrument were used to produce a geological map covering the area between 72°E and 108°E longitude and 22.5°N and 22.5°S latitude.
M. El Yazidi, E. Sefton‐Nash, C. Orgel, G. De Marchi, J. Filiberto, B. Bradák, P. D'Incecco, N. Slim Shimi, F. Srarfi, G. Leone   +9 more
wiley   +1 more source

O-RAID: a satellite constellation architecture for ultra-resilient global data backup. [PDF]

Sci Rep
Meegama RGN.
europepmc   +1 more source