Results 191 to 200 of about 3,643 (247)

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

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

On the design of deep learning-based control algorithms for visually guided UAVs engaged in power tower inspection tasks. [PDF]

Front Robot AI
Maitre G, Martinot D, Tuci E.
europepmc   +1 more source

Efficient and Adaptive Autonomous Guidance and Control of Planetary Rover With Improved Traction Controller and Dynamic Cost Map

Journal of Field Robotics, Volume 43, Issue 4, Page 2848-2866, June 2026.
ABSTRACT Planetary exploration is rapidly gaining importance within the space research community. Autonomous locomotion of rovers requires consideration of several mobility aspects to ensure safety, including avoiding hazardous areas that can cause the robot to become immobilized in soft soil or damaged in sharp terrains.
Alessio De Luca, Luca Muratore, Nikos G. Tsagarakis, Martin Azkarate   +3 more
wiley   +1 more source

Re‐Evaluating Springtime as Southern Arizona's Dust Season

GeoHealth, Volume 10, Issue 6, June 2026.
Abstract The existing literature largely identifies spring as Arizona's predominant dust season, when synoptic‐scale dust events are most frequent and “Fine Soil” measurements from the IMPROVE (Interagency Monitoring of Protected Visual Environments) network reach a yearly maximum.
Ellis S. Robinson, Labiba J. Noushin, Carolina Martinez Guajardo, Chris Chaeha Lim, Avelino Arellano, Armin Sorooshian   +5 more
wiley   +1 more source

Automatic Classification of Planetary Surfaces Using Autoencoders With Applications to Dunes in the North Polar Erg of Mars

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract The study of planetary surface processes has traditionally relied on the manual interpretation of spacecraft images. While manual image analysis methods are robust and well‐established, they become impractical when the volume of available data is large and may introduce observer bias.
Yasmin Hayat, Lior Rubanenko
wiley   +1 more source

Reconstructing Digital Elevation Models From Single Synthetic Aperture Radar Images

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Traditional radar‐based methods of generating topography involve complex dual‐antenna or formation‐flying satellite configurations, interferometric processing, and specialized expertise. We present an approach for reconstructing digital elevation models (DEMs) from single Synthetic Aperture Radar (SAR) images using deep learning.
W. Hamish Mitchell, Miriam Cha, Michael Newey, J. Taylor Perron   +3 more
wiley   +1 more source

Proteome-scale quantification of the interactions driving condensate formation of intrinsically disordered proteins

Norrild RK, von Bülow S, Halldórsson E, Lindorff-Larsen K, Rogers JM, Buell AK.   +5 more
europepmc   +1 more source

Comparing Solar Structure Detection Methods in SDO/AIA Observations and the Application to Raw Uncalibrated Data

Journal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 3, June 2026.
Abstract Recent advances in solar physics increasingly rely on automated identification of coronal structures using machine learning. Yet most studies emphasize scientific performance without evaluating feasibility for onboard deployment to prioritize downlink observations.
P. Gonidakis, F. Carella, E. Dineva, H‐J. Jeong, P. Antunes, A. Podobas, S. Raptis, V. Toy‐Edens, M. Jin, S. Poedts, J. Magdalenic, G. Miloshevich   +11 more
wiley   +1 more source

Suppressing torsional buckling in auxetic meta-shells. [PDF]

Nat Commun
Ghorbani A, Mirzaali MJ, Roebroek T, Coulais C, Bonn D, van der Linden E, Habibi M.   +6 more
europepmc   +1 more source