Results 121 to 130 of about 125,161 (338)

Prehistory of Aeronautics [PDF]

open access: yesNature, 1950
Voyages to the Moon By Marjorie Hope Nicolson. Pp. xvii + 297 + 8 plates. (New York: The Macmillan Company; London: Macmillan and Co., Ltd., 1948.) 20s. net.
openaire   +2 more sources

Joint Situational Assessment‐Hierarchical Decision‐Making Framework for Maneuver Intent Decisions

open access: yesAdvanced Intelligent Systems, EarlyView.
This study introduces a new framework for decision‐making in unmanned combat aerial vehicles (UCAVs), integrating graph convolutional networks and hierarchical reinforcement learning (HRL). The method tackles adopts a curriculum‐based training approach guided by cross‐entropy rewards.
Ruihai Chen   +4 more
wiley   +1 more source

Aeronautic research

open access: yesJournal of the Franklin Institute, 1922
"Reprinted from the Journal of the Franklin Institute, January, 1922." ; Mode of access: Internet.
openaire   +1 more source

Smart Bioinspired Material‐Based Actuators: Current Challenges and Prospects

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This work gathers, in a review style, an extensive and comprehensive literature overview on the development of autonomous actuators based on synthetic materials, bringing together valuable knowledge from several studies. Furthermore, the article identifies the fundamental principles of actuation mechanisms and defines key parameters to address the size
Alejandro Palacios   +4 more
wiley   +1 more source

Robust Reinforcement Learning Control Framework for a Quadrotor Unmanned Aerial Vehicle Using Critic Neural Network

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai   +3 more
wiley   +1 more source

Gecko‐Inspired Adhesive Grasping from Convex to Flat Surfaces with Contact Sensing

open access: yesAdvanced Intelligent Systems, EarlyView.
A gecko‐inspired adhesive gripper with a pair of soft hierarchical bio‐toes and a bionic rolling module is designed for adaptive grasping from convex to flat surfaces. Integrated adhesive contact sensing enables the smart grabbing of complex items. The gripper exhibits adaptability, load‐bearing capacity, and potential for applications in industries ...
Liuwei Wang   +6 more
wiley   +1 more source

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