Results 141 to 150 of about 49,342 (295)

Video guidance, landing, and imaging systems [PDF]

The adaptive potential of video guidance technology for earth orbital and interplanetary missions was explored. The application of video acquisition, pointing, tracking, and navigation technology was considered to three primary missions: planetary ...
Grant, C., Knickerbocker, R. L., Moog, R. D., Rice, R. B., Schappell, R. T., Tietz, J. C.   +5 more
core   +1 more source

“It Is Much Safer to Be Sparse than Connected”: Safe Control of Robotic Swarm Density Dynamics with PDE Optimization with State Constraints

Advanced Intelligent Systems, EarlyView.
This paper proposes a novel control framework to ensure safety of a robotic swarm. A feedback optimization controller is capable of driving the swarm toward a target density while keeping risk‐zone exposure below a safety threshold. Theory and experiments show how safety is more effectively achieved for sparsely connected swarms.
Longchen Niu, Gennaro Notomista
wiley   +1 more source

TRACKING PERFORMANCE OF A SWEPT-WING FIGHTER WITH A DIRECTORTYPE RADAR FIRE-CONTROL SYSTEM AND SCOPE PRESENTATION [PDF]

Tracking performance of f-86d aircraft with radar fire-control ...
Heinle, D. R., Rathert, G. A., Turner, H. L.   +2 more
core   +1 more source

Artificial Intelligence in Autonomous Mobile Robot Navigation: From Classical Approaches to Intelligent Adaptation

Advanced Intelligent Systems, EarlyView.
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella, Angelo Cardellicchio, Cosimo Patruno, Massimiliano Nitti, Nicola Pedrocchi, Vito Renò   +5 more
wiley   +1 more source

Liquid Jetting‐Based Miniature Robotic Navigation in Confined Fluidic Spaces

Advanced Intelligent Systems, EarlyView.
We introduce a new class of liquid‐jetting‐based miniature robots (JetBots) ranging in size from mm‐to‐cm, featuring a unified approach in design, fabrication, and actuation. They demonstrate fast locomotion (30.3 cm/s), rapid steering (648.8°/s), and diverse functions, such as puncturing soft materials and unlimited cargo sampling and delivery, paving
Debasish Roy, Tianlu Wang
wiley   +1 more source

A Soft Robotic Jellyfish with Decoupled Actuators for Agile 3D Locomotion

Advanced Intelligent Systems, EarlyView.
This study presents a soft robotic jellyfish featuring a functionally decoupled actuation architecture. By separating propulsion, steering, and vertical regulation into independent modules, the robot overcomes conventional coupled‐motion limitations. Utilizing a passive‐valve‐based differential drag strategy and lateral water jets, it achieves agile 3D
Zhuoheng Li, Ze Huang, Salvador Pané, Josep Puigmartí‐Luis, Jiwan Kim, Ji‐Hun Bae, Bumjin Jang   +6 more
wiley   +1 more source

An assessment of various side-stick controller/stability and control augmentation systems for night nap-of-Earth flight using piloted simulation [PDF]

Several night nap-of-the-earth mission tasks were evaluated using a helmet-mounted display which provided a limited field-of-view image with superimposed flight control symbology.
Aiken, E. W., Landis, K. H.
core   +1 more source

Concentric Rheostat Decoupled 3D Force‐Sensing Module for Smart Table Tennis Training

Advanced Intelligent Systems, EarlyView.
A 3D‐printed sensor array intrinsically decouples normal and shear forces through a unique concentric structural design. By integrating piezoresistive, sliding area‐varying capacitive, and concentric rheostat mechanisms, the 12‐sensor module achieves high‐resolution 3D force mapping without complex algorithms.
Zhe Liu, Kunlin Wu, Bingrui Sim, Wenjie Lai, Xingyu Chen, Jiajun Liu, Yifan Wang, Soo Jay Phee   +7 more
wiley   +1 more source

Driver Behavior Modeling with Subjective Risk‐Driven Inverse Reinforcement Learning

Advanced Intelligent Systems, EarlyView.
A subjective risk‐driven inverse reinforcement learning framework is proposed to model driver decision‐making. It infers drivers' risk perception and risk tolerance from driving data. A learnable risk threshold is used to regulate decisions, enabling interpretable and human‐like driving behavior decisions.
Yang Liang, Zichao Wang, Zhiwei He, Qingquan Wei, Yong Zuo, Linzhen Nie, Zhishuai Yin   +6 more
wiley   +1 more source

Computer simulation of on-orbit manned maneuvering unit operations [PDF]

Simulation of spacecraft on-orbit operations is discussed in reference to Martin Marietta's Space Operations Simulation laboratory's use of computer software models to drive a six-degree-of-freedom moving base carriage and two target gimbal systems.
Garcia, K. D., Stuart, G. M.
core   +1 more source